The Political Economy of Poverty Reduction - Brookings Institution
Transcript of The Political Economy of Poverty Reduction - Brookings Institution
WOLFENSOHN CENTER FOR DEVELOPMENT
WORKING PAPER 2 | NOVEMBER 2007
THE POLITICAL ECONOMY OF POVERTY REDUCTIONSCALING UP ANTIPOVERTY PROGRAMS IN THE DEVELOPING WORLD
Raj M. Desai
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Author’s Note:
I thank Arntraud Hartmann, Homi Kharas, Richard Kohl, Santiago Levy, Johannes Linn, and participants at a
Brookings Institution seminar for comments on an earlier draft. Oksana Pidufala provided invaluable research as-
sistance. All errors and omissions, of course, are my own.
Raj M. Desai is a visiting fellow in the Global Economy
and Development Program at the Brookings Institution
and a professor in the Edmund A. Walsh School of
Foreign Service at Georgetown University.
CONTENTS
Executive Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
The Challenge of “Scaling Up” . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Scaling up through resource mobilization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
Scaling up through program proliferation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
Scaling up through political bargaining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Scaling up through institutional reform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Scaling up summarized: functional vs. political-institutional perspectives . . . . . . . . . . . . . . . . . 7
Antipoverty Programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
An overview of large-scale antipoverty programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Social assistance (unconditional cash transfers) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Conditional cash transfers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
In-kind transfers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Public works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Asset improvement and accumulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
How effective are LSAPs in low-income countries? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
The Political-Institutional Determinants of Scaling Up . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
What explains the expansion and retrenchment of social policy in developing countries? . . . 20
Globalization and economic openness. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Coalition strength and populism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Democratic politics and pro-poor policies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Creating a favorable environment for antipoverty policy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Overcoming fractionalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Gaining public support for antipoverty programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Integrating antipoverty policy into a social-policy regime . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
Ensuring program survival . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
Preventing elite capture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Annex: Large Scale Antipoverty Programs around the World . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46
Endnotes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
THE POLITICAL ECONOMY OF POVERTY REDUCTION 1
THE POLITICAL ECONOMY OF POVERTY REDUCTIONSCALING UP ANTIPOVERTY PROGRAMS IN THE DEVELOPING WORLD
Raj M. Desai
EXECUTIVE SUMMARY
Large-scale antipoverty programs have achieved
signifi cant and positive results in many develop-
ing countries around the world in the past decade.
This paper explores the challenges of “scaling up”
small-scale antipoverty programs—taken here to mean
the processes by which successful efforts to raise the
incomes of the poorest citizens in developing coun-
ties are expanded in coverage over time and across
geography. In particular, I advocate supplementing
approaches that highlight resource and program con-
straints with an expanded focus on the political dy-
namics involved in expanding pro-poor policies. Thus,
greater emphasis should be placed on understanding
the political factors that limit the expansion and sur-
vivability of antipoverty programs. A broader view
along these lines highlights the bargaining strength of
benefi ciaries, the need to secure public support, the
potential for political misuse of antipoverty programs,
and how institutional fragilities affect their sustain-
ability. Antipoverty programs can be effectively scaled
up if attention is paid to addressing these political
and institutional challenges. An agenda for future re-
search is also identifi ed.
2 WOLFENSOHN CENTER FOR DEVELOPMENT
INTRODUCTION
In recent years there has been greater appreciation
of the need to “scale up” development programs
by expending greater resources to ensure that the
benefi ts of poverty reduction are widely shared (see,
e.g., Moreno-Dodson 2005; Binswanger and Aiyar
2003). For the purposes of the discussion that fol-
lows, “scaling up” is defi ned as the process by which
efforts to raise the incomes of the poorest citizens are
extended in coverage along multiple dimensions—over
time and geography, both within and across countries.1
Scaling up is central to the objectives envisaged by
the Millennium Development Goals, requiring both a
greater mobilization of resources devoted to antipov-
erty assistance as well as more ambitious antipoverty
strategies (United Nations 2000).
This paper argues that a more complete understand-
ing of scaling up will need to move beyond an em-
phasis on the “functional” characteristics of scaling
up—the (human, informational, and fi scal) resource
constraints, as well as the organizational and pro-
grammatic constraints—and address the political-insti-
tutional conditions of scaling up. Doing so requires a
sharper focus on the interactions between politicians,
program administrators, local and national elites,
and their constituents (of which the poor are but
one group). While resource and organizational con-
straints are critical, evidence from a quarter century
of analysis of comparative public policy in developing
countries suggests that these constraints are rarely
exogenously set. Rather, they are often the result of
complex bargaining between public and private ac-
tors, and are shaped by unique political processes
in which these actors are engaged. The creation and
maintenance of large-scale antipoverty programs
(LSAPs) will be affected by the political calculations
involved in conduct of social and redistributive policy
in developing countries.
This paper is organized as follows. The next section
examines the various dimensions of scaling up—from
both the functional and political-institutional perspec-
tives. Section 3 provides an overview of the main
categories of LSAPs that have been implemented in
countries around the world, and briefl y surveys some
evidence of their effectiveness in the poorest coun-
tries. Section 4 examines the problems of expanding
or maintaining redistributive programs in developing
countries, and derives some implications for scaling
up and sustaining antipoverty programs. The fifth
section concludes and identifies a future research
agenda.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 3
THE CHALLENGE OF “SCALING UP”
“Scaling up” is a concept replete with multiple
uses and meanings. To a certain extent, this
multiplicity may be due to an inversion of the usual
relationship between concept (label) and subject.
Initially, “scaling up” became fashionable policy lan-
guage to examine how successful, limited-scale policy
experiments or development projects (microcredit,
urban renewal, rural support, infrastructure projects,
health and educational projects being among the
most common) could be enlarged without any loss of
effectiveness. Much of this was the case after disil-
lusionments in the developing world with the results
of country-wide policy reforms, and with the ability
of governments in developing countries to deliver
essential services to the poor. In the lexicon of inter-
national development, consequently, scaling up has
emerged as a concept with little agreement on its
purpose. Discussion of the “meaning” of scaling up is
akin to trying to fi nd an appropriate bottle to attach
to a label, and has had a predicable result: a prolifera-
tion of uses.
Rather than identifying different meanings of the
term scaling up, I focus below on the different di-
mensions by which limited-coverage, experimental,
or pilot programs are “scaled up” in practice. These
are not exclusive categories; scaling up often entails
movement along these dimensions in parallel. Some
are frequently found in discussions of scaling up, oth-
ers less so. Table 1 summarizes the relevant details of
these dimensions.
Table 1: Four Components of Scaling Up
How is scale achieved?
Key determinants of program effectiveness
Main obstacles to scaling up
How are programs sustained?
Resource mobilization
By increasing budget, information, and personnel to expand benefi ciary coverage of programs over time
Information-gathering and processing abili-ties of program admin-istrators; capacity of supplemental agencies and institutions
Insuffi cient resources to support expansion of program coverage and improvements to absorptive capacity of executing agencies
Fiscal commitment to antipoverty policies supporting large-scale programs without loss of effectiveness
Program proliferation
By selecting and replicating proven antipoverty efforts across geographic boundaries
Adaptability of orga-nizational capacities and practices to other contexts bases based clear counterfactuals
Incorrect combination of standardization vs. fl exibility in spread-ing programs to other regions or countries
Feedback from continuous evaluation; program modifi cations to ensure self-fi nancing, etc.
Political bargaining
By altering equilibrium that defi nes relationship between the government and key groups
Policy demands of benefi ciaries; enfran-chisement of the poor relative to the non-poor
Lack of public support for program; mobilization of opponents to pro-poor transfers
Creation of natural constituencies for antipoverty policy; support from the median voter or from critical groups
Institutional reform
By changing incentives of program adminis-trators, public offi cials, and elites
Restraints on misuse of programs for rent-extraction (including manipulation in electoral cycles)
Absence of clear delin-eation of authority; in-compatible incentives between branches or levels of government
An environment that enables programs to resist partisanship and survive changes in government or regime
4 WOLFENSOHN CENTER FOR DEVELOPMENT
Scaling up through resource mobilization
At base, scaling up involves enlarging the scope (ben-
efi ciary coverage, geographic presence) of limited in-
terventions. A key dimension of scaling up, then, is the
mobilization of fi nancial, human, and informational
resources needed to sustain expanded programs.
Financial and human resources for scaling up and for
operating at scale are rarely in place at the outset, and
old spending priorities cannot simply be replaced by
new ones. Naturally, donor funding is expected to play
a critical role in these matters. Recent analyses have
raised questions about macro- and micro-economic
consequences of increased aid fl ows to poor countries,
as well as the lack of institutional capacity to support
these fl ows. In particular, developing countries that
lack effective fi scal institutions or institutions to po-
lice the common market, regulate and administer the
distribution of public goods, are considered likely to
experience early “saturation” points after which scal-
ing up is unlikely to produce concomitant benefi ts.
While forecasts of increased-aid scenarios are beyond
the scope of this paper, these analyses have placed
the issue of “institutional” and “absorptive” capac-
ity front and center, suggesting that, in addition to
the resource constraint, developing countries may
be limited in their ability to utilize higher aid fl ows
effectively due to, e.g., skill shortages or macroeco-
nomic imbalances such as “Dutch-disease” exchange
rate appreciation (International Monetary Fund 2006;
Gupta, Powell, and Yang 2006), constraints generated
by donor fragmentation, and technical and manage-
rial defi ciencies within countries (Hanlon 2004).
The lack of informational, financial and human re-
sources commonly appear as a lack of administrative
capacity. Often the country’s bureaucracy does not
have the capability to assess and verify eligibility for
LSAPs on a wide scale, much less retain the necessary
records for large numbers of participants. Or, partici-
pating individuals or households may not have access
to supplemental institutions necessary for LSAPs to
operate—financial institutions in the case of social
insurance schemes or some types of transfers, health
and educational services in the case of conditional
programs, etc. Other programs may have a limited
impact in countries where households derive their
income from a host of informal sector activities, and
where it can be diffi cult to tailor products to meet the
needs of these households. Even in those countries
where LSAPs are administratively feasible, it may be
diffi cult to collect and maintain the amount of infor-
mation needed to apply income and means tests.
Scaling up through program proliferation
International experience suggests that resources
are a necessary but insuffi cient component of scal-
ing up. A second dimension of scaling up, therefore,
involves replicating or adapting program procedures,
conditions, or instruments to operate on an expanded
scale. The underlying assumption is that, while not
perfectly translatable, basic operational modes and
project features can be effectively and repeatedly rep-
licated elsewhere (Gillespie 2003). Scaling up along
this dimension implies that the organizational basics—
management processes, internal fi nancial practices,
linkages with donors, and rules (including benefi ciary
targeting, conditionality, instruments, etc.) must be
redesigned in order for programs to function at an
expanded scale. Some analysts have referred to this
approach as “universalist,” where experience provides
generalizations that can be duplicated, expanded, or
adapted elsewhere according to basic rules (Hancock
2003; Oudenhoven and Wazir 2003). Consequently,
one of the cornerstones of scaling up is programmatic
evaluation. A practitioner’s handbook notes:
THE POLITICAL ECONOMY OF POVERTY REDUCTION 5
Step 1 of the scaling up process [is to] develop a
scaling-up plan. Concrete results achieved dur-
ing Step 1 include a realistic assessment of the
prospects and parameters for scaling up and
a road map for getting to scale. This step also
includes developing the documentation and be-
ginning to build the support that will be needed
later in the scaling-up process . . . Timing is also
critically important. Often, discussion of scaling
up begins only after a pilot project is underway
or completed. These projects are often assumed
to be successful based on anecdotal evidence
rather than a thorough, evidence-based evalua-
tion of the extent and reasons for a model’s suc-
cess; an assessment of the model’s strength’s,
weaknesses, and cost-effectiveness; and a com-
parison with alternative models or mechanisms
for achieving the same goals (Cooley and Kohl
2005).
From this perspective, scaling up and evaluation
are complimentary activities, whereby evaluation
can offer valuable indications of program reliability
and translatability (Dufl o 2004; Fiszbein and Gevers
2005). In this class of approaches, interventions are
examined ex-post, and attempts are made to identify
factors affecting their effectiveness, on the basis of
which recommendations can be made for scaling up
interventions by replication.
Programs that are to be scaled up usually require
changes in design and implementation due to the ex-
panded access of program benefi ciaries to services
and markets. In Papua New Guinea, for example, a suc-
cessful pilot to extend healthcare to the countryside
was scaled up in the 1990s. Despite increasing health
expenditures signifi cantly, the scaled-up version of
the healthcare program did not prove satisfactory,
primarily due to the sparse population density, com-
bined with communications problems between health
service providers and benefi ciaries, in the countryside
(Asian Development Bank 1995). By contrast, one of
the lessons from the well-known success of the West
African Riverblindness Control effort was that, at
an expanded scale (the program was scaled up from
regional pilot to cover 11 countries between 1974 and
1990) fl exibility in program design was essential, as
was a reduced reliance on central governments (and
greater community involvement) in the management
of key partnerships, together with better harmoniza-
tion of program practices across geographic areas
(Benton et al. 2002).
Both the resource-mobilization and proliferation di-
mensions to scaling-up recognize that the poorest
tend to under-invest in health and education, and that
expanding those small-scale interventions that have
provided critical services or goods to the poor requires
both greater fi nancing and administrative capacity,
along with careful adjustments for projects to operate
in other communities, regions, or countries. But these
dimensions, taken together, are an incomplete view of
scaling up. They do not adequately address the issue
of why, if there is little uncertainty as to the benefi ts
of interventions in basic health care, education, sani-
tation, or of secure property rights or better access
to credit for the poor, governments of poor nations
have repeatedly failed to scale-up these programs on
a wider scale or sustain them. Nor do perspectives
on the need to enhance institutional capacity explain
why governments fail to build institutions to manage
public expenditures or secure contractual rights. Two
additional dimensions address these concerns
Scaling up through political bargaining
A third dimension of scaling up focuses on a particular
“demand-side” dynamic, namely, bargaining and dis-
tributional confl icts between the poor and non-poor
over antipoverty and social policy. This component of
6 WOLFENSOHN CENTER FOR DEVELOPMENT
scaling up is based on two assumptions: (i) that anti-
poverty programs remain limited in scale because of
the limited political engagement by benefi ciaries as a
coherent “interest group” in determining antipoverty
policy; and (ii) that the poor may have less access and
representation in the political system than the non-
poor. Consequently, the scaling up of antipoverty pro-
grams will depend on the bargaining strength of the
poor relative to the non-poor, as well as on the sup-
port for these programs among the non-poor.
Participatory, “bottom-up” approaches to scaling-up
became increasingly accepted by the development
community beginning in the 1980s, perhaps prompted
by the need to fi nd new, internal sources of fi nancing
and investment following the debt crisis in much of the
developing world (Uvin and Miller 1994). The poor, how-
ever, face unique barriers to collective action. Research
showing that greater intra-community inequality in-
creases the costs of collective action and marginalizes
the poor in village-level targeting, for example, indi-
cates some of the constraints to scaling up (see, e.g.,
Das Gupta, Grandvoinnet, and Romani 2004; Emmett
2000; Platteau and Abraham 2002). When faced with
the opportunity costs of participation, the poorest are
also less likely to be engaged in local government, com-
munity organizations, or civil society to the degree re-
quired for the scaling up of community-based projects
(Mansuri and Rao 2004). Civic organizations—which
could potentially fill gaps left due to the failures of
markets or governments to provide critical services for
the poorest (Devarajan and Kanbur 2005)—are often
under-developed in poor communities.
Beyond local civic engagement, for the poor there
is often a problem of broader disenfranchisement
in most political systems in that the poor are gener-
ally not well-represented in national policymaking
processes. By contrast, the non-poor—especially the
middle class—who are well-represented may oppose
long-term redistributive programs in which they do
not benefi t. Thus the central challenge to scaling up
is the need to alter the fundamental relationship be-
tween the poor and public offi cials, by overcoming
both the obstacles to collective action among pro-
gram benefi ciaries, as well as the opposition of key
political actors who set public policy agendas.2
Scaling up through institutional reform
Beyond the political weight of the poor in decision-
making processes—either directly or via represen-
tation—and their bargaining strength vis-à-vis the
non-poor, the general architecture of governance
and the division of governmental authority can have
a variety of effects on public policy, and therefore on
the scaling up of antipoverty programs. A fourth di-
mension of scaling up, therefore, involves the govern-
mental institutions required to administer and sustain
antipoverty programs on a large scale. The design and
implementation of LSAPs, as well as their re-design
and scaling up, all occur in specifi c settings defi ned
by the rules by which public offi cials, politicians, and
other elites exercise political authority over program
recipients. The formal and informal process of gov-
ernmental decision-making determines the infl uence
of public agencies and offi ce holders on the scope of
antipoverty programs. Scaling up, then, can require
certain reforms to these arrangements.
The defi ning characteristic of antipoverty programs—
which transfer goods, services, or productive assets
to the poor—also makes them politically valuable
apart from their impact on poverty. They can be used
to secure the loyalty or recipients, to buy-off dissent
or opposition, or to punish opponents by withholding
benefits. For this reason, scaling up involves some
THE POLITICAL ECONOMY OF POVERTY REDUCTION 7
important institutional imperatives.3 First, scaling up
requires a certain compatibility of incentives between
branches of government as well as between levels of
government. The scaling up of antipoverty programs
is subject to stalemates between legislatures and
presidents, or between central and sub-national au-
thorities. LSAPs are also susceptible to holdups where
different ministries or public agencies—responding to
different constituencies and facing different incen-
tives—fail to coordinate in program implementation.
Workfare programs, for example, are notoriously
prone to these problems, as the programs often affect
the jurisdiction of labor ministries as well as (depend-
ing on the nature of the work program) a whole host
of competing local or regional bodies. To some extent,
this may be achieved through clear separations of pow-
ers between parts of government (to avoid overlap).
Second, scaling up requires a compatibility of incen-
tives between successive governments in order to be
survive changes in governments. Program designers
would prefer to establish LSAPs that are valuable
to their political party, group, or faction, while their
opponents would prefer to design sunset-clauses or
time-limitations into these programs. These confl icts
often limit scaling up in one of two ways—either they
can produce protracted stalemates between program
advocates and opponents leading to long delays in
scaling up, or they can lead to the elimination of pro-
grams following a change of government.
Scaling up summarized: functional vs. political-institutional perspectives
Figure 1 depicts these various dimensions of scaling
up. The bottom half of the diagram—in black—indicates
the narrower, “functional” approach that focuses on
resources (human, informational, and fi scal), along
with programmatic adjustment during scaling up.
From this perspective, programs to be scaled up—
along with resource commitments—are determined
partly by domestic actors, but are potentially infl u-
enced by external actors such as bilateral or multilat-
eral development organizations, NGOs, etc. (who may
Figure 1: The Components of Scaling Up
IMPACT
RESOURCECOMMITMENTS
PROGRAMADJUSTMENTS
INSTITUTIONAL CONTEXT
Political bargaining
Social policy demands
Program selection
Externalactors
(donors,NGOs, etc.)
IMPLEMENTATIONREPLICATION
8 WOLFENSOHN CENTER FOR DEVELOPMENT
also commit resources). Implemented (or replicated)
programs are evaluated, and programs are adjusted
during scaling up.
The upper half of the diagram—in grey—identifi es the
political-institutional components of scaling up. Begin
with political bargaining between groups over the con-
tent and scope of antipoverty transfers. These group
dynamics produce a set of policy demands that, in
turn, infl uence the selection of antipoverty programs.
Resource commitments also infl uence program selec-
tion and implementation, but these commitments are
not exogenous. Rather they, too, are shaped by policy
demands of domestic constituencies (as well as by
potential external actor). Bargaining, the antipoverty
policy agenda, and selection of antipoverty programs,
are all influenced by the institutional context—the
incentives and capabilities of the various branches
or levels of government through which policy de-
mands are mediated and that are responsible for
program implementation. Once selected programs
are implemented, their impact will infl uence program
(re)design, as well as the processes of bargaining
and the institutional context in which key actors fi nd
themselves.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 9
ANTIPOVERTY PROGRAMS
Over the past two decades, improvements in the
measurements of the incidence, duration, and
severity of poverty have vastly expanded our knowl-
edge of the characteristics of those living below
poverty thresholds in developing countries (see, e.g.,
Chen and Ravallion 2004). Progress has also been
made in understanding the nature of the inter-rela-
tionships among these characteristics, with recent ef-
forts made to clarify causal linkages usually obscured
by problems of endogeneity and simultaneity. In ad-
dition to better measurement, the past 15 years have
seen a proliferation of a diverse number of antipov-
erty programs in developing countries. Whereas pub-
lic offi cials in previous decades were often limited to
using national economic agencies to reform landhold-
ing, widen access to health services, education, and
credit (usually through some form of price distortion),
in the past several years development offi cials have
chosen from a widening repertoire of fee waivers and
subsidies, public works and employment programs,
cash transfers, “near cash” transfers, property rights-
based programs, micro-credit and informal insurance
programs (to name a few) directed at the poor. New
sources of information combined with advances in
evaluation methodologies, in turn, have also improved
program design and allowed for more effective policy
interventions.
More recently, development practitioners have
sought to examine how these results can be sustained
and scaled up to reduce poverty on a global scale.
Enlarging the coverage of smaller-scale interventions
and transplanting successful efforts across borders,
however, presents some important empirical lacuna
regarding the linkages between these smaller-scale
interventions and their scaled-up versions. First,
although much is known about the “profi le” of the
world’s poor as well as of the effects of different types
of programs on income and consumption poverty, on
asset accumulation, and on schooling, nutrition, child
health, infant mortality, and other human-capital out-
comes, our empirical knowledge of the effectiveness of
these different interventions across programs, across
countries, and over time, remains somewhat limited.
It is unclear, for example, whether conditional cash-
transfer programs in Latin American countries—the
successes of which have been much publicized, and
which are increasingly popular in developing coun-
tries—would have comparable effects in lower-income
countries. Preliminary comparisons, in fact, show that
conditional cash transfers fare poorly in Sub-Saharan
Africa (Kakwani, Soares, and Son 2005).
Second, we do not fully understand the differential
effects of antipoverty efforts on those who are only
occasionally poor and those who, more-or-less, are
permanently poor. A central difference noted in pov-
erty assessments is between those who are always
below the threshold and those who fi nd themselves
occasionally below—the “chronic” vs. the “transient”
poor (Chronic Poverty Research Center 2006). The
chronic poor, for example, are more likely to be mem-
bers of ethnic minorities or indigenous groups, more
likely to face discriminatory labor practices, more
likely to suffer from disabilities or “stigmatized” dis-
eases, and more likely to be female than the transient
poor. The political economy of poverty for those who
are chronically poor is, similarly, often highly distin-
guishable from that of the transient poor: larger per-
centages of chronic poor live under adverse climactic
conditions (drought- or fl ood-prone areas), in isolated
regions, in politically-fragmented communities, or in
weak or failed states. But to the extent that scaled-
up antipoverty programs would incorporate greater
numbers of the poor around the world, understand-
ing the effects of the distinctions between these two
groups on program effectiveness will be crucial, as will
10 WOLFENSOHN CENTER FOR DEVELOPMENT
be giving equal attention to preventing the downward
mobility of the vulnerable non-poor, as to lifting up the
chronic poor (De Janvry et al. 2006; Holzmann and
Jorgensen 2000).
Third, the linkages between effective LSAPs in mid-
dle-income countries and broader social policies are
poorly understood, and thus there is little comprehen-
sion of “next steps” for interventions that have proven
successful. Designers of food subsidies or service-fee
waiver programs for the poorest, for example, face
important questions as to how to incorporate these
programs into existing social-protection regimes in
their countries, or indeed, whether they should be
incorporated at all (Levy 2006). The advantages and
disadvantages of an integrated safety (including anti-
poverty efforts) are little known and have only begun
to be investigated.
An overview of large-scale antipoverty programs
For purpose of this discussion, antipoverty programs
may be considered social programs that have two
objectives: (i) to raise income levels of individuals liv-
ing below the poverty line; (ii) to protect vulnerable
individuals or households living above the poverty
line from shocks that might push them into poverty.
In addition to creating a consumption “fl oor” for poor
households, antipoverty programs can also encourage
individuals to take initiatives that incur some risks but
bring potentially higher returns. Heads of households
who participate in LSAPs may choose to grow higher
yield crops or employ modern farming methods. They
may hold more productive, but less liquid, assets
rather than cash. More recently, it has been recog-
nized that antipoverty programs can diminish the like-
lihood that households, during hard times, will engage
in behavior that is destructive over the long-term,
such as withdrawing children from school or selling
productive assets (Sinha, Lipton, and Yaqub 2002;
Vakis, Kruger, and Mason 2004).
A variety of different programs can be used to provide
assistance to households living in poverty, and to help
them deal with the impact of shocks. Figure 2 shows
the different categories of large-scale programs in a
simplifi ed taxonomy. LSAPs may be categorized ac-
cording to whether they entail transfers to the poor, or
whether they are intended to assist in the accumula-
tion or improvement of their assets. If the former, pro-
grams can be further subdivided into programs that
involve cash transfers or in-kind transfers. Cash trans-
fers can be conditional or unconditional.4 Finally, con-
ditionalities typically attached to the receipt of cash
payments can require proof of employment (or of
attempts to seek employment) or actions taken to im-
prove the health and education of children. The wide
range of antipoverty programs refl ects the fact that
households may be exposed to a variety of shocks and
risks, both temporary and permanent, idiosyncratic
(affecting specifi c households, such as illness or death
of a breadwinner) and covariate (affecting whole com-
munities or countries, such as droughts or shifts in
terms of trade), and these may need to be addressed
through different instruments.
Social assistance (unconditional cash transfers)
The provision of cash assistance to the poor or those
who face a risk of falling into poverty in the absence of
the transfer is meant to protect the incomes of vulner-
able households. Two commonly used unconditional
cash-transfer programs are general needs-based so-
cial assistance and more specifi c family allowances—
both of which comprise large portions of safety nets
in OECD countries, where approximately 8% of GDP is
THE POLITICAL ECONOMY OF POVERTY REDUCTION 11
allocated to such programs; by contrast, governments
allocate less than 1% of GDP to cash transfers in de-
veloping countries, and the percentage of the work-
force eligible for cash transfers is between one-half
and one-quarter of the size of the population covered
in richer nations (International Labour Organisation.
2000). General social assistance—a means-tested ben-
efi t—may be a regular or an occasional transfer, fl at
or variable, depending on the benefi ciary’s resources.
The most common cash transfers are usually com-
ponents of social insurance programs that protect
a small segment of the workforce: social pensions,
unemployment insurance, and depending on welfare
laws in each country, transfers related to death and
disability, sickness, or maternity. Family allowances in
turn may be a categorical or a means-tested benefi t
paid to families with children under a certain age, and
may be a regular or occasional transfer.5 While the pri-
mary objective of cash-transfer programs is poverty
relief, benefi ts such as the family allowance may fulfi ll
secondary objectives, such as protecting families with
children (Edmonds 2004).
The most critical design features to ensure the pro-
gram’s effi ciency and effectiveness are the choice of
the method used to select benefi ciaries, the payment
modalities chosen, and the implementing institutions
(Tabor 2002). It should be noted that once the pro-
cesses for the implementation of the program are in
place, the administrative cost of cash transfers tends
to be lower than the one of any other transfer pro-
gram (Pinto 2004). In contrast to in-kind transfers,
Figure 2: A Schematic of Basic Large-Scale Antipoverty Programs
Cash Non-cash
Conditional Unconditional
Human capitalimprovement
Employment
Conditionalcash transfers
(Health- andeducation-basedconditionalities)
Publicworks
(Urban and ruralworkfare
programs)
Unconditionalcash transfers
(Social funds,general welfareprograms, etc.)
Subsidies &fee waivers
(Food-relatedprograms, health,housing, and price
subsidies orservice-fee
waivers)
Assetaccumulation /improvement
(Microcreditprograms, land -titling programs)
Transfer-based Asset-based
12 WOLFENSOHN CENTER FOR DEVELOPMENT
cash does not require any costly transport or storage
of goods, nor does it require defraying the cost of
materials, tools, or supervision typically needed for
public works programs (Farrington and Slater 2006).
They also give recipients full discretion in choosing
how to spend the transfers. Cash-transfer programs,
fi nally, have also been privately operated, or operated
by NGOs. The most prominent examples of the former
are within-family transfers, religious-group programs,
kinship groups, and other forms of community pro-
tection that comprise large portions of antipoverty
efforts in some developing countries. An NGO-based
cash-transfer program is operated by is the Indian
Self-Employed Women’s Association (SEWA), whose
members are poor women who work as vendors,
home-based workers, and laborers. Among other pro-
grams, SEWA operates a cash-transfer scheme cover-
ing health, property, death, and disability insurance
(Sinha 2002; Jain 1999).
In eastern and southern Africa, unconditional cash
transfers have rapidly gained in popularity in re-
sponse to chronic poverty, food insecurity, and health
concerns in HIV-prevalent countries. Cash-transfer
schemes or pilots have been introduced in several
countries, typically with donor support. Although few
survey-based impact assessments have been con-
ducted in this region, a comprehensive qualitative re-
view of cash-transfer programs in 15 African countries
reveals the following (Devereux et al. 2005):
Target groups for cash-transfer programs tend to
be groups that are not necessarily the poorest,
but groups such as workers in the formal sector
(who receive contributory pensions), as well as
orphans, elderly, natural or humanitarian disaster
victims, disabled, and veterans. Increasingly, sev-
eral programs are beginning to target the poorest
(Botswana and Zambia currently offer schemes tar-
geted towards “the destitute”).
•
The rationales for these cash transfers, although
they are increasingly aimed at chronic poverty,
were generally designed as emergency relief pro-
grams, rather than as social programs to be de-
livered during normal times. Consequently many
of the cash-transfer programs are not predictable
protections against chronic vulnerabilities that the
poorest households face.
Cash-transfer programs with NGO/donor participa-
tion tend to operate on a smaller scale relative to
government-funded programs, but tend to have
far better targeting and monitoring. Private sector
participation in cash transfers is rare, but several
contributory schemes now involve parastatals and
are beginning to contract with the private sector for
payment delivery.
Conditional cash transfers
Although the details of program design vary from case
to case, conditional cash transfers (CCTs) require that
households, in exchange for cash, undertake mea-
sures to improve their children’s health and education
by requiring their attendance in school, or regular vis-
its to health clinics or nutrition centers. The transfer
of cash contingent on these activities, then, is meant
to promote the accumulation of human capital, limit
the propensity of households to remove children from
school or engage in other activities that increases the
likelihood of long-term poverty, and thereby prevent
the transmission of poverty across generations.
CCTs have recently gained enormous popularity
due in part to mounting evidence of their effec-
tiveness, particularly in Latin American countries.
In 1997, Mexico launched Programa de Educación,
Salud, y Alimentación (PROGRESA, now known as
Oportunidades). Shortly thereafter Brazil started
Programa Nacional de Bolsa Escola and Programa de
Erradicação do Trabalho Infantil (PETI), Colombia the
Familias en Acción program, Honduras Programa de
•
•
THE POLITICAL ECONOMY OF POVERTY REDUCTION 13
Asignación Familiar (PRAF), and Nicaragua Red de
Protección Social (RPS). Beginning with PROGRESA-
Oportunidades in Mexico, these fi rst-generation CCTs
have been characterized by effective implementation
with respect to targeting, general administration, and
program outcome (Levy 2006; Rawlings 2004). Well-
implemented CCT programs, designed appropriately
for their settings, have demonstrated a wide range of
favorable results: increased caloric intake and reduced
malnutrition, better use of preventive health services
(immunization, growth monitoring), improved school
enrollment, and reductions in child labor are but a few
benefi ts documented in credible impact evaluations
(see, e.g., Schady and Araujo 2006; Skoufi as and Di
Maro 2006; Gertler 2004; Bourguignon, Ferreira, and
Leite 2003).
The programs are, of course, not a panacea. Although
the available evidence is thin, important differences
between Latin America and Sub-Saharan Africa, for
example, in terms of quality of service provision or
capacity to implement conditionality, and the cost ra-
tio of conditionality may well make the introduction
of CCTs in Africa inappropriate (Schubert and Slater
2006). CCTs have proven less popular in countries
where the quality of essential services (health and
education) is so poor that the benefi ts of imposing
conditionality are in doubt. Recent examinations
have raised questions as to whether CCTs are the
most cost-effective mechanisms available to address
developmental bottlenecks, whether conditionality
focuses on education and health outcomes to the
detriment of poverty and food security, and whether
too much emphasis is placed on enhancing demand
by the poor for social services while too little is
placed on ensuring that their provision is adequate
(Handa and Davis 2006; Barrientos and DeJong
2004).
In-kind transfers
Unlike the case with CCTs or other types of cash trans-
fers, in-kind transfers either go to service providers
directly (in the case of fee waivers, subsidized insur-
ance, or subsidized utilities) or do not involve cash
(in the case of food subsidies). Many governments
use subsidization and in-kind transfers to meet social
protection objectives in lieu of, or in addition to, direct
income transfers. The rationale for using such subsi-
dies rather than cash transfers is based, in part, on the
potential of these instruments to shift consumption
behavior as well as on administrative considerations
(Alderman 2002b). There is substantial evidence that
price, food subsides, and food stamps encourage in-
creased consumption, possibly due to changes in the
share of resources controlled by women (Pinstrup-
Andersen 2002). On the other hand, while these sub-
sidies do lead to increased consumption towards a
commodity in keeping with policy objectives, they may
also distort production or consumption incentives.
Still, governments may also choose price subsidies
because they are easier to administer than income
transfers. In many cases they may also be politically
more tractable (Hopkins 1988). In-kind transfers, ad-
ditionally, are also more likely to be supported by tax-
payers who do not benefi t, since the transfer is both
“implicit” (rather than directly in cash), and used for
necessities.
The most common form of price subsidy is an un-
targeted direct subsidy. However, various other
means may be used to deliver price subsidies as well.
These are: exemptions on value added or other sales
taxes; untargeted indirect price subsidies (such as
for transport or storage); and dual exchange rates,
which include export taxes, producer quotas, subsi-
dies on transport and storage, and domestic sales of
a commodity below its international cost. Rationed
subsidies (quotas), which include untargeted parallel
14 WOLFENSOHN CENTER FOR DEVELOPMENT
market channels for the general population, targeted
access to subsidized goods, and coupons, vouchers,
and stamps, are also used to achieve the same social
protection objectives. Subsidies on goods available in
a rationed amount are a less costly alternative to open
ended subsidies on the entire supply of a good.
The other common form of in-kind transfer is the tar-
geted subsidy. Safety net programs that are tied to
the provision of food, either directly, or through cash-
like instruments (food stamps, coupons) that may be
used to purchase food, is a well-known example. The
most common types of food-based transfers are sup-
plementary feeding programs (which provide a direct
transfer of food to targeted households or individuals,
most commonly for maternal and child feeding), food-
for-work programs, food stamps, and consumer food-
price subsidies. In some countries—in particular, the
formerly socialist countries of Eastern Europe and the
Commonwealth of Independent States—cash transfers
are used to defray the costs of utilities, rather than
food, for poor households.
Recent evidence shows that universal subsidies tend
not to be cost-effective methods of transferring re-
sources to the poor—they are rarely progressive and
are often associated with large consumption and
production-effi ciency costs (Coady 2004; Rogers and
Coates 2002). While targeted in-kind and subsidy
programs can reduce these ineffi ciencies, they tend
to suffer from high degrees of “leakage” to the non-
poor, and signifi cant corruption (Coady, Grosh, and
Hoddinott 2002).
Public works
Workfare programs have been important counter-cy-
clical program interventions in developed as well as
developing countries for many years to counter natu-
ral and economic shocks. These programs typically
provide unskilled manual workers with short-term em-
ployment on projects such as road construction and
maintenance, irrigation infrastructure, reforestation,
and soil conservation.
Public works programs have served as useful safety
nets in middle-income countries during periods of
recession or economic crisis. Chile was the fi rst coun-
try in Latin America to successfully use workfare
programs to target poor unemployed workers and
generate employment, implemented in aftermath of
the 1982 recession. At their peak the various public
work programs employed 13 percent of the Chilean la-
bor force (Lustig 2000). Argentina introduced similar
workfare programs in response to the 1995 “Tequila”
crisis. Trabajar and similar programs are funded
through payroll taxes that are directed into the
National Employment Fund. The resources are used
to build small-scale, labor-intensive public works, in-
cluding social infrastructure, roads, and small sanita-
tion works. Workfare programs in the most successful
cases were well-targeted towards the poor and effec-
tively reduced the vulnerabilities of workers in those
countries during hard times (Ravallion 1999).
In low-income countries, however, evidence from
some public-works schemes shows a sharper invest-
ment return-poverty reduction tradeoff: the greater
the emphasis in generating high-quality investments
from public works, the harder it is for the program
to reach the extreme poor (Coady 2004). Meanwhile
many public works programs in the poorest countries
do not come with clear criteria for programmatic
changes or dissolution, and therefore tend to last well
beyond their intended lifespan. Fragmented coverage
and a weak capacity to respond in times of need un-
dermines the credibility of public works programs to
perform their insurance function for the poor in low-
income countries (Subbarao 2003; Subbarao 1997).
THE POLITICAL ECONOMY OF POVERTY REDUCTION 15
Asset improvement and accumulation
In addition to programs in which cash or goods and
services are transferred to the poor unconditionally,
or in exchange for using health and educational ser-
vices, or for employment in public-works projects,
there is a second class of antipoverty programs to
be considered. Unlike transfer-based programs, as-
set-based programs are intended to encourage and
support the accumulation or productive use of capital
goods that can then be transferred across genera-
tions. Certain transfer-based programs such as CCTs
or fee waivers for health and education, of course, are
linked to human capital accumulation and thus may
rightly be considered asset-based programs, but here
I limit the discussion to non-labor factors of produc-
tion, viz., physical assets such as credit and land.
To a certain degree, asset-based programs represent
a non-traditional approach to poverty reduction,
one that emphasizes relationships between assets,
risks, and vulnerability, instead of static defi nitions of
“poor” and “non-poor,” and that focuses on long-term
asset accumulation instead of the actual income of
the poor (Moser 2006). Asset-based approaches, in
particular, have also prompted reconsideration of the
usual income-poverty line measurement. The concept
of poverty, in its simplest sense, expresses a “gap”
between a minimal standard of welfare—measured as
income, consumption, or some other indicator—and
those who fall below that minimum. More recently,
however, analysts have argued for broader use of dy-
namic, asset-poverty lines and poverty traps based
on inter-generational transfers (Carter and Barrett
2006). But due to the sparseness of systematic data
on household assets in middle- and low-income coun-
tries, and due to the uncertain time horizon over which
asset-based programs are expected to reduce poverty,
analyses of the impact of asset creation and asset im-
provement are diffi cult to design and implement.
Rural credit, for example, has been widely regarded as
a key to poverty alleviation. Macroeconomic analyses
show fairly strong and robust relationships between
the depth and diversifi cation of the (formal) fi nancial
system and economic development (Beck, Demirgüç-
Kunt, and Levine 2004). But microeconomic analy-
ses are less clear. Some analyses have found, for
example, that access to credit is closely correlated
with lower rates of child participation in the labor
market (Beegle, Dehejia, and Gatti 2005), as well as
increased employment and lower poverty for women
(Karlan and Zinman 2006; Khandker 2005). On the
other hand, extensive assessments of the effects of
microfi nance have found little or ambiguous impact
on health and nutrition (MkNelly and Dunford 1999),
or mixed results in terms of poverty reduction.6 There
is also evidence that household portfolio allocation is
ineffi cient, particularly in developing countries, due to
problems of poor education, a weak investor-protec-
tion regime, and a lack of trust in fi nancial intermedi-
aries. If true, the correlation between better access to
formal credit and poverty alleviation may be spurious
tenuous (Honohan 2005). A recent survey of 41 mi-
crofi nance programs that met or exceeded scale and
sustainability benchmarks, moreover, showed that
only 4 of these programs yielded credible and positive
impacts on poverty reduction (Dunford 2006).
In addition to credit, land titling is another asset-
based approach to poverty alleviation that has gained
worldwide attention in the past decade. As land scar-
city has diminished the impact of large-scale land
resettlement programs over the past fifty years,
policymakers have turned to property rights schemes
that aim to establish formal control rights over land
on which the poor may have dwelled for generations.
Among the highest-profi le programs, in recent years,
have been the land-titling efforts associated with the
work of Hernando de Soto and others. The rationale
16 WOLFENSOHN CENTER FOR DEVELOPMENT
for land titling for the poor is clear: because the poor
do not have formal title to land they occupy, they are
effectively shut out of the formal fi nancial system, un-
able to use their land as collateral (De Soto and Litan
2001).
Does land titling increase the access of the poor
to credit and capital? Because of their recent ori-
gin, there is a paucity of evaluations of land-titling
programs and completed evaluations are decidedly
mixed. Participants in a systematic land-titling in
Indonesia, for example, were 12% more likely to use
title certifi cates, once issued, to obtain credit than
control groups (SMERU Research Institute 2002). By
contrast, an evaluation of a Peruvian rural land pro-
gram is inconclusive as to the effect of program par-
ticipation on access to credit (Torero and Field 2005).
Several critics have noted that property title creates
neither a healthy real estate market nor improved ac-
cess to formal credit for the poorest (Gilbert 2002).
In some notable cases, the expectation of formal title
over land held by the poor has prompted predatory
actions by landed elites to evict squatters from land
to be titled (Durand-Lasserve 2004). Larger-scale
land-titling programs, moreover, have suffered due
to weaknesses in judicial systems and in contract en-
forcement mechanisms.
How effective are LSAPs in low-income countries?
Limited cross-national, comparative analysis has been
done on the effectiveness of antipoverty programs. A
list of programs from around the world can be found
in Annex 1. The quantitative evaluatory work on these
programs has been conducted primarily in middle-in-
come countries, with fewer assessments of programs
in the poorest countries, making comparisons prob-
lematic. From limited cross-national research, how-
ever, there are two tentative conclusions that deserve
attention: (i) antipoverty programs that have proven
benefi cial in middle-income countries have shown less
of an impact in low-income countries; and (ii) target-
ing—the main mechanism by which social programs
can be designed to benefi t the poorest—works less ef-
fectively (are more regressive) in poorer countries.
All LSAPs have costs, and all LSAPs have political
risks—namely, the risk that they will be used primarily
to reward or entice political supporters and to punish
opponents. Some of these costs and risks for the fi ve
categories of programs are described in Table 2. The
table also summarizes some potential program-based
risks in low-income countries. Less-developed infra-
structure, weak or failing states, extreme regional dis-
parities, social or political polarization (particularly in
confl ict-ridden areas), and low-growth environments
are just some of the factors that impinge on LSAP
performance in low-income countries.
These factors have consequential effects on house-
hold behavior, and are thus likely to shape the ef-
fectiveness of programs aiming to change household
incentives. Figure 3 shows the effect of CCTs on
school enrollment, given baseline enrollment rates,
across countries. In the first graph showing a set
of Latin American countries along with Bangladesh
and Cambodia—the fi gures for which are taken from
impact evaluations—CCTs have the greatest impact
where the initial enrollment rates are low. The second
panel is based on the UNDP’s International Poverty
Center (IPC) simulations showing the impact of cash
transfers on enrollment in 15 Sub-Saharan African
countries—countries which do not actually have CCTs
in place. These results are based on an ex-ante de-
fi ned model of household decision-making that does
not explicitly examine the effect of conditionality,
but that is built on the assumptions that the poor are
THE POLITICAL ECONOMY OF POVERTY REDUCTION 17
progressively targeted, and that the total program ex-
penditure is proportional to the degree of poverty in
each country.7 The results show a much weaker rela-
tionship between the impact of the transfer and base-
line enrollment, and a much lower overall increase in
enrollment rates, due to the low returns to education
in African countries. Indeed, the UNDP-IPC found that
even affordable programs would not have measurable
impacts on poverty, and that larger, costlier programs
would have limited effects on school attendance.
Similarly, data from South India show that while the
poor are unwilling to expend resources or effort on
ensuring their children attend schools, they spend
large relative sums of money on wedding celebra-
tions and festivals (Rao 2001). The study argues that
publicly observable celebrations serve an important
role in maintaining social reputations and, at the same
time, are forms of status-enhancing competition. In
sum, they are a more valuable investment than alter-
native investments in human capital.
One of the broader indicators of the performance of
antipoverty programs is the effectiveness of their tar-
geting. Indeed, it is frequently argued that the “best”
antipoverty programs identify who the poor are, and
Costs Potential for political misuse
Risks in low-income countries
Unconditional cash transfers
Targeting costs can be high, as can costs of distributing and monitoring receipt of payments, and monitoring benefi ciary participation.
Allocation of cash transfers to secure electoral support, political loyalty (and to punish opposition), or as reward for solidarity, rather than on the basis of need
Use of social assistance for antipoverty can create “patchwork” or fragmented social policy regimes
Conditional cash transfers
Targeting costs, along with need for effective service delivery (in health and education) as part of conditionality
Similar problems as with unconditional transfers, along with numerous opportunities to use service mechanisms as patronage
Undeveloped infrastructure, poor service-delivery, and low-returns to education can undermine willingness to participate
In-kind transfers Potentially high storage and transport costs for food programs; possible distortionary effects of price subsidies
Use of subsidies to “pacify” rural areas, prevent urban protests, political violence, etc., rather than antipoverty objectives
Program administrators may face strong pressures to use in-kind transfers as substi-tute for discretionary spend-ing, such as for emergency relief, food aid, etc.
Public employment High overhead costs of managing, training, and/or supervising benefi ciaries
High potential for misuse of employment programs for non-poverty reduction purposes
Institutional fragmentation undermines insurance function for the poor
Asset-accumulation and improvement
Budgetary impact may be limited, but may expand con-tingent liabilities for govern-ments (e.g., via guarantees for microfi nance institutions)
Politically-based allocation of credit; discriminatory land-titling
Absence of well-functioning real estate or credit markets limits ability of program participants to exercise rights over assets fully
Table 2: Characteristics of Basic LSAPs
18 WOLFENSOHN CENTER FOR DEVELOPMENT
Figure 3: Impact of Cash Transfers on School Enrollment
Source: Morley and Coady 2003), Kakwani, Soares, and Son (2005).
ensure that benefi ts are targeted towards that group.
The debate on the relative merits of targeting—in both
developed and developing nations—is well-known and
requires little summary.8 In upper-income nations, a
combination of income- and means-testing is used
to establish eligibility for participation in antipoverty
programs. Much of the information used to determine
whether or not participants are eligible comes from
tax and purchase receipts, but in many cases social
workers interview applicants individually, yielding an
administrative cost of between 7% and 11% of total
program costs (Organisation for Economic Co-op-
eration and Development 1999). Developing nations,
in contrast, have employed a variety of alternative
mechanisms to target households and individuals
that avoid these prohibitive administrative costs: us-
ing categorical indicators (gender, age, household
size, employment, or whether recipients are disabled,
widows/widowers, disaster victims) to establish proxy
tests, geographical targeting, or “community-based”
assessments in which a local authority is empowered
to select program benefi ciaries.
An assessment of the targeting effectiveness of over
one hundred antipoverty programs in almost 40 de-
veloping countries shows that means-testing is supe-
rior to alternatives such as proxy means, community
assessments, age, or other mechanisms in targeting
outcomes (Coady, Grosh, and Hoddinott 2004). The
same data, however, do not show any signifi cant cor-
relation between country per-capita income and the
likelihood that means testing will be used (although
proxy means are more likely to be used in richer
countries). Yet the country-income effect on target-
ing progressivity is clear: an increase of one standard
deviation in GDP per capita increases progressivity
by approximately 10% (i.e., 10% of the benefi ts are
more likely to accrue to the poorest quintile). Figure 4
shows the estimated effect of country income on tar-
geting performance for the available sample.
To be sure, the administrative costs of targeting can
be substantial—as is the case in the richer nations.
But much of that cost is due to the informational
requirements of means testing. That the preliminary
cross-national data do not show any signifi cant effect
of national income on the likelihood of means testing
suggests that other factors are responsible for the
poor targeting performance of LSAPs in developing
nations. It has been noted that a purely technocratic
0
5
10
15
20
25
30
20 30 40 50 60 70 80 90 100
Zambia
Uganda
Nigeria
Malawi
Mozambique
Madagascar
Kenya
Guinea
GhanaEthiopia
Cote d'Ivoire
Burkina Faso
Burundi
-0.5
0
0.5
1
1.5
2
2.5
3
20 30 40 50 60 70 80 90
Enrollment at baseline
Est
ima
ted
pro
gra
mim
pa
ct(%
incr
ea
sein
en
roll
me
nt)
Bangladesh
Cambodia
BrazilColombia
Mexico (urban)
Ecuador
Honduras
Nicaragua
Mexico (rural)
Enrollment at baseline (%)
Est
ima
ted
pro
gra
mim
pa
ct(%
incr
ea
sein
en
roll
me
nt)
Gambia Cameroon
THE POLITICAL ECONOMY OF POVERTY REDUCTION 19
approach to targeting (which takes into account con-
sumption and income levels of program recipients)
is not feasible because it ignores the distributional
confl icts inherent in the design and implementation
of antipoverty programs (Besley and Kanbur 1990).
In particular, to the extent that movement away from
non-targeted schemes (e.g., food subsidies) towards
targeted schemes entails losses to the middle and
upper classes, large-scale targeted programs may be-
come politically unsustainable, even as the technical
obstacles to effective targeting are overcome.
What are the reasons behind these correlations? The
low resource levels of these countries is a necessary
but insuffi cient explanation, at least at the program
level, since there is evidence of fully donor-funded
programs (e.g., in Tanzania, Zambia) yielding compa-
rably poor results. The conceptual approach taken
here is that antipoverty programs are a sub-set of the
overall social protection regime, and that the choice
of scope, content, and target for these programs is an
inherently political decision infl uenced by the same
factors that shape social protection. In the next sec-
tion I examine what political-economic insights can
be derived from an examination of changes in social
policy in developing countries, before turning to an
examination of how the political and institutional con-
straints to scaling up can be overcome.
Figure 4: Estimated effect of GDP per capita on targeting performance with confi dence intervals
Notes: Graph shows estimated values (dark line) based on stochastic simulation of an OLS model controlling for program type and different categories of means testing, community assessment, as well as targeting by age, geography, work, and consump-tion. Shaded lines represent 95% confi dence intervals. The data rank targeting progressivity for 86 antipoverty programs in 36 developing countries.Source: Coady, Grosh, and Hoddinott (2004).
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
0 20 40 60 80 100
Voice and accountability (sample percentile rank)
Tar
get
ing
pro
gre
ssiv
ity
20 WOLFENSOHN CENTER FOR DEVELOPMENT
THE POLITICAL-INSTITUTIONAL DETERMINANTS OF SCALING UP
To the extent that LSAPs represent large-scale
transfers to the poor, it is important to under-
stand the conditions under which such transfers are
politically feasible on an expanded scale. The perspec-
tive on scaling up used in this background paper is
that the principal determinant of successful, sustain-
able scaling up is a political environment that is favor-
able to pro-poor economic and social policy. In other
words, the same political dynamics that have con-
strained the ability of developing countries to provide
social protection and deliver basic services to their
poorest citizens are the same factors that will limit the
scaling up of successful interventions.
Social protection, when viewed restrictively, is some-
times considered distinct from antipoverty programs,
particularly those programs aimed at the chronic
poor. In developing countries, social protection was
often traditionally associated with a set of institu-
tions, policies, and programs in place aimed at provid-
ing benefi ts to individuals and households to enable
them to cope with short-term risks. But there is now a
greater consensus that social protection can provide
an appropriate framework for addressing transient
and chronic poverty in developing countries, one
that should not be limited to addressing short-term
vulnerabilities, but that can create conditions for the
poor to escape from poverty (Barrientos, Hulme, and
Shepherd 2005). This approach, which merges the
“social protection” and “poverty reduction” agendas,
aims at moving from a disparate set of ad hoc safety
nets and programs toward a more regularized system
that manages the risks and vulnerabilities faced by
individuals and households (see, e.g., Gentilini 2005;
Devereux 2002; Dercon 2003). In developing coun-
tries, social protection faces some specifi c challenges.
I examine some of the determinants of poor social
protection in developing countries before turning to
an examination of some specifi c factors that may pro-
mote scaling up.
What explains the expansion and retrenchment of social policy in developing countries?
The analysis of the rise and expansion of welfare
states in industrialized nations, beginning with the so-
cial and political upheavals in the late 19th century, is
one of the major subfi elds in comparative and histori-
cal political economy. By contrast, very little has been
written on the forces underlying the development and
expansion (or contraction) of welfare states in the
developing world (many of which, in relative terms,
are far richer than the OECD countries were in the
1800s). It has been long assumed, for example, that
the presumably harsher effects of structural adjust-
ment and fi scal-austerity measures on public budgets
contributed to smaller per-capita amounts of public
spending on health, education, and social protection
in poorer countries. This assumption, however, is
not supported by econometric analyses of available
panel-data from developing countries, some of which
fi nd that structural adjustment actually contributed to
an expansion in public spending (Fan and Rao 2003).
There is no consensus, moreover, for explaining how
or why long-run trends in per-capita welfare spending
in Asia, Latin America, and Africa differ from that of
the OECD countries.
What can the historical evolution of social protection
in Western Europe and the U.S. tell us about the con-
temporary problems of social protection and social
spending in the developing world? Some prominent
explanations of welfare state development deserve
examination in the developing country context. These
are drawn from a diverse literature identifying politi-
cal-institutional factors that have enabled or hindered
THE POLITICAL ECONOMY OF POVERTY REDUCTION 21
countries’ abilities to fashion disparate safety net and
antipoverty programs into a coherent system of social
protection. I focus on three inter-related factors: the
effects of economic openness, the bargaining ability of
domestic coalitions and constituencies supporting so-
cial spending, and the nature of the political system.
Low-income countries are unlikely to be able to re-
sist pressures to restrain social spending in the face
of increasingly global economic integration, liberal-
ization, and trade openness;
Low-income countries lack groups with suffi cient
political clout—including, but not limited to labor-
rural alliances, and other “populist” coalitions—that
can credibly demand greater provision of essential
services and social programs for the poor;
Political systems in low-income countries tend to
be “illiberal” or semi-competitive democracies, or
non-democratic, and thus do not prioritize pro-poor
spending or progressive economic policies.
Globalization and economic openness
One prominent explanation, particularly in light of
recent and on-going debates on the effects of glo-
balization, is that economic openness in developing
countries inhibits their ability to spend public funds on
health, education, and social security. One answer to
the question “has globalization gone too far?” is well-
known: neoliberal reforms have undermined the social
protections that countries were able to provide during
the era of import-substitution industrialization, and
have limited public expenditures on social protection
and poverty alleviation (Rodrik 1997). Yet, as Rodrik
himself notes, openness did not have similar effects
in high-income OECD nations where evidence consis-
tently shows that economic openness, lower poverty
levels, large public sectors, and generous welfare sys-
tems are strongly correlated (Rodrik 1999).
•
•
•
The divergence is primarily explained by two com-
peting hypotheses of the effects of globalization on
social spending (Garrett 2001). On the one hand,
openness encourages business groups and inves-
tors—newly exposed to international competition—to
push governments to lower taxes and expenditures,
and limits the bargaining ability of workers to resist
these pressures. In Sub-Saharan Africa, the evidence
is somewhat mixed. Some cross-national evidence
for the region shows only modest cuts for health and
education in the 1980s and 1990s (Sahn, Dorosh, and
Younger 1997), while other evidence shows signifi cant
deterioration in social services resulting in lower vac-
cination and school enrollment rates (Cleaver, Kanbur,
and Rouis 1995). In the typical African state, a com-
mon response to economic retrenchment seems to
have been to protect the position of public-sector
employees while lessening its commitment to antipov-
erty programs, suggesting that globalization is an in-
suffi cient explanation for the decline in overall social
spending (Van de Walle 2001).
On the other hand, a different hypothesis holds that
countries exposed to economic and social dislocations
from trade or fi nancial liberalization are more likely
to provide transfers to key groups as an insurance
against political backlashes. This alternative hypoth-
esis seems to fi t the recent history of Latin America,
where a series of transfer-based programs were initi-
ated in the wake of economic crises consisting not
only of cash transfers to the poor, but of transfers to
rural landholders, public employment programs, and
other subsidies. One of the architects of PROGRESA
summarizes the dilemma presented to policymakers:
[A]lthough increasing the scope and coverage of
existing programs in the short run would show
that measures were being taken to protect the
poor, it would make it more difficult to phase
22 WOLFENSOHN CENTER FOR DEVELOPMENT
them out later on and would reduce the credibil-
ity of the government’s commitment to revamp
food subsidy policy; not doing so, on the other
hand, would give the impression that the govern-
ment was insensitive to the needs of the poor
(Levy 2006).
Additionally, analyses of Eastern Europe and the CIS
also describe the phenomenon of “soft budget con-
straints” for former state-owned enterprises as a de
facto form of social assistance during an era of re-
trenchment, during which implicit subsidies to fi rms
were continued mainly because much of the social
protection in these countries was handled through an
elaborate system of fi rm-owned social assets (Roland
2000; Freinkman and Haney 1997).
Economic openness and integration per se, therefore, do
not explain the variation in social spending one observes
in developing nations over the last quarter century.
Whether governments lower or increase social spending
in response to external economic factors, then is itself a
function of the means citizens have to mobilize support
for or opposition to various programs.
Coalition strength and populism
A long tradition in comparative political economy
places distributional confl icts at the center of analy-
ses of the scope and depth of social protection. In a
nutshell, the conventional wisdom is that a strong
labor movement is vital for maintaining social protec-
tion. Much of the analysis on which these conclusions
are derived from histories of welfare states in Western
Europe, where the spread of social democracy and
labor unionization coincided with expanding public
expenditures on health and education, compensa-
tory transfers to the poor, along with social insurance
(Hicks 1999; Korpi 1983; Esping-Andersen 1990).
Some recent analyses have extended some of these
fi ndings to the developing world, to analyze the effect
of labor strength—or left-wing political movements
more generally—on social spending. One argument
is that labor movements in developing countries (in
the face of globalization) have found themselves in
a weaker bargaining position due to the abundance
of low-skilled workers along with larger pools of sur-
plus labor, limiting their ability to organize or act col-
lectively (Rudra 2002). Although this most clearly
pertains to the differences in strength between labor
movements in OECD countries and developing coun-
tries, it may also apply to the differences between
middle- and low-income countries in recent years. In
Latin America, for example, although trade unions
have remained historically weak (as in much of the
developing world), it is likely that populist movements
may have acted as substitutes in resisting cutbacks to
social protections or LSAPs (Stokes 2001).
A similar argument makes a distinction between
groups in sectors facing shocks—e.g., manufacturing
sectors exposed to international competition—and
those less vulnerable. In this view it is distributional
confl ict between the high- and low-risk sectors, rather
than between classes, that shapes social protection.
Workers and fi rms facing high demand volatility, con-
sequently, will favor institutions of social insurance
that compensate them for losses of income, and that
reallocate these costs across sectors; workers and
fi rms in low-risk sectors will oppose these programs
that turn them into subsidizers of high-risk sectors
(Mares 2005). The outcome of this battle turns on
(i) the relative bargaining strengths of these groups,
and (ii) the government’s ability to manage confl icts
and enforce existing policies, which can dampen the
effect of external shocks on the erosion of social
protection.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 23
Democratic politics and pro-poor policies
The other mechanism through which the effects of
globalization are mediated is the nature of demo-
cratic politics. An axiom in debates on the politics of
social spending is that given lower rates of political
participation by the poor, social spending programs
that benefi t the middle and upper classes are more
likely to maintain support. In other words, although
the median voter may be relatively poor, their effec-
tive disenfranchisement limits their ability to pressure
policymakers.
Nevertheless, democracy does appear to be associ-
ated with greater antipoverty spending in develop-
ing countries around the world. In Latin America,
for example, studies have found that democracies
in the region were more likely to maintain social
security, health, and education expenditures in the
face of recessions in the 1980s than non-democra-
cies (Brown and Hunter 1999). Evidence from over
two decades suggests that the shift to democracy
in Latin America has a stronger (positive) effect on
health and education spending than on pensions
and other welfare transfers that tend to benefi t the
middle class (Kaufman and Segura-Ubiergo 2001).
Two interpretations are possible. First, it may be
the case that democratization in Latin America is
associated with greater mobilization of the poor,
and thus democratic rulers are more likely to re-
spond with public expenditures that reach larger
portions of the poor. The study of the targeting
performance of antipoverty programs cited in sec-
tion 2 above supports this finding, showing that
“voice and accountability” in government increases
the progressivity of targeting. Another likelihood
is that some minimal transfers to the non-poor are
needed to ensure their support for those programs
targeted towards the poor, in order to enjoy sup-
port from broader segments of the public (and to
avoid “backlash” against pro-poor programs by the
middle class).
In Sub-Saharan Africa, resolving the issue of whether
democratic politics leads to more antipoverty spend-
ing is complicated by the fact that many social services
are even more inequitably distributed than they are
in other developing nations. A study of education and
health spending across several African states fi nds that
the richest citizens tended to benefi t disproportion-
ately relative to the poorest (Castro-Leal et al. 1999).
During the 1980s, moreover, prior to the emergence of
democracies in most of Sub-Saharan Africa, the spend-
ing per student on tertiary education exceeded spend-
ing on primary education by a ratio larger than for all
other regions (Pradhan 1996). Multiparty democracy in
Africa, however, has reversed some of these patterns,
with democratic governments more likely to prioritize
primary education (Stasavage 2005).
Creating a favorable environment for antipoverty policy
If antipoverty policy and social policy are jointly de-
termined by similar sets of factors, what do these fac-
tors imply for scaling up antipoverty programs in poor
countries? I identify 5 implications, as well as what
can be done to overcome these problems:
The poor are limited in their ability to exploit the
power of their numbers due to the collective action
problems they face;
There is often a tradeoff between the targeting ef-
fi ciency and political feasibility of LSAPs;
The design and institutional location of LSAPs may
be characterized by stalemates in cases where so-
cial policy is a patchwork of programs and instru-
ments, each administered by different public bodies
with different constituencies, interests, and incen-
tives;
•
•
•
24 WOLFENSOHN CENTER FOR DEVELOPMENT
The institutional arrangements of which LSAPs are a
part are sometimes designed with political objectives
trumping antipoverty objectives, making the survival
of LSAPs during political transitions doubtful;
Elites who administer LSAPs may seek rents, di-
vert assets, or otherwise collect private benefi ts
in ways that undermine the sustainability of these
programs.
Overcoming fractionalization
A wide body of evidence suggests that social and
political fractionalization in poor communities limits
the ability of the poor to engage in collective ac-
tion. Heterogeneous preferences—due to ethnic or
linguistic fractionalization, high levels of inequality,
etc.—also lower the quality of public goods. The inabil-
ity of members to impose credible sanctions in diverse
communities, the unwillingness of some community
members to fund essential services that will be used
by members of other groups, the lack of consensus
on what public goods should be demanded, and the
tendency of all groups in a diverse community to
free-ride on the efforts of others, are all cited as ex-
planations of the problem (Posner 2005; Barr 2004;
Alesina, Baqir, and Easterly 1999). Consequently, the
degree of semi-permanent disenfranchisement may
be extensive. The empirical evidence supporting the
claim that public goods provision in ethnically diverse
communities suffers is overwhelming. Ethnic diversity
is associated with:
Persistent price distortions (Easterly and Levine
1997);
Lower primary school-funding and poor-quality
school facilities (Miguel and Gugerty 2005);
Lower access to functioning basic infrastructure
(Banerjee, Iyer, and Somanathan 2005; Khwaja
Forthcoming);
•
•
•
•
•
Poorer-performing microfinance institutions
(Karlan 2007);
Civil wars, communal violence, and out-migration
(Fearon and Laitin 2003; Varshney 2003);
Exclusion (via discrimination) and self-exclusion
of potential antipoverty program beneficiaries
(Platteau 2000; Castro-Leal et al. 1999).
There is also evidence of discriminatory practices
against the poor who happen to be minorities, raising
the possibility that new cleavages—between minor-
ity- and majority-group poor citizens—can be induced
by public policy. Sri Lanka’s Sumurdhi cash-transfer
program, for example, has accounted for nearly 1.5%
of GDP in recent years. Survey data indicate that the
program discriminates against minorities, as well as
those in newer settlements (Gunatilaka 2000).9 Fear
of governmental agencies among indigenous groups
has also limited the participation of the poor in an-
tipoverty programs in Guatemala, Bolivia, and Peru
(Psacharopoulos 1992; Schady 2001).
The ways in which these divides of ethnicity and reli-
gion have been overcome, therefore, can potentially
instruct project design and scaling up. In particular,
nation-building and political socialization has often
created associational bonds across ethnic or reli-
gious groups, and counteracted some of the exclu-
sion brought about by ethnic diversity and exclusion.
Miguel summarizes the contrast between Kenya and
Tanzania:
Despite their largely shared geography, history,
and colonial institutional legacy, governments
in Kenya and Tanzania have followed radically
different ethnic policies along a range of dimen-
sions—most notably in national language policy,
the educational curriculum, and local institu-
tional reform—with Tanzania consistently pur-
•
•
•
THE POLITICAL ECONOMY OF POVERTY REDUCTION 25
suing the more serious nation-building policies
during the postcolonial period. . . The Tanzanian
nation-building approach has allowed ethnically
diverse communities in rural Tanzania to achieve
considerable success in fund-raising for local
public goods, while diverse communities in the
nearby Kenyan region typically fail. To illustrate,
while Kenyan communities at mean levels of eth-
nic diversity have 25 percent less primary school
funding per pupil than homogeneous areas on
average, the comparable fi gure for the Tanzanian
district is near zero (Miguel 2004).
Gaining public support for antipoverty programs
In addition to increasing the bargaining strength of the
poor, stronger non-poor support for antipoverty poli-
cies can remove many of the political concerns public
offi cials have in committing larger shares of resources
to scaling up antipoverty programs. How can that sup-
port be generated? Program designers face a dilemma:
since most LSAPs do not benefi t the median voter, the
median voter is less inclined to support politicians who
wish to scale up antipoverty programs; but securing
popular support for LSAPs may require that they be
less “pro-poor,” i.e., that greater shares of benefi ts go
to the non-poor. Under ideal circumstances, antipov-
erty programs would be scaled up without fundamental
changes to their (progressive) targeting. But this type
of scaling up is often politically unfeasible because
the non-poor (particularly the middle classes) do not
benefi t, and have little stake in seeing these programs
survive and expand. Consequently, semi-ineffi cient tar-
geting may be an appropriate means of securing sup-
port for scaling up.
Ineffi cient (regressive) transfers may be necessary in
situations where more effi cient targeting can jeopar-
dize crucial support from the non-poor for poverty
reduction, as political attitudes towards the size and
type of antipoverty transfers can dramatically affect
the survival of these programs. Opinion polls from
Latin America, for example, show that those countries
where the poor tend to be held partially responsible
for their own poverty are less likely to support large
antipoverty efforts (Graham 2002). Consequently
many LSAPs deliberately target middle quintiles by,
for example, tying eligibility for receipt of transfers to
formal-sector employment in order to maintain legiti-
macy in the eyes of the public (Lindert, Skoufi as, and
Shapiro 2006). Some have advocated explicitly allow-
ing “leakage” to the non-poor as means of shoring up
broader political support for LSAPs (Pritchett 2005).
Even Mexico’s PROGRESA—widely praised for its pro-
gressive targeting—began passing on more benefi ts to
less marginalized communities and urban groups over
time despite being designed to insulate decision-mak-
ers from political pressures (Levy 2006, p. 65).
It is important to distinguish between ineffi ciently-
targeted transfers, and the ineffi cient transfers them-
selves. While the former may be needed to ensure
that LSAP are politically sustainable, the latter im-
pose distortions on the economy. Pro-poor redistri-
bution sometimes takes a highly distortionary form
due to the lack of transparency in budgetary rules, or
due to high levels of discretion in spending. Some of
these extremely ineffi cient transfers to the poor are
well-known—e.g., the “urban bias” in some countries
whereby price subsidies for the urban poor (and non-
poor) are implemented at the expense of poor farm-
ers, or the use of “off-budget” funds that may have
antipoverty components, but that constitute a contin-
gent fi scal liability for governments. These distortion-
ary transfers sometimes occur as a way of “masking”
the true cost of the transfer (Acemoglu and Robinson
2001). Thus politicians rely on price subsidies rather
26 WOLFENSOHN CENTER FOR DEVELOPMENT
than lump-sum transfers, or on off-budget funds
rather than budgetary expenditures, in order to avoid
revealing the true cost of the transfer and (more im-
portantly) the political relationship between the politi-
cian and the benefi ciary group, and above all, to avoid
signaling to the median voter that the politician cares
about the poor to the exclusion of others.
Integrating antipoverty policy into a social-policy regime
As mentioned above, the poor are not monolithic. They
include urban residents and rural dwellers, young and
old, the employed and the unemployed, informal and
formal sector employees. And the poor themselves
are vulnerable due to a number of factors: health,
age, family situation, social status, or economic posi-
tion. Similarly, social policy—usually having been built
piecemeal—is often equally fragmented across pro-
grams, with each program addressing different and
often overlapping categories of recipients, funding
sources, institutions and agencies, and constituencies.
A proposed framework for Africa identifi es poor inte-
gration as a defi ning characteristic of social policy in
African nations (African Union 2005).
In scaling up antipoverty programs, important ques-
tions of institutional design and incentives need to be
addressed. LSAPs may require either a restructuring
of incentives of participating agencies, or the cre-
ation of a new agency. If the former, incentives need
to be compatible across governmental organizations
such that the benefi ts of the LSAP are “internalized”
equally across agencies (Levy 2006, pp. 148-149).
If the latter, there may be additional considerations
including potential resistance from other agencies
due to turf-battles, the appropriate mix of discretion
and rules in program administration, and the insti-
tutional fi t of the new body into the existing social
policy regime. A clear delineation of powers, including
of revenue sources and expenditure responsibilities,
combined with some system of checks and balances
can facilitate a smoother integration of LSAPs into the
existing social-program architecture.
Ensuring program survival
LSAPs can readily be employed to secure electoral ad-
vantages, a fact not lost on many politicians. The ex-
periences of LSAPs in Latin America are replete with
examples. In Peru prior to elections, Fujimori’s govern-
ment often poured money into the FONCODES public
works and antipoverty programs (Schady 2000). In
Mexico between 1989 and 1994, the national poverty-
alleviation program (and precursor to PROGRESA),
Programa Nacional de Solidaridad (PRONASOL) spent
1.2% of GDP annually on transfers heavily skewed
towards municipalities dominated by the governing
Institutional Revolutionary Party (PRI) (Diaz-Cayeros
and Magaloni 2003). The fact that these programs
yielded electoral returns to the political parties that
started them did not prevent their scaling up—in fact,
their political desirability may have contributed to the
dramatic expansion of these programs. Rather, elec-
torally-driven transfers in Latin American countries
had a limited impact on actual poverty reduction;
more commonly they merely worsened countries’ fi s-
cal stances and exacerbated business cycles (Gonzalez
2002; Schuknecht 2000; Mejía Reyes 2003).
As noted above, however, some electorally-driven
transfers may be necessary to secure the public sup-
port needed for programs to be scaled up and survive.
But there is a danger where the electoral returns to
LSAPs outweigh the poverty-alleviation benefi ts, i.e.,
when LSAPs become an instrument of partisanship.
Partisanship, as already mentioned, may not limit
scaling up, but it can severely limit the sustainability
THE POLITICAL ECONOMY OF POVERTY REDUCTION 27
of LSAPs programs, since partisan LSAPs are typi-
cally shut down during political transitions once the
government of the program originators collapses or
is voted out.
Thus there is an argument to be made for shielding
LSAPs from political manipulation not only because
that manipulation will erode the targeting effective-
ness of these programs, but because greater parti-
sanship in the administration of LSAPs reduced their
chances of survival, since programs that are strongly
associated with a particular group of politicians or po-
litical party are not likely to outlast the tenure of the
politicians associated with the program.
Preventing elite capture
In addition to the use of LSAPs to engage in ineffi cient
transfers, LSAPs are subject to other types of abuse
by political elites. At the central-governmental level,
one type of abuse is the kind of ineffi cient transfer
mechanisms described above: where LSAP admin-
istrators allocate resources on the basis of loyalty,
ethnic or linguistic solidarity, or other factors not re-
lated to need. These forms of patron-clientelism are
well known to analysts of social service-delivery in
developing countries. But at the sub-national level a
different type of scaling-up problem has to do with the
ability of local elites who control LSAPs to use them to
extract private benefi ts.
In large part elite control over community-based
projects is often pervasive. In large countries such
as Brazil, China, India, and Indonesia, authority over
the administration of antipoverty programs is often
delegated to sub-national governments. Supporters
have argued that decentralization is better suited to
antipoverty programs for two reasons. First, better
information is available at the regional or local level
than to the center. Second, local institutions, being
closer to program benefi ciaries, are more accountable
to citizens.
Field research on community-driven projects has
shown that there does tend to be an informational ad-
vantage, but that the informational resource of locals
is not always put to best use. Researchers have found
that local community agents have better information
on household characteristics and can therefore assess
benefi ciary eligibility better than outsiders who rely
on cruder proxies (Cremer, Estache, and Seabright
1996). Among communities in Albania, for example,
those using local information that was unlikely to be
obtained on the basis of a questionnaire or formula
demonstrated better poverty targeted than those that
relying on proxy indicators alone (Alderman 2002a).
In Bangladesh, despite the claims to the contrary,
there is little evidence that the central government
targets poor villages, but rather, that pro-poor target-
ing occurs within villages due to the informational
advantages and better accountability of local com-
munity organizations (Galasso and Ravallion 2000).
On the other hand, a study of Honduran communities
questions the ability of group informants to assess
their own level of food security (Bergeron, Morris, and
Banegas 1998).
But any informational advantage of community-based
programs can be compromised by its diversion to ben-
efi t local elites. Depending on the peculiar lineages of
community power relations, local governments may
be more prone to capture (and consequently, less ac-
countable than the central government). Under these
conditions, decentralization may simply shelter local
elites, who use their position to over-provide essential
services to themselves or their families, or otherwise
expropriate wealth (Bardhan and Mookherjee 2006).
The problems of elite capture, and the means to avoid
28 WOLFENSOHN CENTER FOR DEVELOPMENT
it, are increasingly important as donor agencies en-
thusiastically adopt “participatory” approaches to
scaling up.
A range of studies has revealed the number of mecha-
nisms local elites can use to divert resources from
the poor, and even engage in predatory behavior. The
implementation of community-based projects can cre-
ate an adverse-selection effect whereby those indi-
viduals who are more likely to obtain leadership roles
are precisely those who are better able to extract
rents (Gugerty and Kremer 2000), who are better able
to convince donors that their motivations are based
on the collective good of their community (Harrison
2002), or who are better able to create the façade
of community participation (Conning and Kevane
2002).10 In the words of one study, scaled up antipov-
erty projects—without fundamental changes to au-
thority relations within affected communities—often
constitute “nothing other than new ‘structures’ with
which [elites] can seek to establish an instrumentally
profitable position within the existing structure of
neo-patrimonialism” (Chabal and Daloz 1999, pp. 24-
25). The Economist noted that devolution in Indonesia
produced a system in which provincial rulers:
“[E]xercise their new administrative and fi nan-
cial clout so imperiously that locals refer to
them as ‘little kings.’ Stories abound of reckless
extravagance or outright corruption . . . fears of
decentralization run amok are beginning to re-
place fears of Indonesia’s disintegration” (quoted
in Platteau 2004).
Note that the problem of capture is not limited to case
where there is decentralization in the administration
of antipoverty programs. All of the pathologies de-
scribed above can occur with centrally-run programs.
The case of the soup-kitchens projects within the
Peruvian Food Assistance Program (PRONAA) illus-
trates what can happen.11 Although the original soup
kitchens were grassroots initiatives, the Belaunde
and García administrations in the 1980s began to
integrate the various PRONAA programs into the
structures of the state, and by 1990, all grassroots ini-
tiatives had ceased, and the soup kitchen concept had
become associated with the public sector. Secondly,
whereas original soup kitchens had provided a means
to achieve food security and secure a minimum level
of nutritional consumption, soup kitchens under
PRONAA became a means of food transfers to key
non-poor groups. Thirdly, the political apparatus of
the Fujimori regime used PRONAA for patronage: key
positions were assigned to political supporters, and
through the ruling party’s own local offi ce, authority
over individual soup-kitchen associations was passed
to party loyalists.
This is not to suggest that all local elites are oppor-
tunists eager to divert antipoverty resources from
their intended benefi ciaries, only that the nature of
power structures can diminish the impact of scaled-up
programs, particularly where signifi cant devolution is
involved.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 29
CONCLUSION
This background paper has argued for an ex-
panded view of scaling up—one that moves be-
yond what might be called a “functional” perspective
that focuses on programmatic and resource issues
towards a perspective that encompasses the politi-
cal and institutional conditions under which poverty-
agendas are set, policies are chosen, and programs
are expanded. Examinations of the determinants of
scaling up social-protection regimes more generally
can potentially provide insights into the scaling-up
processes for antipoverty programs.
The central obstacle, from this perspective, is not
that program designers’ lack knowledge, managerial
skill, or fi scal resources, or that program adjustments
and organizational capacity may not keep pace with
program proliferation, but that the domestic politics
of developing countries can restrict the scale and du-
ration of redistributive programs. The poor may face
high collective action costs, limiting their agenda-set-
ting power. The median voter may not support pro-
grams that transfer wealth to the poor. Politicians face
strong incentives to use redistributive programs for
partisan purposes, limiting the likelihood that these
programs will survive political transitions or changes
of government. And politicians and public officials
may also be prone to create institutional mechanisms
that enable them to target different programs to spe-
cifi c groups, potentially limiting their ability to expand
in coverage and scale. These interactions between the
poor, non-poor, and public offi cials as well as the delib-
erate political calculations involved in the supply and
demand of antipoverty policies often limit the scaling
up of antipoverty programs or render them unsustain-
able. Consequently, successful scaling up will require a
better understanding of the incentives faced by those
responsible for delivering public goods, the prefer-
ences of important constituencies (including the poor
but also groups beyond the poor whose support is
necessary to sustain scaled-up interventions).
Further investigation and analysis of these political
and institutional dimensions of antipoverty programs
and policy can add to a growing body of analysis of
the determinants of poverty and poverty reduction
in poor nations, and can inform both theorists and
practitioners of the feasibility of different categories
of LSAPs, as well as of the effectiveness of different
types of programs in highly diverse contexts.
30 WOLFENSOHN CENTER FOR DEVELOPMENT
An
nex
: L
arg
e S
cale
An
tip
ove
rty
Pro
gra
ms
aro
un
d t
he
Wo
rld
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Foo
d-f
or-
Wo
rkA
fgh
anis
tan
SFW
200
3Fo
od
su
bsid
ies
to fi
ll “
foo
d g
aps”
to
su
p-
po
rt c
on
stru
ctio
n/r
ehab
ilita
tio
n o
f co
m-
mu
nit
y as
sets
.
3,25
6,9
40
peo
ple
; to
tal o
f 78
,974
MT,
24
kg
per
per
son
Low
eff
ecti
ven
ess;
wea
k ta
rget
ing
, p
oo
r co
nn
ecti
on
wit
h li
velih
oo
d r
ecov
-er
y; la
ck o
f at
ten
tio
n t
o e
qu
ity
issu
es
in ir
rig
atio
n r
ehab
ilita
tio
n; i
nsu
ffi c
ien
t q
uan
tity
of
foo
d.
Trab
ajar
Arg
enti
na
PW
199
6-
200
2P
rovi
des
low
-wag
e w
ork
(m
in.6
ho
urs
/d
ay)
for
the
un
emp
loye
d o
n s
mal
l-sc
ale
com
mu
nit
y p
roje
cts
on
rep
airi
ng
an
d
crea
tin
g e
con
om
ic/s
oci
al in
fras
tru
ctu
re.
46
4,10
2 t
emp
ora
ry jo
bs.
Sel
f-se
lect
ion
. US
$20
0 (
199
6-
199
8);
US
$16
0 (
199
9-2
00
2)
80
% r
ecei
ved
by
the
po
ore
st 2
0%
of
fam
ilies
; ave
rag
e g
ain
is h
alf
of t
he
mea
n T
raba
jar
wag
e; n
o s
ign
ifi ca
nt
inco
me
gai
n; l
ow c
ost
eff
ecti
ven
ess;
sh
ort
-ter
m u
nem
plo
ymen
t re
du
ctio
n
on
ly.
Lo
cal p
olit
ical
eco
no
my
ten
ds
to p
rote
ct p
rog
ram
al-
loca
tio
ns
to n
on
-po
or
area
s w
hen
pro
gra
m c
on
trac
ts.
Pro
gra
ma
Nac
ion
al
de
Bec
as
Est
ud
ian
tile
s
Arg
enti
na
CC
T19
96
Tran
sfer
s to
po
or
stu
den
t at
ten
din
g p
ub
-lic
sec
on
dar
y sc
ho
ols
wh
o a
re a
t ri
sk o
f d
rop
pin
g o
ut;
co
nd
itio
nal
on
sch
oo
l at-
ten
dan
ce a
nd
an
nu
al g
rad
e p
rog
ress
ion
.
350
,00
0 p
er y
ear.
You
th 1
3-1
9
in p
ub
lic s
cho
ols
fro
m lo
w
inco
me
fam
ilies
; $6
00
sch
ola
r-sh
ip/y
ear.
Ad
equ
ate
targ
etin
g; s
ign
ifi ca
ntl
y in
-cr
ease
d s
tud
ent
atte
nd
ance
; red
uce
d
gra
de
rep
etit
ion
; im
pro
ved
aca
dem
ic
per
form
ance
; no
sig
nifi
can
t im
pact
on
d
rop
-ou
t p
roba
bili
ty.
Pla
n F
amili
asA
rgen
tin
aC
CT
200
6A
ims
to r
edu
ce in
terg
ener
atio
nal
tra
ns-
mis
sio
n o
f p
over
ty b
y ex
pan
din
g a
nd
co
nso
lidat
ing
a p
rog
ram
of
subs
idie
s fo
r p
oo
r, ch
ildre
n, a
nd
th
ose
see
kin
g f
orm
al
emp
loym
ent.
Co
nd
itio
nal
up
on
co
mp
li-an
ce w
ith
hea
lth
an
d e
du
cati
on
req
uir
e-m
ents
.
45
0,0
00
fam
ilies
. Po
or
fam
i-lie
s w
ith
min
. 2 c
hild
ren
un
der
19
, an
d/o
r d
isab
led
; mu
st n
ot
hav
e co
mp
lete
d s
eco
nd
ary
sch
oo
l. 15
6 p
eso
s p
er f
amily
.
Jef
es d
e H
og
arA
rgen
tin
aP
W20
02
Tem
po
rary
em
plo
ymen
t fo
r u
nem
plo
yed
h
ead
s of
po
or
ho
use
ho
lds;
tra
nsf
ers
con
dit
ion
al o
n la
bo
r su
pp
ly a
nd
sch
oo
l at
ten
dan
ce. A
imed
at
pre
serv
atio
n o
f ed
uca
tio
nal
hu
man
cap
ital
an
d h
ealt
h.
1,3
41,2
58
(20
06
). U
nem
plo
yed
h
ead
s of
ho
use
ho
ld 6
0+
, or
wit
h d
epen
den
t ch
ildre
n o
r d
isab
led
. US
$5
0/m
on
th.
Go
od
cov
erag
e; p
rog
ress
ive
targ
etin
g;
rela
tive
ly h
igh
un
it t
ran
sfer
s; p
rovi
ded
n
eed
ed s
ervi
ces
and
sm
all i
nfra
stru
c-tu
re; r
edu
ced
pov
erty
an
d in
equ
alit
y;
insu
ffi c
ien
t to
pu
ll h
ou
seh
old
s ab
ove
the
pov
erty
lin
e; f
rau
d p
rove
n in
15
,00
0 c
ases
.
Pro
ble
ms
wit
h im
ple
men
ta-
tio
n a
nd
su
per
visi
on
; re-
po
rts
of f
avo
riti
sm. M
inis
try
of E
du
cati
on
imp
rove
d
des
ign
an
d im
ple
men
tati
on
af
ter
eval
uat
ion
.
Pro
gra
ma
Jov
enA
rgen
tin
aP
W19
94
Off
ers
14-2
0 w
eeks
lon
g jo
b t
rain
ing
fo
r yo
un
g m
ales
an
d f
emal
es a
nd
inte
rn-
ship
s in
fi r
ms
to f
acili
tate
lab
or
inse
rtio
n
of t
he
trai
nee
s in
to t
he
form
al la
bo
r m
arke
t.
You
ng
un
emp
loye
d p
eop
le
(16
-24
) fr
om
po
or
ho
use
ho
lds.
Tr
ain
ing
, tra
nsp
ort
atio
n a
nd
lu
nch
su
bsid
y, in
sura
nce
.
Sig
nifi
can
t im
pact
on
ear
nin
gs
for
you
ng
mal
es a
nd
ad
ult
fem
ales
on
ly;
sig
nifi
can
t im
pact
on
em
plo
ymen
t fo
r ad
ult
fem
ales
on
ly; e
ffec
tive
sel
f-ta
r-g
etin
g; h
igh
co
st (
$1,0
00
per
gra
du
-at
e); c
om
plic
ated
co
ntr
ol m
ech
anis
m;
exce
ssiv
e ce
ntr
aliz
atio
n.
Req
uir
es a
n e
nvir
on
men
t w
ith
str
on
g e
con
om
ic
gro
wth
an
d jo
b c
reat
ion
; te
mp
ora
ry in
terv
enti
on
o
nly
; lac
k of
fu
nct
ion
al li
nks
w
ith
loca
l lab
or
auth
ori
ties
.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 31
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Nat
ion
al B
ols
a E
sco
laB
razi
lC
CT
199
5-
200
3C
ash
tra
nsf
ers
to p
oo
r h
ou
seh
old
s w
ith
ch
ildre
n o
f sc
ho
ol a
ge
con
dit
ion
al o
n
sch
oo
l att
end
ance
. Aim
s to
incr
ease
ed
u-
cati
on
al a
ttai
nm
ent,
alle
viat
e sh
ort
-ter
m
pov
erty
, an
d r
edu
ce c
hild
lab
or.
In 2
00
3,
Bo
lsa
Esc
ola
bec
ame
part
of
the
Bo
lsa
Fam
ilia
pro
gra
m.
5,5
45
mu
nic
ipal
itie
s, 8
.2m
ch
ildre
n (
200
2).
Geo
gra
ph
ic
targ
etin
g o
f p
oo
r h
ou
seh
old
s w
ith
ch
ildre
n 7
-14
. R$
15 –
R$
45
(U
S$
6-1
9)
per
fam
ily.
Sch
oo
l att
end
ance
rat
es h
as r
isen
by
0.4
%; n
o s
tro
ng
evi
den
ce o
f re
du
ced
ch
ild la
bo
r; li
ttle
impa
ct o
n p
over
ty
and
ineq
ual
ity
du
e to
th
e sm
all t
ran
s-fe
r am
ou
nt;
tra
nsp
aren
t b
enefi
cia
ry
iden
tifi
cati
on
an
d s
elec
tio
n.
Lo
cal g
over
nan
ce a
nd
p
olit
ics
has
str
on
g e
ffec
t o
n
imp
lem
enta
tio
n.
Var
iati
on
in
th
e ex
iste
nce
an
d e
f-fe
ctiv
enes
s of
so
cial
co
ntr
ol
cou
nci
ls; v
aria
tio
n a
cro
ss
mu
nic
ipal
itie
s in
reg
istr
a-ti
on
pro
cess
es.
Bo
lsa-
Fam
ilia
(fo
rmer
ly B
ols
a E
sco
la)
Bra
zil
CC
T20
03
Cas
h t
ran
sfer
s co
nd
itio
nal
on
sch
oo
l at-
ten
dan
ce a
nd
hea
lth
ch
eck-
ups
; aim
ed a
t in
crea
sin
g h
um
an c
apit
al. C
om
po
nen
ts:
no
n-w
age
inco
mes
, pro
mo
tio
n o
f f
am-
ily a
nd
loca
l co
mm
un
ity,
inst
itu
tio
nal
st
ren
gth
enin
g.
11.2
mil
fam
ilies
(20
06
). V
ery
po
or
ho
use
ho
lds
(1)
and
mo
d-
erat
ely
po
or
wit
h c
hild
ren
(2
).
R$
50
/mo
nth
plu
s R
$15
per
ch
ild (
1); R
$15
per
ch
ild (
2).
Pro
ven
effi
cie
ncy
gai
ns;
eff
ecti
ve
targ
etin
g; c
on
trib
uti
on
to
imp
rove
d
edu
cati
on
ou
tco
mes
; po
siti
ve im
pact
o
n c
hild
ren’
s g
row
th, f
oo
d c
on
sum
p-
tio
n, a
nd
die
t q
ual
ity;
60
% o
f p
oo
r 10
-15
-yea
r o
lds
pre
vio
usl
y n
ot
enro
lled
, en
roll
in s
cho
ol;
0.1%
red
uct
ion
in
pov
erty
.
Wea
knes
ses
in t
he
targ
et-
ing
mec
han
ism
an
d in
th
e m
on
ito
rin
g o
f co
nd
itio
nal
i-ti
es. F
urt
her
mo
re, t
her
e is
th
e is
sue
of m
igra
tio
n f
rom
p
revi
ou
s p
rog
ram
s.
Bo
lsa
Alim
enta
ção
Bra
zil
CC
T20
01
Tran
sfer
s to
ver
y lo
w in
com
e fa
mili
es
wit
h p
reg
nan
t an
d la
ctat
ing
wo
men
, an
d/o
r yo
un
g c
hild
ren
un
der
6 t
o r
edu
ce
infa
nt
mal
nu
trit
ion
an
d m
ort
alit
y an
d
incr
ease
hea
lth
car
e u
sag
e. C
on
dit
ion
al
up
on
hea
lth
car
e u
sag
e.
1.7 m
il fa
mili
es (
200
3).
C
hild
ren
6-1
5 f
rom
po
or
fam
i-lie
s. M
ax. R
$4
5 p
er m
on
th p
er
fam
ily.
Incr
ease
d c
alo
ric
con
sum
pti
on
an
d
die
tary
div
ersi
ty; i
ncr
ease
d m
arg
inal
p
rop
ensi
ty t
o c
on
sum
e fo
od
; no
im
pro
vem
ent
in v
acci
nat
ion
cov
er-
age
(it
was
alr
ead
y 9
8%
); s
mal
l bu
t si
gn
ifi ca
nt
dec
line
in t
he
age-
adju
sted
w
eig
ht
for
child
ren
un
der
24
mo
nth
s.
Ch
ild L
abo
ur
Era
dic
atio
n
Pro
gra
mm
e (P
ET
I)
Bra
zil
CC
T19
96
Tran
sfer
to
ho
use
ho
lds
wit
h c
hild
ren
of
sch
oo
l ag
e w
ork
ing
in h
azar
do
us
or
deg
rad
ing
occ
upa
tio
ns,
an
d f
un
din
g t
o
sch
oo
ls o
ffer
ing
an
ext
end
ed s
cho
ol
day
pro
gra
m. C
on
dit
ion
al o
n s
cho
ol
atte
nd
ance
an
d a
fter
-sch
oo
l pro
gra
m
part
icip
atio
n.
86
6,0
00
ch
ildre
n (
200
2).
G
eog
rap
hic
tar
get
ing
of
po
or
ho
use
ho
lds.
US
$11
-17/
child
per
m
on
th p
lus
sch
oo
l lu
nch
.
Red
uce
d in
cid
ence
of
child
lab
or
fro
m
19.6
% in
19
92
to
12
.7%
in 2
00
1; in
-cr
ease
d s
cho
ol e
nro
lmen
t an
d s
cho
ol-
ing
co
mp
leti
on
; lo
wer
ed p
roba
bili
ty
of c
hild
ren
wo
rkin
g in
ris
ky jo
bs; n
o
chan
ge
in p
roba
bili
ty o
f w
ork
ing
ove
r 10
ho
urs
; lac
k of
un
ifo
rmit
y in
incl
u-
sio
n c
rite
ria,
insu
ffi c
ien
t fo
cus
on
p
oo
rest
mu
nic
ipal
itie
s.
So
me
mu
nic
ipal
itie
s ex
-cl
ud
ed f
rom
th
e p
rog
ram
d
ue
to b
ud
get
co
nst
rain
ts.
Ch
ild la
bo
r is
mo
re d
iffi
cult
to
tar
get
in u
rban
are
as
bec
ause
occ
upa
tio
ns
are
mu
ch m
ore
het
ero
gen
eou
s th
an i
n r
ura
l are
as.
Ben
efi c
io d
e P
rest
açao
C
on
tin
uad
a/
Dis
abili
ty a
nd
E
lder
ly P
ensi
on
Bra
zil
UC
T19
93
Gra
nts
to
eld
erly
65
+ f
rom
ru
ral o
r u
rban
are
as a
nd
to
dis
able
d u
nab
le t
o
wo
rk. A
ims
to r
edu
ce p
over
ty a
nd
vu
l-n
erab
ility
of
po
or
old
er p
eop
le e
xclu
ded
fr
om
so
cial
insu
ran
ce s
chem
e.
2 m
il (2
00
4).
Ind
ivid
ual
s 6
5+
liv
ing
in p
oo
r h
ou
seh
old
s.
US
$5
5 (
200
2)
per
mo
nth
.
Fair
ly w
ell t
arg
eted
on
po
ore
r h
ou
se-
ho
lds;
po
siti
ve e
ffec
t o
n p
over
ty a
nd
vu
lner
abili
ty r
edu
ctio
n a
mo
ng
old
er
peo
ple
exc
lud
ed f
rom
so
cial
insu
ran
ce
and
th
eir
dep
end
ants
.
Fem
ale
Sec
on
dar
y S
tip
end
P
rog
ram
(FS
SP
) an
d F
emal
e S
eco
nd
ary
Sch
oo
l A
ssis
tan
ce
Pro
ject
Ban
gla
des
hC
CT
199
4-
200
1P
ay s
cho
ol a
nd
exa
m f
ees
and
a s
tip
end
to
all
gir
ls in
sec
on
dar
y sc
ho
ol c
on
di-
tio
nal
up
on
sch
oo
l att
end
ance
, exa
m
per
form
ance
an
d o
n t
he
ben
efi c
iary
re
mai
nin
g u
nm
arri
ed. A
ims
to in
crea
se
gir
ls e
nro
llmen
t an
d r
eten
tio
n in
sch
oo
l an
d im
pro
ve q
ual
ity
of e
du
cati
on
.
4 m
il b
enefi
cia
ries
(20
01)
. Fe
mal
e st
ud
ents
en
rolle
d o
ut-
sid
e th
e m
etro
po
litan
are
as.
Mo
nth
ly t
ran
sfer
s of
US
$3
-6;
bo
ok
allo
wan
ce a
nd
exa
m f
ee.
Incr
ease
d g
irls
’ en
rolm
ent
at t
he
sec-
on
dar
y le
vel (
by 2
.5 t
imes
du
rin
g 1
99
1-20
01)
; cre
ated
mo
re p
osi
tive
att
itu
de
tow
ard
s fe
mal
e ed
uca
tio
n; l
ower
ed
dro
p-
ou
t ra
tes
du
e to
mar
riag
e; s
ligh
t re
du
ctio
n in
sch
oo
l per
form
ance
; ca
ses
of o
verw
riti
ng
in s
cho
ol r
egis
-te
rs; i
nfl
ated
mar
ks a
nd
att
end
ance
fi
gu
res.
Co
nce
rns
over
th
e su
s-ta
inab
ility
giv
en e
nd
ing
of
do
no
r su
pp
ort
; gen
der
eq
uit
y is
sues
; co
mm
un
ity
invo
lvem
ent
is e
ssen
tial
fo
r en
han
cin
g p
roje
ct e
ffec
tive
-n
ess.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
32 WOLFENSOHN CENTER FOR DEVELOPMENT
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Pri
mar
y Ed
uca
tio
n
Sti
pen
d P
roje
ct
(PE
SP
)
Ban
gla
des
hC
CT
200
2C
ash
tra
nsf
er t
o p
oo
r fa
mili
es t
o k
eep
ch
ildre
n in
pri
mar
y ed
uca
tio
n, c
on
-d
itio
nal
up
on
sch
oo
l att
end
ance
an
d
per
form
ance
. Aim
s to
incr
ease
pri
mar
y sc
ho
ol e
nro
lmen
t an
d a
tten
dan
ce;
red
uce
th
e d
rop
ou
t ra
te; e
nh
ance
th
e q
ual
ity
of e
du
cati
on
; red
uce
ch
ild la
bo
r.
65
,00
0 s
cho
ols
, 5.5
mil
stu
-d
ents
(20
02
). T
he
po
ore
st
40
% o
f st
ud
ents
en
rolle
d in
p
rim
ary
sch
oo
l in
ru
ral a
reas
. U
S $
1.45
-1.8
per
mo
nth
per
fa
mily
.
Co
rru
pti
on
in t
he
man
agem
ent
and
ad
min
istr
atio
n o
f th
e p
rog
ram
; stu
-d
ents
fro
m p
oo
rer
fam
ily b
ackg
rou
nd
s re
ceiv
e sm
alle
r st
ipen
d t
han
oth
ers;
pa
rtic
ipat
ion
sel
ecti
on
bia
s; a
lter
atio
n
of s
cho
ol r
eco
rds
to m
eet
elig
ibili
ty;
leak
age
issu
es.
Targ
etin
g m
eth
od
olo
gy
is
no
t su
ffi c
ien
tly
wel
l-d
efi n
ed;
pri
mar
y sc
ho
ol a
dm
issi
on
co
sts
are
a ba
rrie
r; w
eak
mo
nit
ori
ng
sys
tem
; exc
es-
sive
am
ou
nt
of p
aper
wo
rk
and
bu
reau
crat
ic d
eliv
ery
mec
han
ism
.
Ch
alle
ng
ing
th
e Fr
on
tier
s of
Pov
erty
R
edu
ctio
n/
Targ
etin
g t
he
Ult
ra P
oo
r (C
FPR
/TU
P)
Ban
gla
des
hA
BP/
S
FW20
02
Bu
ilds
up
th
e as
set
base
of
the
po
or-
est
(mai
nly
wo
men
) th
ou
gh
tra
nsf
er
of in
com
e g
ener
atin
g a
sset
s, h
ealt
h
and
ed
uca
tio
n s
up
po
rt, t
rain
ing
, so
cial
d
evel
op
men
t an
d la
ter
inte
gra
tin
g w
ith
m
icro
cred
it p
rog
ram
s.
25,0
00
(20
05
).G
eog
rap
hic
al
and
ind
icat
or
base
d t
arg
etin
g.
US
$ 4
00
-50
0 p
er h
ou
seh
old
(2
00
5).
Incr
ease
d a
nd
mo
re d
iver
sifi
ed n
utr
i-ti
on
; in
crea
sed
fo
od
sec
uri
ty a
nd
h
ealt
h s
tatu
s; in
crea
sed
inco
me;
h
igh
ly e
ffec
tive
tar
get
ing
; lar
gel
y co
st
effe
ctiv
e; r
edu
ced
sev
ere
mal
no
uri
sh-
men
t am
on
g c
hild
ren
un
der
5.
Hig
h c
ost
per
ho
use
ho
ld
pre
ven
ts p
rog
ram
fro
m
ach
ievi
ng
nat
ion
al c
over
age
in t
he
med
ium
ter
m, d
esp
ite
go
od
tar
get
ing
; co
nti
nu
ed
soci
al e
xclu
sio
n.
Foo
d f
or
Edu
cati
on
(FF
E)
Ban
gla
des
hS
FW19
93
-20
02
Mo
nth
ly g
rain
rat
ion
s to
dis
adva
nta
ged
fa
mili
es c
on
dit
ion
al u
po
n s
cho
ol a
tten
-d
ance
. Des
ign
ed t
o c
om
bat
pov
erty
an
d
mal
nu
trit
ion
by
dev
elo
pin
g lo
ng
-ter
m
hu
man
cap
ital
.
2 m
il fa
mili
es (
200
0).
Po
or
ho
use
ho
lds
wit
h p
rim
ary-
sch
oo
l ag
e ch
ildre
n w
ith
low
lit
erac
y ra
tes.
Fre
e m
on
thly
ra
tio
n o
f fo
od
gra
ins.
Incr
ease
d p
rim
ary
enro
llmen
t an
d a
t-te
nd
ance
rat
es (
enro
llmen
t in
crea
se
gre
ater
fo
r g
irls
); r
edu
ced
dro
po
ut
rate
s; h
igh
leve
ls o
f le
akag
e; h
igh
co
st
(16
-20
%);
so
me
issu
es w
ith
tar
get
-in
g; l
ack
of t
each
ers
as e
nro
llmen
t in
crea
sed
; cla
ss s
ize
had
no
eff
ect
on
st
ud
ent
acad
emic
ach
ieve
men
t.
Incr
ease
d e
nro
llmen
t le
d
to o
verc
row
din
g o
f cl
ass-
roo
ms,
bu
t cl
ass
size
had
no
ef
fect
on
stu
den
t ac
hie
ve-
men
t; is
sues
wit
h d
istr
ibu
-ti
on
th
rou
gh
pri
vate
dea
lers
ra
ther
th
an t
hro
ug
h s
cho
ol
man
agem
ent
com
mit
tees
.
Cas
h f
or
Edu
cati
on
(p
revi
ou
sly
FFE
)
Ban
gla
des
hC
CT
200
2C
ash
tra
nsf
ers
to h
ou
seh
old
s w
ith
ch
ildre
n in
po
or
area
s co
nd
itio
nal
up
on
sc
ho
ol e
nro
llmen
t an
d a
tten
dan
ce. A
ims
to in
crea
se p
rim
ary
sch
oo
l en
rollm
ent
and
att
end
ance
, red
uce
dro
po
ut
rate
s,
and
en
han
ce t
he
qu
alit
y of
ed
uca
tio
n.
2.1
mil
(20
00
). G
eog
rap
hic
an
d c
ateg
ori
cal t
arg
etin
g.
Co
mm
un
ity
sele
ctio
n. M
on
thly
15
-20
kg
of
gra
ins
per
ho
use
-h
old
($
2.4
0 v
alu
e).
Incr
ease
d e
nro
llmen
t ra
te b
y 9
-17%
; n
earl
y fu
ll at
ten
dan
ce a
mo
ng
ben
efi -
ciar
ies;
imp
rove
d lo
ng
-ter
m o
pp
ort
u-
nit
ies
for
child
ren
; red
uce
d in
cid
ence
of
ch
ild la
bo
r am
on
g b
oys
(gir
ls)
by
1/4
(1/
8);
40
% o
f b
enefi
cia
ries
are
n
on
-po
or;
life
tim
e ea
rnin
g e
stim
ated
to
incr
ease
by
up
to
25
%.
Lim
ited
rea
ch t
o t
he
ex-
trem
e p
oo
r; d
ue
to s
mal
l si
ze o
f tr
ansf
er r
elat
ive
to
tota
l exp
end
itu
re (
4%
) an
d
limit
ed c
over
age,
th
e p
ro-
gra
m a
lon
e w
ill n
ot
sig
nifi
-ca
ntl
y re
du
ce p
over
ty.
Vu
lner
able
G
rou
p F
eed
ing
(V
uln
erab
le
Gro
up
D
evel
op
men
t (V
GD
) si
nce
19
87)
Ban
gla
des
hS
FW19
75-
198
7Fo
od
sec
uri
ty in
terv
enti
on
th
at p
ro-
vid
es in
-kin
d w
hea
t tr
ansf
er t
o e
n-
able
des
titu
te r
ura
l wo
men
to
imp
rove
th
eir
eco
no
mic
an
d s
oci
al c
on
dit
ion
. A
cco
mpa
nie
d b
y h
ealt
h a
nd
nu
trit
ion
ed
uca
tio
n, l
iter
acy
trai
nin
g, s
avin
gs,
an
d
sup
po
rt in
lau
nch
ing
inco
me-
earn
ing
ac
tivi
ties
.
575
,00
0 h
ou
seh
old
s.
Geo
gra
ph
ic t
arg
etin
g, t
hen
b
enefi
cia
ry s
elec
tio
n b
y lo
cal
com
mit
tees
. Fre
e m
on
thly
w
hea
t ra
tio
n o
f 31
.25
kg
fo
r tw
o y
ears
.
Sig
nifi
can
tly
incr
ease
d w
hea
t co
n-
sum
pti
on
– b
y 70
% f
or
VG
D h
ou
se-
ho
lds
com
pare
d t
o 1
3.9
% f
or
its
cash
-bas
ed e
qu
ival
ent
tran
sfer
s, g
en-
erat
ing
a g
reat
er c
alo
rie
impa
ct o
n it
s ta
rget
gro
up
(16
%)
than
an
eq
uiv
alen
t ca
sh a
lloca
tio
n (
10%
); n
o n
oti
ceab
le
imp
rove
men
t in
nu
trit
ion
al s
tatu
s of
p
re-s
cho
ol c
hild
ren
.
Ap
pro
xim
atel
y 30
% t
o 5
0%
of
gra
in is
so
ld r
ath
er t
han
co
nsu
med
; 15
% o
f g
rain
did
n
ot
reac
h in
ten
ded
ben
efi -
ciar
ies.
Hig
h c
ost
of
ben
efi t
d
eliv
ery.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 33
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Inco
me
Gen
erat
ion
fo
r V
uln
erab
le
Gro
up
D
evel
op
men
t P
rog
ram
(I
GV
GD
)
Ban
gla
des
hS
FW19
87
An
inte
gra
ted
pac
kag
e of
fo
od
dis
trib
u-
tio
n, s
avin
gs,
mic
ro-c
red
it p
rovi
sio
n,
soci
al a
war
enes
s-b
uild
ing
an
d s
kill
de-
velo
pm
ent
trai
nin
g a
nd
hea
lth
car
e in
ter-
ven
tio
ns;
see
ks t
o e
xten
d t
he
ou
trea
ch
of p
over
ty-r
edu
ctio
n in
itia
tive
s to
th
e “e
xtre
mel
y p
oo
r”.
200
,00
0 in
20
00
. Th
e p
oo
rest
an
d m
ost
vu
lner
able
hea
ds
of h
ou
seh
old
s. In
itia
l lo
ans
of
US
$5
0 t
o fi
nan
ce in
com
e-g
en-
erat
ion
act
ivit
ies.
Su
cces
sfu
l an
d e
ffec
tive
in t
arg
etin
g
the
ult
ra-p
oo
r; r
each
ed 1
.6 m
il d
es-
titu
te w
om
en s
ince
ince
pti
on
, 2/3
of
thes
e pa
rtic
ipan
ts “
gra
du
ated
” fr
om
ab
solu
te p
over
ty; i
ncr
ease
d in
com
es
and
mat
eria
l ass
ets
and
dec
reas
ed
beg
gin
g; i
ncr
ease
d q
ual
ity
of li
fe a
nd
h
igh
er le
vels
of
con
fi d
ence
an
d w
ell-
bei
ng
.
Sca
ling
up
th
e p
rog
ram
wit
h
po
or
infr
astr
uct
ure
an
d
wea
k co
mm
un
icat
ion
sys
-te
m p
rove
d t
o b
e d
iffi
cult
.
Ru
ral
Mai
nte
nan
ce
Pro
gra
mm
e (R
MP
)
Ban
gla
des
hP
W19
83
Aim
ed t
o e
stab
lish
a s
yste
m t
hro
ug
ho
ut
rura
l Ban
gla
des
h w
her
eby
farm
-to
-mar
-ke
t ro
ads
rece
ive
year
-ro
un
d, r
ou
tin
e m
ain
ten
ance
, an
d t
o p
rovi
de
stab
le
emp
loym
ent
and
inco
me
to t
he
mo
st
dis
adva
nta
ged
an
d h
ard
-to
-rea
ch g
rou
p,
des
titu
te w
om
en.
90
% o
f ru
ral d
istr
icts
.10,0
00
p
er y
ear.
Des
titu
te w
om
en,
wh
o a
re s
ole
su
pp
ort
ers
of
dep
end
ents
an
d t
hem
selv
es.
Tk.
43
wag
e p
er d
ay.
Ver
y lo
w le
akag
e ra
te; i
mp
ort
ant
lon
g-
term
eco
no
mic
an
d s
oci
al d
evel
op
-m
enta
l im
pact
; in
tro
du
ctio
n o
f ba
nk
acco
un
ts f
or
po
or
wo
men
fac
ilita
ted
sa
vin
gs
beh
avio
r (
req
uir
es s
avin
gs
of
1/4
of
the
wag
e); p
rovi
ded
acc
ess
to
form
al fi
nan
cial
inst
itu
tio
ns;
60
% r
e-m
ain
mem
ber
s of
NG
Os
3 y
ears
aft
er
gra
du
atio
n.
Ru
ral
Dev
elo
pm
ent
Pro
gra
m (
RD
P),
p
revi
ou
sly
know
n a
s Fo
od
-fo
r-W
ork
Ban
gla
des
hS
FW19
75In
itia
ted
in 1
975
aft
er f
amin
e; n
ow a
n
inte
gra
ted
ru
ral d
evel
op
men
t p
rog
ram
. P
rovi
des
wag
es in
-kin
d (
usu
ally
wh
eat)
to
ru
ral l
abo
rers
fo
r p
ub
lic w
ork
s (w
ater
, ro
ads,
fo
rest
ry, fi
sh
ery)
du
rin
g t
he
dry
se
aso
n. A
imed
at
foo
d in
secu
rity
red
uc-
tio
n.
4 m
il p
er y
ear.
Geo
gra
ph
ic a
nd
se
lf-t
arg
etin
g o
f lo
w-i
nco
me
ben
efi c
iari
es, m
ost
ly m
en.
US
$4
.5 p
er p
erso
n.
Su
cces
sfu
l in
rea
chin
g la
nd
less
or
nea
r la
nd
less
po
or;
30
-35
% le
ak-
age
rate
s to
th
e n
on
-po
or;
hig
h
cost
s -
US
$2
.1 to
tra
nsf
er U
S$
1; 8
5%
of
pro
gra
m r
eso
urc
es u
sed
du
rin
g
Dec
emb
er-M
ay d
ry s
easo
n; l
arg
e in
-cr
ease
in f
oo
d c
on
sum
pti
on
an
d c
alo
-ri
e in
take
; im
pro
vem
ents
in h
ou
seh
old
n
utr
itio
n, b
ut
no
sig
nifi
can
t im
pro
ve-
men
t in
nu
trit
ion
al s
tatu
s of
pre
sch
oo
l ch
ildre
n.
Old
Ag
e A
llow
ance
S
chem
e an
d
Ass
ista
nce
P
rog
ram
fo
r W
idow
ed a
nd
D
esti
tute
W
om
en
Ban
gla
des
hU
CT
199
7C
ash
tra
nsf
er t
o p
oo
rest
old
er p
eop
le
and
to
des
titu
te w
idow
s to
red
uce
pov
-er
ty a
nd
des
titu
tio
n a
mo
ng
th
em.
0.7
mil.
Ext
rem
ely
po
or
and
d
esti
tute
. Mo
nth
ly U
S$
2 t
o 1
5
old
est
and
po
ore
st m
emb
ers
of e
ach
war
d o
f th
e u
nio
n.
Pro
gra
ms
hav
e b
een
wel
l rec
eive
d
by lo
cal c
om
mu
nit
ies
and
th
ey a
re
reas
on
ably
wel
l tar
get
ed; i
nsu
ffi c
ien
t to
cov
er a
ll th
e p
oo
r g
rou
ps t
arg
eted
; al
low
ance
to
o s
mal
l to
pu
ll b
enefi
cia
-ri
es a
bov
e th
e p
over
ty li
ne.
No
eva
luat
ion
of
the
pro
-g
ram
is a
vaila
ble
.H
elp
Ag
e In
tern
atio
nal
is
gat
her
ing
info
rmat
ion
fro
m
loca
l net
wo
rks
to a
sses
s p
rog
ram
imp
lem
enta
tio
n.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
34 WOLFENSOHN CENTER FOR DEVELOPMENT
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
BO
NO
SO
L
(Bo
no
S
olid
ario
)
Bo
livia
UC
T19
97-
199
8,
200
1
Un
iver
sal c
oh
ort
res
tric
ted
no
n-c
on
trib
u-
tory
pen
sio
n t
o e
lder
ly p
eop
le w
ho
are
o
uts
ide
the
form
al p
ensi
on
sys
tem
. Aim
s to
dis
trib
ute
th
e p
rofi
ts o
f th
e p
riva
tiza
-ti
on
pro
gra
m a
nd
to
red
uce
pov
erty
.
Un
iver
sal.
Cat
ego
rica
l tar
get
-in
g o
f el
der
ly 6
5+
. US
$24
8 p
er
per
son
per
yea
r.
Sig
nifi
can
t ef
fect
s o
n p
over
ty a
nd
liv
elih
oo
ds
in r
ura
l are
as, t
hro
ug
h
lifti
ng
cre
dit
an
d li
qu
idit
y co
nst
rain
ts;
sig
nifi
can
tly
incr
ease
d f
oo
d c
on
sum
p-
tio
n r
elat
ive
to t
ran
sfer
siz
e (9
.6%
p
er m
on
th)
in r
ura
l ho
use
ho
lds;
sm
all
incr
ease
s of
exp
end
itu
res
on
med
ical
se
rvic
es.
Po
litic
ized
des
ign
an
d
imp
lem
enta
tio
n; t
he
fun
d
mig
ht
run
ou
t of
fu
nd
ing
ea
rlie
r th
an e
xpec
ted
giv
en
curr
ent
rate
of
tran
sfer
am
ou
nt;
mig
ht
no
t b
e th
e m
ost
effi
cie
nt
use
of
fun
ds
giv
en la
rge
inco
me
dis
pari
ty.
Pri
ori
ty A
ctio
n
Pro
gra
m (
PA
P)
Cam
bo
dia
SFW
200
0P
arti
ally
co
mp
ensa
tes
sch
oo
ls f
or
the
rem
oval
of
reg
istr
atio
n, m
ater
ials
, an
d
test
fee
s, e
spec
ially
at
the
pri
mar
y le
vel.
Th
ere
are
12 P
AP
s in
to
tal.
Aim
s to
re
du
ce t
he
cost
bu
rden
on
th
e p
oo
rest
fa
mili
es a
nd
to
incr
ease
sch
oo
l en
roll-
men
t.
Nat
ionw
ide
cove
rag
e of
24
p
rovi
nce
s an
d 1
83
dis
tric
ts.
Imp
rove
d p
rim
ary
net
en
rolm
ent
rate
s; e
ffec
tive
nes
s h
as b
een
red
uce
d
by p
aym
ent
del
ays
fro
m t
he
pro
vin
-ci
al t
reas
ury
; sch
oo
ls r
epo
rt a
lack
of
fl ex
ibili
ty in
usi
ng
fu
nd
s to
ad
dre
ss
loca
l nee
ds;
stu
den
ts r
ecei
ved
20
-25
% m
ore
inst
ruct
ion
du
rin
g a
sch
oo
l ye
ar; r
edu
ced
dir
ect
ho
use
ho
ld c
ost
s;
imp
rove
d a
vaila
bili
ty o
f cl
assr
oo
m
mat
eria
ls.
Nee
d t
o e
stab
lish
ing
a
mo
re e
ffi c
ien
t d
isb
urs
e-m
ent
syst
em f
rom
nat
ion
al
to p
rovi
nci
al/d
istr
ict
leve
ls,
imp
rove
pre
dic
tab
ility
an
d
relia
bili
ty o
f ca
sh r
elea
ses,
an
d s
tren
gth
en fi
nan
cial
ac-
cou
nti
ng
an
d in
tern
al a
ud
it.
Fam
ilias
en
Acc
ión
(F
amili
es in
A
ctio
n)
Co
lom
bia
CC
T20
00
Cas
h t
ran
sfer
to
po
or
ho
use
ho
lds
wit
h
child
ren
co
nd
itio
nal
on
sch
oo
l att
en-
dan
ce a
nd
use
of
pri
mar
y h
ealt
h c
ente
rs.
Aim
s to
red
uce
pov
erty
; rai
se s
cho
ol
enro
lmen
ts; a
nd
pro
vid
e a
safe
ty n
et.
Par
t of
th
e R
ed d
e A
poy
o S
oci
al (
So
cial
S
up
po
rt N
etw
ork
, RA
S).
9 m
il fa
mili
es (
200
5).
G
eog
rap
hic
an
d p
roxy
-mea
ns
targ
etin
g o
f p
oo
r h
ou
seh
old
s w
ith
ch
ildre
n.
Ed
uca
tio
n: p
ri-
mar
y sc
ho
ol U
S$
6, s
eco
nd
ary
- U
S$
12 p
er c
hild
per
mo
nth
; H
ealt
h: U
S$
20 p
er f
amily
per
m
on
th.
Red
uce
d n
utr
itio
nal
, hea
lth
an
d
edu
cati
on
al r
isks
; go
od
tar
get
ing
; co
n-
sum
pti
on
incr
ease
d b
y 15
%; c
hro
nic
m
aln
utr
itio
n o
f ch
ildre
n 0
-2 d
rop
ped
by
10
% in
ru
ral a
reas
; gro
wth
an
d
dev
elo
pm
ent
chec
k-u
ps a
tten
dan
ce b
y ch
ildre
n in
crea
sed
fro
m 4
2%
to
54
%;
rais
ed in
cid
ence
of
imm
un
izat
ion
s;
sig
nifi
can
tly
red
uce
d c
hild
lab
or
in r
u-
ral a
reas
; rai
sed
sch
oo
l att
end
ance
by
13%
in u
rban
an
d 5
% in
ru
ral a
reas
.
Req
uir
emen
t fo
rcin
g h
ou
se-
ho
lds
to c
ho
ose
bet
wee
n
rece
ivin
g t
he
nu
trit
ion
su
b-
sid
y an
d s
end
ing
ch
ildre
n t
o
day
car
e ce
nte
rs s
ho
uld
be
re-e
xam
ined
sin
ce t
hey
are
n
ot
dir
ect
subs
titu
tes.
Th
e E
mp
leo
en
Acc
ión
(E
mer
gen
cy
Em
plo
ymen
t P
rog
ram
) -
part
of
RA
S
Co
lom
bia
PW
200
0P
rovi
des
tem
po
rary
em
plo
ymen
t to
p
oo
r, u
nem
plo
yed
, low
-ski
lled
wo
rker
s by
em
plo
yin
g t
hem
in la
bo
r-in
ten
sive
so
-ci
al a
nd
eco
no
mic
inve
stm
ent
pro
ject
s.
Aim
ed a
t in
crea
sin
g t
emp
ora
ry e
mp
loy-
men
t an
d in
com
es o
f th
e p
oo
r an
d c
re-
atio
n o
f in
fras
tru
ctu
re. P
art
of t
he
Red
d
e A
poy
o S
oci
al (
So
cial
Saf
ety
Net
).
67,
00
0 w
ork
ers
(20
03
).
Un
emp
loye
d a
du
lts
no
t pa
rtic
i-pa
tin
g in
trai
nin
g p
rog
ram
s, f
rom
th
e p
oo
rest
20
% o
f th
e p
op
ula
-ti
on
. $U
S 8
4.6
6 (
200
0).
Wel
l des
ign
ed t
o r
each
po
or
area
s an
d in
ten
ded
ben
efi c
iari
es; i
nef
fec-
tive
sel
f-ta
rget
ing
du
e to
th
e le
gal
o
blig
atio
n t
o p
ay m
inim
um
wag
es;
39%
inco
me
incr
ease
fo
r pa
rtic
ipan
ts
and
36
% in
crea
se in
th
eir
lab
or
sup
-p
ly, b
ut
part
icip
atio
n d
id n
ot
dis
-p
lace
oth
er p
rod
uct
ive
acti
viti
es; 9
%
incr
ease
in h
ou
seh
old
co
nsu
mp
tio
n;
no
mea
sura
ble
hea
lth
or
edu
cati
on
ef
fect
s.
Su
bseq
uen
t ch
ang
es in
ev
alu
atio
n m
eth
od
olo
gy
an
d u
nfo
rese
en b
ud
get
ary
chan
ges
; no
n-p
rio
rity
pro
j-ec
ts r
ecei
ved
mo
re f
un
din
g;
lon
ger
ave
rag
e p
roje
ct
cycl
es; s
ho
rter
du
rati
on
of
jobs
; gre
ater
nu
mb
er o
f b
enefi
cia
ries
per
pro
ject
.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 35
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Jov
enes
en
A
cció
n (
Jo
b
trai
nin
g
pro
gra
m)
- pa
rt
of R
AS
Co
lom
bia
PW
200
1A
tra
inin
g/a
pp
ren
tice
ship
pro
gra
m f
or
you
ng
ad
ult
s ba
sed
on
co
mp
etit
ive
bid
-d
ing
am
on
g p
riva
te fi
rm
s an
d p
ub
lic
enti
ties
. In
clu
des
cla
ss b
ased
tra
inin
g (
3
mo
nth
s), a
nd
an
ap
pre
nti
cesh
ip w
ith
par
-ti
cipa
tin
g fi
rm
s (3
mo
nth
s). P
art
of R
ed
de
Ap
oyo
So
cial
pro
gra
m.
35,0
00
(20
02
). C
entr
al s
elec
-ti
on
of
you
th 1
8-2
5 f
rom
po
or
fam
ilies
. Tra
inin
g p
acka
ge,
tr
ansp
ort
atio
n a
nd
sn
ack
sub
-si
dy,
co
llect
ive
insu
ran
ce.
Ad
equ
ate
self
tar
get
ing
; pro
gra
m
capa
ble
to
be
imp
lem
ente
d c
ou
nte
r-cy
clic
ally
pro
tect
ing
min
imu
m c
on
-su
mp
tio
n le
vels
du
rin
g a
tim
e of
cri
sis;
p
rese
nts
a s
oci
al a
ssis
tan
ce a
lter
na-
tive
to
th
e N
atio
nal
Tra
inin
g S
ervi
ce,
SE
NA
tra
inin
g in
stit
ute
th
at d
oes
no
t h
ave
a so
cial
ass
ista
nce
man
dat
e.
Pro
gra
m is
op
erat
ing
in
para
llel t
o N
atio
nal
Tra
inin
g
Ser
vice
inst
itu
te, w
hic
h
nee
ds
to b
e ad
dre
ssed
if t
he
you
th t
rain
ing
pro
gra
m is
co
nti
nu
ed.
Pro
gra
ma
de
Am
plia
ció
n d
e C
ob
ertu
ra d
e la
Ed
uca
ció
n
Sec
un
dar
ia
(PA
CE
S)
Co
lom
bia
SFW
199
2-19
97
Sec
on
dar
y ed
uca
tio
n v
ou
cher
s su
bsid
iz-
ing
sch
oo
l fee
s fo
r ch
ildre
n f
rom
low
-in
com
e h
ou
seh
old
s u
sed
to
cov
er t
he
cost
s of
pri
vate
sch
oo
ling
in t
he
6th
an
d
hig
her
gra
des
. Aim
ed a
t ra
isin
g s
cho
ol
enro
lmen
ts a
mo
ng
low
inco
me
gro
ups
in
pri
vate
sch
oo
ls.
Tota
l of
125
,00
0 v
ou
cher
s.
Geo
gra
ph
ical
tar
get
ing
of
stu
den
ts a
bo
ut
to e
nte
r se
c-o
nd
ary
sch
oo
l; fi
nal
sel
ecti
on
th
rou
gh
lott
ery.
$19
0 v
ou
cher
p
er w
inn
er.
Win
ner
s sh
owed
0.8
ad
dit
ion
al y
ears
of
sch
oo
ling
co
mpa
red
to
no
n-l
ot-
tery
win
ner
s an
d t
hei
r p
roba
bili
ty o
f re
pea
tin
g a
gra
de
was
5-6
% lo
wer
; w
inn
ers
show
ed h
igh
er m
ath
emat
ical
, re
adin
g a
nd
wri
tin
g t
est
sco
res;
th
ey
had
sig
nifi
can
tly
low
er r
ates
of
earl
y m
arri
age;
incr
ease
d h
ou
seh
old
exp
en-
dit
ure
on
ed
uca
tio
n.
Th
e p
oo
rest
stu
den
ts w
ere
ofte
n e
xclu
ded
fro
m p
ar-
tici
pati
on
as
mu
nic
ipal
itie
s b
ette
r se
rved
by
pri
vate
sc
ho
ols
wer
e m
ore
like
ly t
o
part
icip
ate
in t
he
pro
gra
m
Su
bsid
ized
h
ealt
hin
sura
nce
p
rog
ram
(S
UB
S)
Rég
imen
S
ubs
idia
do
Co
lom
bia
SFW
199
3S
ubs
idy
inte
nd
ed f
or
low
-in
com
e fa
mili
es
un
able
to
pay
into
th
e co
ntr
ibu
tory
re-
gim
e. M
un
icip
alit
ies
sele
ct b
enefi
cia
ries
an
d c
on
trac
t p
riva
te h
ealt
h in
sura
nce
co
mpa
nie
s to
pro
vid
e a
det
erm
ined
h
ealt
h p
acka
ge
cove
rin
g p
rim
ary
and
ba
sic
ho
spit
al c
are
and
insu
ran
ce f
or
se-
lect
ed c
atas
tro
ph
ic il
lnes
s fo
r th
e fa
mily
.
18 m
il (2
00
5).
Pre
gn
ant
wo
men
, ru
ral r
esid
ents
. Pro
xy-
mea
ns
test
ing
. A s
ubs
idy
of
US
$6
7 p
er y
ear
per
fam
ily.
Incr
ease
d m
edic
al c
are
uti
lizat
ion
am
on
g t
he
po
or
and
un
insu
red
; do
es
no
t st
imu
late
inef
fi ci
ent
use
of
hea
lth
ca
re s
ervi
ces;
ho
use
ho
lds
face
sm
alle
r fi
nan
cial
bu
rden
in t
erm
s of
low
er
exp
end
itu
res
for
med
ical
co
nsu
lta-
tio
ns
and
med
icin
e; in
effi
cien
t ta
rget
-in
g m
ech
anis
m; l
ow t
ake-
up
rat
es b
y th
e p
oo
r an
d in
clu
sio
n o
f w
ealt
hie
r h
ou
seh
old
s.
Req
uir
ed c
oo
rdin
atio
n
of a
ll th
ree
gov
ern
men
t le
vels
lead
s to
gre
ater
in-
stit
uti
on
al c
om
ple
xity
an
d
del
ays,
esp
ecia
lly w
ith
th
e tr
ansf
er o
f fu
nd
s; f
urt
her
ex
pan
sio
n h
amp
ered
by
dif
-fi
cult
ies
in r
estr
uct
uri
ng
of
pu
blic
ho
spit
als.
Foo
d S
ecu
rity
P
roje
ct in
N
ort
her
n G
uér
a (P
SA
NG
)
Ch
adS
FW19
91-
200
0L
oan
s an
d c
ash
tra
nsf
ers
for
imp
rov-
ing
fo
od
acc
essi
bili
ty a
nd
sta
bili
ty f
or
vuln
erab
le in
div
idu
als
and
ho
use
ho
lds,
in
a p
ost
-co
nfl
ict
con
text
. Inv
olv
es t
he
set-
tin
g u
p o
f fo
od
sec
uri
ty f
un
ds
and
ru
ral
infr
astr
uct
ure
; mic
rofi
nan
ce s
ervi
ces;
an
d c
reat
ion
of
a fo
od
sec
uri
ty a
sso
cia-
tio
n m
ade
up
of
rep
rese
nta
tive
s of
vil-
lag
e g
rou
ps a
nd
NG
Os.
15 0
00
ho
use
ho
lds
du
rin
g 2
nd
p
has
e. V
uln
erab
le a
nd
dis
ad-
van
tag
ed h
ou
seh
old
s, f
arm
ers
(esp
ecia
lly f
emal
e), l
ives
tock
b
reed
ers
and
no
mad
s.
Rea
ched
so
cial
ly a
nd
eco
no
mic
ally
m
arg
inal
ized
gro
ups
in t
he
No
rth
ern
G
uér
a R
egio
n; i
mp
rove
d f
oo
d s
e-cu
rity
fu
nd
s an
d r
ura
l inf
rast
ruc-
ture
; bo
tto
m-u
p a
pp
roac
h, a
imed
at
inco
rpo
rati
ng
lo
cal k
now
-how
an
d
tech
no
log
ies,
th
at s
ou
gh
t th
e d
irec
t in
volv
emen
t of
new
par
tner
s su
ch a
s N
GO
s, w
ork
ed w
ell.
Th
e “g
rou
p a
pp
roac
h” f
or
the
esta
blis
hm
ent
of IG
As
was
no
t th
e m
ost
su
it-
able
, esp
ecia
lly f
or
you
ng
w
om
en, g
iven
th
eir
tim
e co
nst
rain
ts.
Pro
gra
mas
d
e E
mp
leo
D
irec
to (
Dir
ect
Em
plo
ymen
t P
rog
ram
s)
Ch
ileP
W20
01
Ob
ject
ives
incl
ud
e te
mp
ora
ry e
mp
loy-
men
t an
d in
fras
tru
ctu
re c
reat
ion
an
d
imp
rove
men
t of
qu
alit
y of
life
am
on
g t
he
com
mu
nit
y.
Un
emp
loye
d w
ork
ers
reg
is-
tere
d a
t m
un
icip
al e
mp
loy-
men
t in
form
atio
n o
ffi c
es.
Go
od
tar
get
ing
- 75
% o
f jo
bs c
reat
ed
by t
he
pro
gra
m w
ere
take
n b
y u
nem
-p
loye
d.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
36 WOLFENSOHN CENTER FOR DEVELOPMENT
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Su
bsid
io
Un
itar
io
Fam
iliar
(U
nit
ary
Fam
ily
Su
bsid
y)
Ch
ileC
CT
199
8E
stab
lish
ed in
19
81
to s
erve
as
a fa
mily
su
bsid
y fo
r m
oth
ers
in e
ligib
le f
amili
es
wit
h s
cho
ol-
age
child
ren
, or
wh
o w
ere
pre
gn
ant,
or
wer
e ca
rin
g f
or
dis
able
d.
Th
e ed
uca
tio
n s
ubs
idy
cove
rs c
hild
ren
u
p t
o a
ge
18. A
sep
arat
e su
bsid
y is
in
pla
ce f
or
the
new
ly b
orn
, fo
r p
reg
nan
t w
om
en w
ith
CA
S c
ard
s, a
nd
fo
r in
valid
s.
5.5
6 m
il (1
99
9).
Nat
ion
-wid
e co
vera
ge,
par
tici
pati
on
is
volu
nta
ry. I
n t
he
subs
idy
to
po
or
fam
ilies
,$6
0 p
er y
ear
per
p
reg
nan
t w
om
an. I
n f
amili
es
wit
h C
AS
car
ds,
$6
per
mo
nth
p
er c
hild
.
Go
od
tar
get
ing
per
form
ance
- 9
0%
of
ben
efi t
s g
o t
o t
he
bo
tto
m 4
0%
of
the
po
pu
lati
on
; su
bsid
ies
incr
ease
d t
he
inco
me
of t
he
po
ore
st 2
0%
by
84
%
and
red
uce
d t
he
rati
o o
f th
e in
com
e of
th
e to
p t
o t
he
bo
tto
m q
uin
tile
fro
m
15.5
tim
es t
o o
nly
8.5
tim
es.
Ch
ile S
olid
ario
Ch
ileC
CT
200
2B
rin
gs
inte
gra
l so
cial
ser
vice
s to
fam
i-lie
s in
ext
rem
e p
over
ty (
psyc
ho
-so
cial
su
pp
ort
, cas
h s
ubs
idie
s, a
cces
s to
ski
ll d
evel
op
men
t, w
ork
an
d s
oci
al s
ecu
rity
p
rog
ram
s). M
ust
mee
t 5
3 m
inim
um
co
n-
dit
ion
s se
en a
s n
eces
sary
to
ove
rco
me
extr
eme
pov
erty
.
165
,00
0 p
oo
r fa
mili
es w
ith
sc
ho
ol a
ge
child
ren
, in
ru
ral
and
urb
an a
reas
. So
cial
su
p-
po
rt, s
olid
arit
y su
pp
ort
, mo
n-
etar
y su
bsid
y.
Go
od
ver
tica
l effi
cie
ncy
an
d c
over
age;
17
.5%
of
targ
ets
had
bee
n a
chie
ved
an
d 1
.7%
of
ho
use
ho
lds
had
ove
rco
me
extr
eme
pov
erty
by
200
2; s
mal
l pro
g-
ress
in t
erm
s of
a s
ucc
essf
ul e
xit
rate
; h
igh
co
mp
lian
ce w
ith
th
e m
inim
um
co
nd
itio
ns.
Pro
ble
ms
wit
h im
ple
men
ta-
tio
n; e
xclu
sio
n o
f el
igib
le
fam
ilies
; so
cial
wo
rk t
ech
-n
iqu
es t
hat
may
no
t b
e ap
pro
pri
ate
for
bo
th u
rban
an
d r
ura
l set
tin
gs.
Ch
ile J
oven
, P
rog
ram
a d
e C
apac
itac
ión
N
acio
nal
de
Jó
ven
es
Ch
ileP
W19
91
Trai
nin
g p
rog
ram
fo
r lo
w-i
nco
me
un
em-
plo
yed
yo
uth
th
at c
om
bin
es a
sch
ol-
arsh
ip f
or
clas
sro
om
tra
inin
g w
ith
a
3-m
on
th p
aid
ap
pre
nti
cesh
ip in
a p
riva
te
fi rm
.
164
,45
6 (
199
1-20
01)
. Low
-in
-co
me
un
emp
loye
d y
ou
th 1
6-2
4.
Free
co
urs
es, t
ran
spo
rtat
ion
/ lu
nch
su
bsid
y, in
sura
nce
, to
ols
.
Pro
bab
ility
of
emp
loym
ent
incr
ease
d
by 8
-13%
; 50
% f
ou
nd
jobs
aft
er t
he
pro
ject
; hig
hly
co
nce
ntr
ated
tar
get
ing
w
ith
70
% o
f pa
rtic
ipan
ts in
18
-24
ag
e g
rou
p, 6
3% f
rom
low
-in
com
e h
ou
se-
ho
lds,
40
% w
ith
co
mp
lete
sec
on
dar
y ed
uca
tio
n.
Do
es n
ot
hav
e an
exp
licit
g
end
er f
ocu
s; 3
7% o
f th
e pa
rtic
ipan
ts d
id n
ot
bel
on
g
to lo
w-i
nco
me
fam
ilies
, 49
%
hav
e co
mp
lete
d h
igh
sch
oo
l.
Pro
gra
ma
de
Pen
sio
nes
A
sist
enci
ales
Ch
ileU
CT
1975
A n
on
-co
ntr
ibu
tory
pen
sio
n p
rog
ram
su
pp
ort
ing
old
or
dis
able
d in
div
idu
als
wit
ho
ut
oth
er s
ou
rces
of
inco
me.
Th
e g
oal
is t
o r
edu
ce p
over
ty a
nd
vu
lner
abil-
ity
amo
ng
old
an
d d
isab
led
po
or.
358
,813
(20
00
). C
ateg
ori
cal
targ
etin
g o
f p
oo
r in
div
idu
als
65
+, o
r d
isab
led
ag
ed 1
8+
. U
S$
60
per
mo
nth
per
ben
efi -
ciar
y.
Sig
nifi
can
t im
pact
on
pov
erty
red
uc-
tio
n; s
ub
trac
tin
g p
ensi
on
inco
me
fro
m
ho
use
ho
ld in
com
e an
d r
ecal
cula
tin
g
pov
erty
inci
den
ce w
ou
ld r
aise
ext
rem
e p
over
ty (
ind
igen
ce)
by 7
.5%
fro
m a
ba
se o
f 12
.8%
, an
d p
over
ty b
y 2
.5%
fr
om
25
% b
ase.
Rat
ion
ing
of
entr
y in
to
the
pro
gra
m b
ased
on
a
bu
dg
etar
y ca
p r
edu
ces
the
insu
ran
ce p
rop
erti
es o
f th
e p
ensi
on
pro
gra
m.
Min
imu
m
Liv
ing
Su
bsid
y S
chem
e
Ch
ina
UC
T19
93
Pay
s th
e d
iffe
ren
ce b
etw
een
th
e m
on
thly
in
com
e of
po
or
ho
use
ho
lds
and
a m
ini-
mu
m le
vel s
et a
t th
e ci
ty le
vel.
Aim
ed
at a
ssis
tin
g p
oo
r h
ou
seh
old
s in
urb
an
Ch
ina,
esp
ecia
lly in
th
e co
nte
xt o
f st
ruc-
tura
l ad
just
men
t. S
cale
d u
p t
o c
over
all
citi
es in
20
00
.
2.4
4%
cov
erag
e in
20
01
and
4
.05
% in
20
04
. Mea
ns
test
ta
rget
ing
. Ben
efi t
s va
ry b
y b
enefi
t li
ne
(pov
erty
lin
e) a
nd
by
dep
th o
f p
over
ty.
Th
e ra
tio
of
ben
efi t
rec
ipie
nts
to
th
e n
um
ber
s es
tim
ated
to
be
po
or
ran
ges
fr
om
4.9
% in
Sh
and
on
g t
o 9
2.1%
in
Tib
et, w
ith
17.
9%
fo
r th
e co
un
try
over
-al
l. M
LS
S is
an
inco
me
sup
ple
men
t p
ub
lic a
ssis
tan
ce p
rog
ram
, bu
t th
e in
tro
du
ctio
n o
f u
ser
char
ges
in e
du
ca-
tio
n a
nd
hea
lth
an
d t
he
fact
th
at t
hes
e ar
e n
ot
incl
ud
ed in
th
e ca
lcu
lati
on
of
the
ben
efi t
lin
es s
ug
ges
ts t
hat
oth
er
imp
ort
ant
defi
cit
s ar
e n
ot
add
ress
ed.
Dec
entr
aliz
ed im
ple
men
ta-
tio
n i
s es
sen
tial
giv
en t
he
het
ero
gen
eity
of
soci
al
eco
no
mic
co
nd
itio
ns
in
Ch
ina,
bu
t th
is a
lso
imp
lies
ineq
ual
itie
s in
ass
ista
nce
ba
sed
on
loca
l fi n
anci
al
capa
city
; pro
ble
ms
wit
h
syst
ems
of r
egis
trat
ion
an
d
revi
ew o
f th
e m
ean
s te
st.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 37
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Pro
gra
ma
Su
per
émo
nos
(Let
’s
Ove
rco
me)
Co
sta
Ric
aC
CT
200
0P
rovi
des
fo
od
co
up
on
s to
po
or
fam
ilies
, co
nd
itio
nal
up
on
a c
om
mit
men
t of
th
ese
fam
ilies
to
en
roll
all t
hei
r ch
ildre
n in
sc
ho
ol;
do
es n
ot
hav
e as
an
exp
licit
go
al
the
red
uct
ion
of
child
lab
or.
12,2
34
fam
ilies
(20
01)
. Po
or
fam
ilies
wit
h c
hild
ren
an
d a
do
-le
scen
ts 7
-18
, att
end
ing
sch
oo
l. M
ean
s-ba
sed
tar
get
ing
. U
S
$30
co
up
on
per
mo
nth
.
Su
cces
sfu
l in
incr
easi
ng
sch
oo
l att
en-
dan
ce-
ben
efi c
iari
es a
re 3
- 8
.7%
mo
re
likel
y to
att
end
sch
oo
l; n
o e
vid
ence
of
child
lab
or
dec
reas
e; 2
.4-5
% in
crea
se
in a
tten
dan
ce f
or
stu
den
ts 1
3-
16.
Tarj
eta
So
lidar
idad
(S
olid
arit
y)
Do
min
ican
R
epu
blic
CC
T20
05
To h
elp
elim
inat
e th
e in
ter-
gen
erat
ion
al
tran
smis
sio
n o
f th
e ca
use
s w
hic
h g
ener
-at
e an
d in
stil
pov
erty
, by
imp
rovi
ng
th
e in
vest
men
t by
po
or
fam
ilies
on
ed
uca
-ti
on
al, h
ealt
h a
nd
fo
od
inta
ke a
spec
ts.
Co
nd
itio
nal
up
on
sch
oo
l att
end
ance
an
d
hea
lth
ch
eck-
ups
. Un
ifi es
th
e “C
om
er e
s p
rim
ero”
an
d “
Fich
a IL
AE
” p
rog
ram
s.
230
,00
0 f
amili
es (
200
6);
P
op
ula
tio
n li
vin
g in
ext
rem
e p
over
ty. F
oo
d in
com
e co
mp
o-
nen
t: $
17, s
cho
ol a
tten
dan
ce
ince
nti
ve: $
9 f
or
1-2
ch
ildre
n,
$14
fo
r 3,
$19
fo
r 4
+.
No
t ye
t av
aila
ble
.
Tarj
eta
de
Asi
sten
cia
Esc
ola
r (T
AE
),
now
Ince
nti
vo
a la
Asi
sten
cia
Esc
ola
r
Do
min
ican
R
epu
blic
CC
T19
92
Des
ign
ed t
o im
pro
ve c
hild
ren’
s sc
ho
ol
atte
nd
ance
an
d r
eten
tio
n r
ates
. In
20
04
tr
ansf
orm
ed in
to S
cho
ol A
ssis
tan
ce
Ince
nti
ve (
Ince
nti
vo a
la A
sist
enci
a E
sco
lar)
.
100
,00
0 e
xtre
mel
y p
oo
r fa
mi-
lies
wit
h c
hild
ren
6-1
2. R
D$
300
p
er h
ou
seh
old
per
mo
nth
.
Favo
red
po
ore
r in
div
idu
als;
3.4
% o
f h
ou
seh
old
s d
id n
ot
hav
e an
y m
emb
ers
in t
he
age
ran
ge
of 1
-25
; cov
erag
e ra
tes
hig
her
fo
r p
oo
r q
uin
tile
s; m
ore
ef
fect
ive
reac
h o
f p
oo
r h
ou
seh
old
s th
an m
od
erat
ely
po
or;
neg
ativ
e re
dis
-tr
ibu
tive
effi
cie
ncy
.
Incr
ease
d s
avin
gs
and
wel
-fa
re g
ain
s co
uld
be
ach
ieve
d
by im
pro
vin
g t
arg
etin
g a
nd
d
ecre
asin
g le
akag
es.
Pro
gra
ma
de
Alim
enta
ció
n
Esc
ola
r (P
AE
),
Sch
oo
l Lu
nch
P
rog
ram
Do
min
ican
R
epu
blic
SFW
199
2N
atio
nwid
e sc
ho
ol l
un
ch p
rog
ram
fo
r ch
ildre
n 5
-14
in p
ub
lic p
re-s
cho
ol a
nd
ba-
sic
edu
cati
on
sch
oo
ls. A
ims
to in
crea
se
sch
oo
l att
end
ance
, red
uce
dro
p o
ut
rate
s, in
crea
se c
om
mu
nit
y pa
rtic
ipat
ion
in
sch
oo
l act
ivit
ies,
an
d im
pro
ve n
utr
i-ti
on
an
d li
vin
g c
on
dit
ion
s.
Ab
ou
t 1,6
00
,00
0 s
tud
ents
per
ye
ar. F
ree
lun
ches
(R
D$
152
.7
valu
e p
er p
erso
n p
er m
on
th)
Go
od
tar
get
ing
; cov
erag
e ra
tes
are
hig
her
fo
r p
oo
r q
uin
tile
s th
an r
ich
er
qu
inti
les;
rea
ch p
oo
r h
ou
seh
old
s m
ore
ef
fect
ivel
y th
an t
he
mo
der
atel
y p
oo
r;
po
siti
ve r
edis
trib
uti
ve e
ffi c
ien
cy.
Incr
ease
d s
avin
gs
and
wel
-fa
re g
ain
s co
uld
be
ach
ieve
d
by im
pro
vin
g t
arg
etin
g a
nd
d
ecre
asin
g le
akag
es.
Bo
no
So
lidar
io
(Bo
no
de
Des
arro
llo
Hu
man
o s
ince
2
00
4)
Ecu
ado
rC
CT
199
8D
irec
t m
on
thly
ben
efi t
s to
po
or
ho
use
-h
old
s w
ith
ch
ildre
n, e
lder
ly a
nd
dis
able
d
to b
road
en h
um
an c
apit
al a
nd
avo
id
inte
r-g
ener
atio
nal
tra
nsf
er o
f p
over
ty,
con
dit
ion
al o
n in
vest
men
ts in
ed
uca
tio
n
and
hea
lth
car
e.
1,06
0,4
16 h
ou
seh
old
s (2
00
6).
M
ean
s te
sted
tar
get
ing
. $15
p
er m
on
th t
o m
oth
ers,
$11
.50
to
eld
erly
/dis
able
d.
2/3
of
ben
efi c
iari
es f
aile
d t
o m
eet
ho
use
ho
ld in
com
e m
ean
s te
st; p
oo
r ta
rget
ing
- 1/
2 o
f p
ote
nti
al b
enefi
cia
-ri
es d
idn’
t re
ceiv
e th
e tr
ansf
er; 1
0%
im
pro
vem
ent
in s
cho
ol e
nro
lmen
t;
17%
red
uct
ion
in c
hild
lab
or;
no
sig
-n
ifi ca
nt
imp
rove
men
ts in
nu
trit
ion
al
stat
us;
go
od
per
cep
tio
n o
f p
rog
ram
by
ben
efi c
iari
es.
Hel
ps t
o c
lose
th
e sc
ho
olin
g
gap
bet
wee
n c
hild
ren
fro
m
the
rich
an
d p
oo
r h
ou
se-
ho
lds.
Mek
et
Liv
elih
oo
ds
Dev
elo
pm
ent
Pro
ject
(M
LD
P)
Eth
iop
iaS
FW20
03
Cas
h r
elie
f to
vu
lner
able
ho
use
ho
lds
to
hel
p t
hem
mee
t es
sen
tial
fo
od
exp
en-
dit
ure
an
d t
o in
vest
in a
sset
s. G
oal
s:
div
ersi
fi ca
tio
n o
f liv
elih
oo
d o
pti
on
s,
enh
ance
men
t of
co
mm
un
ity-
leve
l ass
ets,
an
d s
tim
ula
tio
n o
f ru
ral e
con
om
y.
46
,60
0, a
pp
rox
50
00
rece
ive
cash
rel
ief.
Foo
d in
-se
cure
ru
ral h
ou
seh
old
s. U
S
$3.
50
/per
son
per
mo
nth
; sea
-so
nal
tra
nsf
er.
En
able
d h
ou
seh
old
s to
bu
y se
eds
or
lives
tock
fo
r th
e fa
rmin
g s
easo
n a
nd
ke
ep t
hei
r as
sets
; hel
ped
div
ersi
fy
inco
me
sou
rces
; mo
re f
req
uen
t an
d
div
ersi
fi ed
nu
trit
ion
fo
r ch
ildre
n; i
n-
crea
sed
acc
ess
to h
ealt
h c
are.
Th
is s
ub
-dis
tric
t N
GO
pilo
t ai
ms
to e
ng
age
wit
h a
nd
in
fl u
ence
a n
atio
nal
sch
eme
– th
e P
rod
uct
ive
Saf
ety
Net
P
rog
ram
.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
38 WOLFENSOHN CENTER FOR DEVELOPMENT
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Pu
blic
Wo
rks,
Fo
od
Aid
an
d
Foo
d f
or
Wo
rk
Eth
iop
iaP
W19
93
Pro
vid
e u
nsk
illed
wo
rker
s w
ith
sh
ort
-te
rm, l
abo
r-in
ten
sive
em
plo
ymen
t o
n
com
mu
nit
y d
evel
op
men
t p
roje
cts.
80
%
of f
oo
d a
id is
dir
ecte
d t
o f
oo
d f
or
wo
rk
part
icip
ants
, 20
% -
to
th
ose
wh
o a
re n
ot
able
to
wo
rk.
60
0,0
00
(20
02
).
Ad
min
istr
ativ
e ta
rget
ing
, sel
f-ta
rget
ing
, co
mm
un
ity-
base
d
targ
etin
g. 1
5 k
g o
f fo
od
per
p
erso
n p
er m
on
th.
Red
uce
d v
uln
erab
ility
; im
pro
ved
nu
-tr
itio
nal
hea
lth
an
d c
hild
gro
wth
; wid
e g
ap in
mal
e an
d f
emal
e pa
rtic
ipat
ion
ra
tes-
wo
men
acc
ou
nte
d f
or
26%
of
the
emp
loym
ent
in p
ub
lic w
ork
s p
roj-
ects
, wh
ile t
hey
wer
e ta
rget
ed in
43%
of
th
e vi
llag
es.
Lac
k of
dat
a an
d m
eth
od
ol-
og
y fo
r ta
rget
ing
; low
fe-
mal
e pa
rtic
ipat
ion
; nee
d f
or
imp
rove
d c
om
mu
nic
atio
n
bet
wee
n W
FP, n
atio
nal
an
d
loca
l gov
ern
men
ts.
No
n-e
mer
gen
cy
foo
d a
id a
nd
fo
od
-fo
r-w
ork
Eth
iop
iaS
FW19
80
sFo
od
sec
uri
ty p
rog
ram
wit
h a
wo
rk c
om
-p
on
ent.
Pro
vid
ed f
oo
d e
ith
er a
s an
un
-co
nd
itio
nal
tra
nsf
er o
r as
a c
ash
tra
nsf
er
con
dit
ion
al o
n w
ork
.
20%
of
ho
use
ho
lds
rece
ived
ei
ther
fo
od
-aid
or
part
icip
ated
in
fo
od
-fo
r-w
ork
. Cat
ego
rica
l ta
rget
ing
. 3kg
of
wh
eat/
day
.
80
% o
f h
ou
seh
old
fo
od
sec
uri
ty
ben
efi t
s w
ere
in c
erea
ls (
199
2 -1
99
5);
h
igh
leak
age
(78
%)
and
low
cov
erag
e (4
9%
) ra
tes
for
foo
d a
id; p
oo
r ta
rget
-in
g, h
igh
per
cen
tag
e of
th
e p
oo
r d
id
no
t re
ceiv
e fo
od
aid
.
Po
or
targ
etin
g m
ay r
efl e
ct
hig
h c
ost
of
sett
ing
up
p
rog
ram
s in
fac
e of
sh
ifti
ng
sp
atia
l dis
trib
uti
on
of
inse
-cu
rity
ove
r ti
me.
Cas
h f
or
Wo
rk
in N
ort
h a
nd
S
ou
th G
on
der
Z
on
e
Eth
iop
iaU
CT/
P
W20
02
Pro
vid
es c
ash
to
ho
use
ho
lds
in n
eed
, ei
ther
as
un
con
dit
ion
al t
ran
sfer
or
wit
h
wo
rk r
equ
irem
ent,
to
red
uce
pov
erty
th
rou
gh
ass
et-c
reat
ion
an
d im
pro
vin
g
foo
d q
uan
tity
an
d q
ual
ity.
13,0
00
rec
ipie
nts
. Ho
use
ho
lds
in n
eed
.C
ost
-eff
ecti
ve; o
ver
65
% o
f pa
rtic
i-pa
nts
pre
ferr
ed c
ash
to
fo
od
; cas
h
paym
ent
pro
mo
ted
hig
her
par
-ti
cipa
tio
n in
em
plo
ymen
t sc
hem
es;
incr
ease
d a
sset
cre
atio
n; i
mp
rove
d
qu
anti
ty a
nd
qu
alit
y of
fo
od
co
nsu
mp
-ti
on
; no
mis
use
of
cash
; no
eff
ect
on
m
arke
t p
rice
s.
Urb
an F
oo
d f
or
Wo
rk (
UFF
W)
Eth
iop
iaP
W19
97
Pro
vid
es s
ho
rt-t
erm
un
emp
loym
ent
and
ba
sic
road
s an
d la
trin
es t
o r
esid
ents
of
mar
gin
al u
rban
co
mm
un
itie
s in
Ad
dis
A
baba
; en
han
ces
com
mu
nit
y pa
rtic
ipa-
tio
n in
sel
f-h
elp
act
ivit
ies.
Un
emp
loye
d u
nsk
illed
wo
rker
s in
ext
rem
ely
po
or
com
mu
ni-
ties
. Pai
d w
ith
fo
od
bas
ed o
n
pro
du
ctiv
ity.
A r
elie
f ra
ther
th
an a
dev
elo
pm
ent
pro
gra
m; n
ot
effe
ctiv
e as
a s
afet
y n
et;
imp
rove
d m
ob
ility
fo
r re
sid
ents
; fo
od
pa
ymen
ts r
edu
ced
fo
od
inse
curi
ty;
lon
g-t
erm
eff
ects
are
lim
ited
, pro
gra
m
faile
d t
o p
rovi
de
lon
g t
erm
pov
erty
al-
levi
atio
n o
r fo
od
sec
uri
ty.
Ch
ild S
urv
ival
P
roje
ct,
Ses
ame
Gro
wer
s’
Ass
oci
atio
n
Inst
itu
tio
nal
S
tren
gth
enin
g
Pro
ject
Gam
bia
SFW
199
0s
CG
A: a
dd
ress
es a
cces
s, a
vaila
bili
ty a
nd
u
tiliz
atio
n o
f fo
od
by
pro
mo
tin
g s
esam
e as
a c
ash
cro
p f
or
wo
men
; CS
P: f
ocu
ses
on
imp
rovi
ng
hea
lth
an
d n
utr
itio
n.
Imp
rove
d m
ater
nal
an
d c
hild
hea
lth
ca
re a
nd
nu
trit
ion
; red
uce
d c
hro
nic
m
aln
utr
itio
n; m
ore
wo
men
rec
eive
d
iro
n d
uri
ng
pre
gn
ancy
, att
end
ed a
n-
ten
atal
co
nsu
ltat
ion
s, a
nd
co
nsu
med
m
ore
nu
trit
ion
al f
oo
d; i
ncr
ease
d
awar
enes
s of
hea
lth
issu
es.
Pro
gra
ma
de
Asi
gn
ació
n
Fam
iliar
PR
AF
II (F
amily
A
llow
ance
P
rog
ram
)
Ho
nd
ura
sC
CT
199
0C
ash
tra
nsf
ers
to p
oo
r h
ou
seh
old
s co
nd
itio
nal
on
inve
stm
ent
in h
ealt
h a
nd
ed
uca
tio
n; s
up
po
rts
inst
itu
tio
nal
an
d
fi n
anci
al p
rovi
sio
n o
f ed
uca
tio
n a
nd
h
ealt
h. B
on
o E
sco
lar
for
fam
ilies
wh
o
sen
d t
hei
r ch
ildre
n t
o s
cho
ol;
Bo
no
Sal
ud
fo
r ch
ildre
n u
nd
er 5
an
d p
reg
nan
t/la
c-ta
tin
g w
om
en.
4.7
% o
f p
op
ula
tio
n.
Geo
gra
ph
ic t
arg
etin
g o
f p
oo
r h
ou
seh
old
s w
ith
ch
ildre
n 0
-3
and
6-1
2. H
ealt
h: $
34
-136
an
d
edu
cati
on
$24
-96
per
ho
use
-h
old
; $6
0/p
reg
nan
t w
om
an.
Pro
tect
ed p
oo
r h
ou
seh
old
s’ w
elfa
re
du
rin
g c
offe
e cr
isis
; si
gn
ifi ca
ntl
y af
-fe
cted
th
e la
bo
r al
loca
tio
n d
ecis
ion
of
cre
dit
co
nst
rain
ed c
offe
e fa
rmer
s w
hile
pro
tect
ing
ch
ildre
n; a
dd
itio
nal
liq
uid
ity
allo
wed
fam
ilies
to
kee
p
child
ren
in s
cho
ol,
wh
ile in
crea
sin
g
the
tim
e d
edic
ated
by
adu
lts
to c
offe
e fa
rmin
g.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 39
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Jaw
ahar
Ro
jgar
Yo
han
a (J
RY
) In
dia
PW
198
9C
reat
es s
up
ple
men
tary
em
plo
ymen
t o
pp
ort
un
itie
s fo
r th
e ru
ral p
oo
r d
uri
ng
ag
ricu
ltu
ral c
risi
s p
erio
ds;
imp
rove
s ru
ral
eco
no
mic
infr
astr
uct
ure
, cre
ates
co
m-
mu
nit
y an
d s
oci
al a
sset
s. R
estr
uct
ure
d
to J
awah
ar G
ram
Sam
rid
hi Y
oja
na.
1678
mil
per
son
day
s of
em
-p
loym
ent.
Geo
gra
ph
ic, d
emo
-g
rap
hic
an
d s
elf-
targ
etin
g.
31%
of
ben
efi c
iari
es w
ere
po
or
in 1
98
7
and
24
% in
19
93
; att
ract
ed n
on
-po
or
bec
ause
of
hig
her
th
an t
he
mar
ket
wag
e ra
te. 4
3% o
f b
ud
get
wen
t to
p
oo
r ru
ral h
ou
seh
old
s; h
igh
co
st
(US
$1.8
7 t
o t
ran
sfer
US
$1
in 1
99
1); r
e-d
uce
d t
ota
l un
der
emp
loym
ent
by 1
/3;
mo
des
t im
pact
on
ho
use
ho
ld le
vel.
Nat
ion
al O
ld-
Ag
e P
ensi
on
S
chem
e (N
OA
PS
)
Ind
iaU
CT
199
5P
rovi
des
cas
h p
aym
ents
to
des
titu
te
eld
erly
ho
use
ho
ld.
To p
rovi
de
secu
rity
to
eld
erly
an
d d
esti
tute
ho
use
ho
lds
thro
ug
h a
cas
h t
ran
sfer
s
1/4
of
all e
lder
ly. C
ateg
ori
cal
and
info
rmal
ind
ivid
ual
ass
ess-
men
t. U
S$
1.5 p
er m
on
th.
Po
or
un
der
stan
din
g o
f el
igib
ility
cri
te-
ria;
co
mp
lex
reg
istr
atio
n a
nd
sel
ecti
on
p
roce
sses
; err
atic
del
iver
y of
ben
efi t
s;
do
es m
ake
a si
gn
ifi ca
nt
dif
fere
nce
to
th
e liv
es o
f p
oo
r p
eop
le.
Cas
h li
mit
s o
n f
un
din
g
pro
vid
e a
dis
ince
nti
ve f
or
offi
cial
s to
pu
blic
ize
the
pro
gra
m.
Mah
aras
htr
a E
mp
loym
ent
Gu
aran
tee
Sch
eme
(ME
GS
)
Ind
iaP
W19
73G
ainf
ul e
mp
loym
ent
to a
ll ad
ult
s 18
+
in r
ura
l are
as a
nd
mu
nic
ipal
co
un
cils
in
Mah
aras
htr
a, w
illin
g t
o u
nd
erta
ke
un
skill
ed m
anu
al w
ork
to
bu
ild r
ura
l in
-fr
astr
uct
ure
. T
he
lon
g-t
erm
co
mp
on
ent
faci
litat
es a
sset
cre
atio
n, e
xpan
sio
n o
f jo
b o
pp
ort
un
itie
s, a
nd
pov
erty
alle
via-
tio
n.
100
-18
0 m
il p
erso
n d
ays
of
emp
loym
ent
per
yea
r. S
elf-
targ
etin
g.
Incr
ease
d e
arn
ing
s of
po
or
by 1
8 -
4
0%
an
d n
on
-po
or
18-3
3%; c
on
trib
-u
ted
to
gen
eral
po
litic
al a
ctiv
ism
an
d
coal
itio
n b
uild
ing
am
on
g t
he
po
or;
in
corp
ora
ted
gen
der
sp
ecifi
c d
esig
n
feat
ure
s; la
ck o
f d
ata
on
dir
ect
impa
ct
in t
erm
s of
loca
lized
em
plo
ymen
t cr
e-at
ed; f
aile
d t
o p
rovi
de
job
tra
inin
g.
Fully
su
pp
ort
ed b
y th
e st
ate
gov
ern
men
t an
d in
volv
es a
ll le
vels
of
soci
ety;
co
mp
li-ca
ted
reg
istr
atio
n p
roce
-d
ure
; del
ays
in p
aym
ents
; ra
mpa
nt
corr
up
tio
n.
Ku
du
mba
shre
e (K
DB
) p
over
ty
alle
viat
ion
p
rog
ram
Ind
ia, K
eral
aA
BP
199
8A
mu
ltis
ecto
ral p
rog
ram
bas
ed o
n v
il-la
ge-
leve
l mic
ro p
lan
nin
g, t
he
form
atio
n
of —
thri
ft a
nd
cre
dit
so
ciet
ies,
mic
roen
-te
rpri
se, a
nd
wo
men
‘s e
mp
ower
men
t th
rou
gh
so
cial
mo
bili
zati
on
an
d g
rou
p
form
atio
n
Invo
lvem
ent
of s
tate
an
d lo
-ca
l gov
ern
men
t in
des
ign
ing
th
e p
ilots
was
co
nsi
der
ed
on
e of
th
e m
ost
imp
ort
ant
det
erm
inan
ts f
or
scal
ing
-up
th
e C
DS
ap
pro
ach
.
Sch
ola
rsh
ips
and
Gra
nts
P
rog
ram
me
(SG
P)
Ind
on
esia
SFW
199
8S
cho
lars
hip
an
d g
ran
ts a
re d
istr
ib-
ute
d t
hro
ug
h p
ost
offi
ces
to
kee
p p
oo
r ch
ildre
n in
sch
oo
l an
d t
o k
eep
sch
oo
ls
op
erat
ion
al t
hro
ug
ho
ut
the
cris
is.
4 m
il. P
oo
rest
dis
tric
ts
thro
ug
h p
over
ty in
dic
es a
nd
a
com
po
site
fo
rmu
la. U
S$
16-4
0
per
stu
den
t p
er y
ear,
dep
end
-in
g o
n g
rad
e.
Red
uce
d le
akag
e an
d b
enefi
t t
ran
sfer
ti
me;
po
ore
st r
ecei
ved
a g
reat
er t
han
p
rop
ort
ion
al s
har
e of
sch
ola
rsh
ips;
6
3% c
om
e fr
om
fam
ilies
in t
he
low
est
two
exp
end
itu
re q
uin
tile
s, 1
8%
fro
m
the
hig
hes
t tw
o q
uin
tile
s; e
nro
lmen
t ra
tes
rem
ain
ed t
he
sam
e; lo
w c
over
-ag
e d
uri
ng
init
ial i
mp
lem
enta
tio
n.
Co
ord
inat
ion
an
d c
oo
p-
erat
ion
bet
wee
n d
on
ors
an
d g
over
nm
ent
agen
cies
co
ntr
ibu
ted
to
pro
gra
m
succ
ess.
So
cial
P
rote
ctio
n
Sec
tor
Dev
elo
pm
ent
Pro
gra
m
Ind
on
esia
UC
T19
98
Incl
ud
es w
ork
cre
atio
n p
rog
ram
s, s
ubs
i-d
ized
ric
e, f
ree
hea
lth
car
e, h
ealt
hca
re
subs
idie
s, c
om
mu
nit
y an
d s
cho
ol g
ran
ts,
edu
cati
on
sch
ola
rsh
ips.
Po
or
ho
use
ho
lds.
Em
plo
ymen
t o
pp
ort
un
itie
s, s
ubs
idiz
ed r
ice,
fr
ee s
cho
ol,
and
hea
lth
car
e.
On
ly h
alf
the
fun
din
g d
irec
tly
ben
-efi
ted
th
e p
oo
r; t
arg
etin
g p
rob
lem
s,
lack
of
tran
spar
ency
; unf
air
ben
efi t
al-
loca
tio
n; l
eaka
ge
to n
on
-po
or
or
un
der
co
vera
ge.
Imp
lem
enta
tio
n o
f th
e p
ol-
icy
com
po
nen
t w
as s
low
er
than
exp
ecte
d; d
ecen
tral
-iz
ed im
ple
men
tati
on
led
to
ad
min
istr
ativ
e p
rob
lem
s an
d c
apac
ity
con
stra
ints
.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
40 WOLFENSOHN CENTER FOR DEVELOPMENT
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Kar
tu S
ehat
P
rog
ram
Ind
on
esia
SFW
199
4D
istr
ibu
tes
card
s en
titl
ing
rec
ipie
nts
to
fr
ee h
ealt
h c
are
serv
ices
. A s
ing
le c
ard
p
er e
ach
rec
ipie
nt
fam
ily, u
p t
o e
igh
t fa
mily
mem
ber
s ca
n b
e lis
ted
on
th
e ca
rd.
Aim
s to
cov
er a
ll p
oo
r fa
mili
es.
Pri
ori
ty is
giv
en t
o p
oo
rest
vi
llag
es.
Pro
ble
ms
of u
sag
e an
d q
ual
ity;
car
d
ho
lder
s p
erce
ive
the
care
rec
eive
d
thro
ug
h t
he
hea
lth
car
d t
o b
e of
a
low
er q
ual
ity.
Lac
k of
info
rmat
ion
by
con
sum
ers,
pro
vid
ers,
an
d
gov
ern
men
t of
fi ci
als
as w
ell
as in
suffi
cie
nt
trai
nin
g. T
he
pu
blic
hea
lth
fac
iliti
es m
ust
b
ear
the
mai
n c
ost
s.
Inp
res
Des
a Te
rtin
gg
al (
IDT
)In
do
nes
iaU
CT
199
4-
96
Pro
visi
on
of
smal
l-sc
ale
cred
it t
o p
oo
r h
ou
seh
old
s in
th
e p
oo
rest
or
mo
st n
e-g
lect
ed v
illag
es. P
arti
cipa
tin
g v
illag
es
rece
ived
a b
lock
gra
nt
to b
e u
sed
as
a ba
se f
un
d f
or
smal
l-sc
ale
revo
lvin
g
cred
it a
vaila
ble
to
sel
ecte
d g
rou
ps f
or
self
-em
plo
ymen
t ac
tivi
ties
.
2-st
age
geo
gra
ph
ic t
arg
etin
g
of 2
0,0
00
po
or
villa
ges
. Rp
20
m
illio
n p
er v
illag
e.
Pov
erty
inci
den
ce d
ecre
ased
by
4.4
%
a ye
ar (
199
3-1
99
6);
low
tar
get
ing
ef-
fect
iven
ess;
incr
ease
d t
ota
l per
cap
ita
exp
end
itu
re, a
lth
ou
gh
no
t o
n h
ealt
h
care
; po
siti
ve im
pact
on
em
plo
ymen
t;
smal
l po
siti
ve im
pact
on
sch
oo
l att
en-
dan
ce; s
ucc
essf
ul i
n fi
sca
l dec
entr
al-
izat
ion
; po
siti
ve im
pact
on
red
uci
ng
re
gio
nal
dis
pari
ties
.
Allo
cati
on
invo
lved
po
litic
al
con
sid
erat
ion
s; c
oo
rdin
a-ti
on
pro
ble
ms
bet
wee
n
dep
artm
ents
; lac
k of
cap
ital
, lim
ited
par
tici
pati
on
by
wo
men
.
PD
M-D
KE
(E
mp
ower
ing
th
e R
egio
ns
to O
verc
om
e Im
pact
of
Eco
no
mic
C
risi
s)
Ind
on
esia
Pu
blic
w
ork
s19
98
-20
00
Pro
vid
es b
lock
gra
nts
th
rou
gh
a d
ecen
-tr
aliz
ed d
isb
urs
emen
t p
roce
ss f
or
eith
er
pu
blic
wo
rks
or
revo
lvin
g c
red
it f
un
ds
to p
oo
r an
d u
nem
plo
yed
to
su
pp
ort
in-
com
e-g
ener
atin
g s
mal
l-sc
ale
acti
viti
es.
Geo
gra
ph
ic t
arg
etin
g. F
rom
R
p10
mil
to R
p1
bil,
dep
end
ing
o
n s
ize
and
nu
mb
ers
of p
oo
r an
d u
nem
plo
yed
.
Ser
iou
s ta
rget
ing
issu
es; m
any
of t
he
sele
cted
infr
astr
uct
ure
pro
ject
s d
id
no
t p
rovi
de
ben
efi t
s to
th
e p
oo
rest
; la
rge
sum
s d
iver
ted
into
mat
eria
ls a
nd
eq
uip
men
t in
stea
d u
sed
fo
r la
bo
r.
Alle
gat
ion
s of
co
rru
pti
on
an
d “
mo
ney
po
litic
s”.
Pro
gra
m o
f A
dva
nce
men
t of
Hea
lth
an
d
Edu
cati
on
(P
AT
H)
Jam
aica
CC
T20
02
Aim
s to
incr
ease
ed
uca
tio
nal
att
ain
men
t an
d im
pro
ve h
ealt
h o
utc
om
es o
f th
e p
oo
r; in
crea
sin
g t
he
valu
e of
tra
nsf
er;
red
uce
ch
ild la
bo
r; s
erve
as
a sa
fety
n
et f
or
fam
ilies
in t
he
even
t of
ad
vers
e sh
ock
. Co
nd
itio
nal
on
sch
oo
l att
end
ance
an
d h
ealt
h c
hec
k-u
ps.
195
,00
0 (
200
5);
Isla
nd
-wid
e ta
rget
ing
via
pro
xy-m
ean
s te
st o
f m
ost
vu
lner
able
po
or.
Ed
uca
tio
n: U
S$
9 p
er c
hild
m
on
thly
; Hea
lth
: US
$9
per
m
emb
er m
on
thly
.
Bri
ng
s to
get
her
sep
arat
e p
over
ty
pro
gra
ms
con
sid
ered
to
be
un
der
per
-fo
rmin
g (
foo
d s
tam
ps, o
utd
oo
r p
oo
r re
lief,
and
old
ag
e in
capa
city
); d
elay
s in
reg
istr
atio
n; l
ack
of c
on
dit
ion
alit
y m
on
ito
rin
g.
A k
ey e
lem
ent
of t
he
gov
ern
men
t’s
init
iati
ve t
o
crea
te a
fi s
cally
so
un
d a
nd
m
ore
effi
cie
nt
syst
em o
f so
-ci
al a
ssis
tan
ce f
or
the
po
or
and
vu
lner
able
by
imp
rovi
ng
ta
rget
ing
mea
sure
s.
Ko
rea
Pu
blic
W
ork
s P
rog
ram
Ko
rea
PW
199
8P
rog
ram
to
su
pp
ort
th
e u
nem
plo
yed
. C
on
dit
ion
al o
n p
arti
cipa
nts
wo
rkin
g 8
h
ou
rs p
er d
ay 5
day
s a
wee
k, a
nd
ava
il-ab
le f
or
3 m
on
ths
on
ly.
795
,00
0 in
20
00
.P
rovi
ded
an
eff
ecti
ve s
ho
rt t
erm
sa
fety
net
fo
r sk
illed
wo
rker
s af
fect
ed
by t
he
cris
es; w
ell m
anag
ed a
nd
su
b-
ject
to
loca
l ove
rsig
ht;
hig
h a
pp
lican
t re
ject
ion
rat
e -
40
% w
ere
reje
cted
in
199
8-9
9; d
ura
tio
n o
f th
e p
roje
cts
is
too
sh
ort
.
In 1
99
9 a
sco
re s
yste
m w
as
intr
od
uce
d t
o d
eter
min
e p
rio
rity
fo
r se
lect
ion
.
Nat
ion
al O
ld
Ag
e P
ensi
on
L
eso
tho
UC
T20
04
Pu
blic
pen
sio
n p
rog
ram
to
pro
vid
e fi
nan
cial
su
pp
ort
to
old
er p
eop
le; n
ot
inte
nd
ed t
o s
up
po
rt ‘A
IDS
orp
han
s’ a
nd
o
ther
vu
lner
able
ch
ildre
n.
69
,04
6 in
div
idu
als;
nat
ion
al
cove
rag
e. O
ld p
eop
le o
ver
70.
US
$25
per
mo
nth
.
Imp
rove
d h
ou
seh
old
fo
od
sec
uri
ty
thro
ug
h in
crea
sed
fo
od
co
nsu
mp
tio
n
for
ben
efi c
iari
es a
nd
ch
ildre
n li
vin
g
wit
h t
hem
; sta
bili
zed
acc
ess
to f
oo
d;
imp
rove
d q
ual
ity
of f
oo
d a
nd
nu
tri-
tio
n.
Gen
erat
ed e
nti
rely
by
a d
om
esti
c p
olit
ical
eco
no
my
agen
da,
an
d fi
nan
ced
ou
t of
d
om
esti
c re
sou
rces
.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 41
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Imp
rovi
ng
L
ivel
iho
od
T
hro
ug
h
Pu
blic
Wo
rks
Pro
gra
mm
e (I
LTP
WP
)
Mal
awi
PW
200
3O
pp
ort
un
itie
s fo
r vu
lner
able
gro
ups
; in
-cl
ud
ing
sav
ing
s m
ob
iliza
tio
n, g
rou
p f
or-
mat
ion
tra
inin
g, p
rom
oti
on
of
eco
no
mic
ac
tivi
ties
, cap
acit
y b
uild
ing
fo
r D
istr
ict
Ass
emb
lies.
Gu
aran
teed
min
.10 m
on
ths
of e
mp
loym
ent.
Pilo
t d
istr
icts
of
Lilo
ng
we,
D
owa,
Ntc
his
i an
d S
alim
a.
Wea
lth
ran
kin
g a
nd
map
pin
g
exer
cise
. Ave
rag
e w
age
3,9
20-
6,6
57
K.
Low
wag
e ra
te a
nd
del
ays
in p
ay-
men
ts; g
rou
p f
orm
atio
n t
rain
ing
did
n
ot
effe
ctiv
ely
faci
litat
e co
mm
un
ity
base
d g
rou
ps d
evel
op
men
t; s
avin
gs
use
d f
or
foo
d a
nd
du
rab
les;
po
or
qu
al-
ity
of b
uilt
ro
ads;
po
siti
ve e
ffec
t o
n
soci
o-e
con
om
ic s
tatu
s.
Lim
ited
Dis
tric
t A
uth
ori
ty
capa
city
led
to
pro
ble
ms
wit
h r
epo
rtin
g t
o C
AR
E a
nd
M
AS
AF,
an
d t
imel
y pa
ymen
t of
wag
es a
nd
sav
ing
s.
Ded
za S
afet
y N
ets
Pilo
t P
roje
ct
(DS
NP
P)
Mal
awi
UC
T/
SFW
200
1-20
02
Th
e p
ilot
pro
gra
m w
as d
esig
ned
to
tes
t a
syst
em o
f d
irec
t ca
sh, v
ou
cher
s, o
r in
-kin
d g
oo
ds
tran
sfer
s to
th
e w
ork
-co
n-
stra
ined
ru
ral p
oo
r to
imp
rove
fo
od
-se-
curi
ty.
7,15
0 p
eop
le in
38
6 v
illag
es.
Wo
rk c
on
stra
ined
an
d d
is-
adva
nta
ged
peo
ple
. Cas
h,
vou
cher
or
in-k
ind
tra
nsf
er o
f M
K5
50
/per
son
per
mo
nth
Pro
ble
ms
wit
h t
ran
sfer
s’ d
eliv
ery;
ef
fect
ive
in p
reve
nti
ng
ext
rem
e fo
od
in
secu
rity
; eas
y an
d c
hea
p t
o a
d-
min
iste
r; 6
0%
of
bu
dg
et t
ran
sfer
red
d
irec
tly
to b
enefi
cia
ries
; sea
son
al
vari
atio
n o
f tr
ansf
er v
alu
e in
co
mm
od
-it
y te
rms;
vo
uch
ers
wer
e le
ss e
ffec
tive
an
d m
ore
exp
ensi
ve a
nd
co
mp
lex
to
adm
inis
ter.
Lo
gis
tics
of
the
vou
cher
s ar
e m
ore
co
mp
licat
ed t
han
o
ther
typ
es o
f tr
ansf
er, e
s-p
ecia
lly f
or
scal
ing
up
; lac
k of
ret
aile
rs w
ho
fu
lfi lle
d t
he
req
uir
emen
ts t
o p
arti
cipa
te
in a
vo
uch
er s
chem
e.
Sta
rter
Pac
k P
rog
ram
Mal
awi
SFW
199
8S
ubs
idiz
ed m
aize
pro
du
ctio
n t
hro
ug
h
the
dis
trib
uti
on
of
“sta
rter
pac
ks”
con
-ta
inin
g h
ybri
d m
aize
see
d, f
erti
lizer
, an
d
gro
un
dn
uts
or
soyb
ean
s to
fi ll
in t
ran
si-
tory
fo
od
gap
s, p
rom
ote
cro
p d
iver
sifi
ca-
tio
n a
nd
so
il fe
rtili
ty im
pro
vem
ents
.
2.7
mil
ho
use
ho
lds
(19
99
-20
01)
. All
farm
ing
ho
use
ho
lds.
S
ince
20
00
- g
eog
rap
hic
al
and
co
mm
un
ity
targ
etin
g.
Fert
ilize
r, m
aize
see
d a
nd
le-
gu
me
seed
s w
ort
h U
S$
15.
Inef
fect
ive
targ
etin
g; i
mp
rove
d f
oo
d
secu
rity
(ad
dit
ion
al 1
00
-15
0kg
of
mai
ze p
er p
ack)
; no
su
bsta
nti
al c
on
-tr
ibu
tio
n t
o n
atio
nal
fo
od
sec
uri
ty o
r su
stai
nab
le a
gri
cult
ure
; cro
wd
ed o
ut
pri
vate
su
pp
lies;
did
n’t
add
ress
pri
or-
ity
nee
ds
of p
oo
r fa
rmer
s; p
rob
lem
s w
ith
ben
efi c
iary
iden
tifi
cati
on
an
d
sele
ctio
n; s
om
e le
akag
e an
d “
do
ub
le-
dip
pin
g”;
hig
h c
ost
.
Fun
din
g w
as b
ein
g c
on
-st
antl
y re
neg
oti
ated
; fe
rtili
zer
and
see
d w
ere
inap
pro
pri
ate
for
loca
l cro
p-
pin
g;
faile
d t
o r
each
a c
riti
-ca
l mas
s. S
cale
d d
own
to
a
pov
erty
-tar
get
ed s
afet
y n
et
in 2
00
0.
PR
OC
AM
PO
(P
rog
ram
me
of D
irec
t P
aym
ents
to
th
e C
ou
ntr
ysid
e)
Mex
ico
SFW
199
4C
om
pen
sate
d lo
w-i
nco
me
farm
ers
for
anti
cipa
ted
neg
ativ
e ef
fect
of
NA
FTA
on
th
e p
rice
of
basi
c cr
ops
wit
h fi
xed
pay
-m
ents
per
hec
tare
of
basi
c cr
ops
ind
e-p
end
ent
of p
rod
uct
ion
levi
es. D
esig
ned
as
a 1
5-y
ear
tran
siti
on
tow
ard
fre
e tr
ade.
3 m
ln p
rod
uce
rs p
er y
ear.
Par
tici
pati
on
of
elig
ible
ho
use
-h
old
s is
alm
ost
un
iver
sal.
875
P
eso
s p
er h
ecta
re.
Incr
ease
d t
ota
l co
nsu
mp
tio
n a
nd
ca
lori
c in
take
(la
rger
impa
ct o
n
mea
t an
d v
eget
able
s co
nsu
mp
tio
n);
incr
ease
d f
oo
d s
ecu
rity
an
d d
iver
sity
; p
oo
r su
bsis
ten
ce f
arm
ers
rece
ived
th
e sa
me
amo
un
t, p
er h
ecta
re, a
s w
ealt
hy
mo
der
niz
ed f
arm
ers.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
42 WOLFENSOHN CENTER FOR DEVELOPMENT
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
PR
OG
GR
ES
SA
-O
po
rtu
nid
ades
Mex
ico
CC
T19
97
Su
pp
ort
to
fam
ilies
in e
xtre
me
pov
erty
to
dev
elo
p t
hei
r p
ote
nti
al a
nd
exp
and
th
eir
op
tio
ns,
hen
ce le
adin
g t
o b
ette
r le
vels
of
wel
l-b
ein
g, t
hro
ug
h im
pro
ved
ed
uca
tio
n, h
ealt
h a
nd
fo
od
inta
ke.
Co
nd
itio
nal
up
on
sch
oo
l att
end
ance
an
d
hea
lth
ch
eck-
ups
.
5 m
il fa
mili
es in
20
05
. G
eog
rap
hic
tar
get
ing
an
d
pro
xy m
ean
s te
st. U
S$
12.5
p
er f
amily
fo
r co
nsu
mp
tio
n;
max
. US
$75
per
ho
use
ho
ld
per
mo
nth
fo
r ed
uca
tio
n; a
vg.
ben
efi t
is 2
1% o
f h
ou
seh
old
co
nsu
mp
tio
n.
Mo
re e
ffi c
ien
t an
d c
ost
-eff
ecti
ve t
han
p
revi
ou
s fo
od
su
bsid
y p
rog
ram
s; g
oo
d
targ
etin
g; i
ncr
ease
d c
on
sum
pti
on
an
d
mo
re d
iver
sifi
ed n
utr
itio
n; i
ncr
ease
d
use
of
pre
ven
tive
hea
lth
ser
vice
s,
sch
oo
l att
end
ance
, an
d h
ou
seh
old
p
urc
has
ing
pow
er; i
mp
rove
d s
cho
ol
per
form
ance
; red
uce
d d
epth
an
d s
e-ve
rity
of
pov
erty
an
d g
end
er in
equ
al-
ity
and
mat
ern
al a
nd
ch
ild m
ort
alit
y ra
tes;
may
be
trig
ger
ing
per
man
ent
chan
ges
in t
he
inco
me
earn
ing
cap
a-b
iliti
es; i
ncr
ease
d p
ote
nti
al f
or
init
iat-
ing
mic
ro-b
usi
nes
s ac
tivi
ties
.
Pro
gra
m’s
po
siti
ve im
pact
s h
elp
ed p
rom
pt
its
expa
nsi
on
in
to u
rban
are
as. M
ore
over
, th
e p
rog
ram
has
co
nti
nu
ed
wit
h r
elat
ivel
y fe
w a
lter
a-ti
on
s d
esp
ite
a ch
ang
e in
g
over
nm
ent.
Pro
gra
ma
de
Em
ple
o
Tem
po
ral (
PE
T)
Mex
ico
PW
199
6In
itia
ted
aft
er t
he
199
5 c
risi
s; p
rovi
des
sh
ort
-ter
m e
mp
loym
ent
up
to
88
day
s at
90
% o
f m
inim
um
wag
e o
n p
ub
lic p
roj-
ects
in p
oo
r ru
ral a
reas
.
1 m
il p
eop
le (
200
0).
81.0
5$
(2
00
4).
Po
ore
st p
op
ula
tio
n
in r
ura
l are
as w
ith
less
th
an
250
0 in
hab
itan
ts.
Alle
viat
ed u
nd
erem
plo
ymen
t; 6
0%
of
par
tici
pan
ts e
nd
ed u
p a
bov
e th
e ex
trem
e p
over
ty t
hre
sho
ld; n
o e
vi-
den
ce o
f ef
fect
s o
n in
com
e in
lo
ng
te
rm; g
oo
d b
uff
er a
gai
nst
off
-sea
son
ru
ral u
nem
plo
ymen
t; g
oo
d t
arg
etin
g;
part
icip
ants
are
po
ore
r th
an n
on
-par
-ti
cipa
nts
; did
no
t re
ach
sm
alle
st r
ura
l co
mm
un
itie
s.
Cas
h P
aym
ents
to
War
-d
isp
lace
d
Urb
an D
esti
tute
H
ou
seh
old
s (G
AP
VU
)
Moz
amb
iqu
eU
CT
199
0-
199
7L
aun
ched
aft
er t
he
civi
l war
to
su
pp
ort
d
esti
tute
gro
ups
in u
rban
are
as; a
ims
to
rais
e co
nsu
mp
tio
n t
o 1
700
cal
ori
es p
er
day
fo
r h
ou
seh
old
s w
ith
mal
no
uri
shed
ch
ildre
n u
nd
er fi
ve,
pre
gn
ant
wo
men
, an
d e
lder
ly a
nd
dis
able
d.
80
,00
0 h
ou
seh
old
s (1
99
6).
C
ateg
ori
cal t
arg
etin
g. $
US
1.14
p
er m
on
th, d
epen
din
g o
n t
he
ho
use
ho
ld s
ize.
Po
siti
ve im
pact
on
red
uci
ng
urb
an
pov
erty
; lar
ge
leak
age
rate
s (o
nly
31%
of
tra
nsf
ers
go
to
th
e p
oo
r); b
enefi
ts
rece
ived
are
33%
less
th
an e
nti
tle-
men
ts; r
edu
ced
pov
erty
hea
dco
un
t fr
om
71%
to
66
%.
Exc
lusi
vely
urb
an c
over
age,
w
her
eas
85
% o
f p
op
ula
tio
n
and
th
e va
st m
ajo
rity
of
the
po
or
live
in r
ura
l are
as.
INA
S F
oo
d
Su
bsid
y P
rog
ram
Moz
amb
iqu
eU
CT
199
7T
he
mo
nth
ly c
ash
tra
nsf
er is
inte
nd
ed
to b
e u
sed
by
po
or
Moz
amb
ican
s to
bu
y fo
od
. It
aim
s to
su
pp
ort
en
titl
emen
ts t
o
foo
d t
hro
ug
h r
aisi
ng
ho
use
ho
ld in
com
e.
69
,09
5 d
irec
t, 9
1,411
ind
irec
t b
enefi
cia
ries
(20
05
). O
lder
p
eop
le u
nab
le t
o w
ork
wit
h
no
inco
me;
sic
k; p
reg
nan
t w
om
en. U
S$
3-6
per
mo
nth
per
h
ou
seh
old
.
Incr
ease
d p
urc
has
ing
pow
er, p
ro-
mo
ted
inve
stin
g in
loca
l sav
ing
sc
hem
es d
uri
ng
th
e h
arve
st s
easo
n;
very
low
tra
nsf
er v
alu
e; li
mit
ed c
ov-
erag
e d
ue
to a
nd
cap
acit
y/fu
nd
ing
co
nst
rain
ts; l
imit
ed im
ple
men
tati
on
ca
paci
ty o
uts
ide
of u
rban
cen
ters
; co
r-ru
pti
on
an
d f
rau
d.
Fin
ance
d e
nti
rely
th
rou
gh
th
e st
ate
bu
dg
et; i
mp
le-
men
tin
g M
inis
try
for
Wo
men
an
d S
oci
al A
ctio
n
is w
eak
and
has
lim
ited
ba
rgai
nin
g p
ower
wit
h t
he
Min
istr
y of
Fin
ance
.
Res
ettl
emen
t G
ran
t fo
r Fl
oo
d A
ffec
ted
R
egio
ns
Moz
amb
iqu
eU
CT
200
0-
200
1P
rovi
sio
n o
f ti
me
limit
ed c
ash
tra
ns-
fers
to
ho
use
ho
lds
affe
cted
by
fl o
od
s in
19
99/
200
0 t
o r
ecov
er t
hei
r liv
elih
oo
ds.
106
,00
0 r
ura
l ho
use
ho
lds.
Ta
rget
ing
bas
ed o
n lo
cati
on
an
d d
amag
e to
ho
me
and
cr
ops
. US
$9
2 p
er h
ou
seh
old
.
Un
cert
ain
ty o
ver
tim
ing
an
d s
ize
of
tran
sfer
s d
elay
ed p
lan
nin
g a
nd
imp
le-
men
tati
on
; hel
ped
sta
bili
ze h
ou
se-
ho
lds
affe
cted
by
the
fl o
od
s, a
nd
ju
mp
-sta
rt e
con
om
ic a
ctiv
ity.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 43
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Pen
sio
n
Pro
gra
mN
amib
iaU
CT
194
9O
ld-a
ge
un
iver
sal p
ensi
on
to
pre
ven
t p
over
ty a
mo
ng
old
er p
eop
le.
96
,76
7 (
200
1).C
ateg
ori
cal
targ
etin
g o
f in
div
idu
als
60
+.
US
$26
per
mo
nth
.
95
% o
f el
igib
le p
eop
le r
ecei
ved
pen
-si
on
in 2
00
1 (4
8%
in 1
99
3-9
4);
low
er
cove
rag
e in
rem
ote
no
rth
ern
pro
v-in
ces;
50
% o
f el
igib
le in
div
idu
als
are
no
n-p
oo
r; c
ost
ly; c
om
plic
ated
acc
ess
to p
ensi
on
s; c
on
stit
ute
s 14
% o
f ru
ral
and
7%
of
urb
an in
com
es.
Leg
isla
tio
n t
o m
ake
pen
-si
on
s m
ean
s te
sted
has
b
een
ap
pro
ved
bu
t th
e G
over
nm
ent
has
no
t im
ple
-m
ente
d it
.
Red
de
Pro
tecc
ión
S
oci
al “
Mi
Fam
ilia”
Nic
arag
ua
CC
T20
00
Ince
nti
ves
for
hu
man
-cap
ital
acc
um
ula
-ti
on
am
on
g c
hild
ren
fro
m p
oo
r fa
mili
es
in e
du
cati
on
, nu
trit
ion
an
d h
ealt
h; f
ocu
s o
n im
pro
vem
ent
of w
elfa
re o
f ex
trem
ely
po
or
seg
men
ts. C
on
dit
ion
al u
po
n s
cho
ol
and
hea
lth
cen
ters
att
end
ance
.
35,0
00
to
tal.
Ch
ildre
n 0
-13
fr
om
po
or
fam
ilies
; mu
st b
e re
gis
tere
d in
sch
oo
l. H
ealt
h,
edu
cati
on
an
d f
oo
d b
on
use
s (c
ash
tra
nsf
ers)
.
Incr
ease
in s
cho
ol e
nro
lmen
t ra
tes,
sa
me
for
boy
s an
d g
irls
, gre
ater
am
on
g p
oo
rer
and
yo
un
ger
fam
ilies
; 5
% c
hild
lab
or
red
uct
ion
(7-
13 y
ears
);
incr
ease
in im
mu
niz
atio
n le
vels
by
30%
; bu
t n
o r
edu
ctio
n in
an
emia
; im
pro
ved
an
d m
ore
var
ied
die
t; 5
5%
re
ceiv
ed b
y p
oo
rest
20
%, 8
1% b
y p
oo
rest
40
%.
Fon
do
de
Inve
rsio
n S
oci
al
Nic
arag
ua
PW
199
0C
om
pen
sati
on
of
the
impa
ct o
f st
ruc-
tura
l ad
just
men
t p
rog
ram
s an
d t
em-
po
rary
em
plo
ymen
t. C
om
po
nen
ts:
edu
cati
on
al in
fras
tru
ctu
re, h
ealt
h, s
oci
al
assi
stan
ce, w
ater
an
d s
ewag
e, m
un
icip
al
and
co
mm
un
ity
serv
ices
, env
iro
nm
enta
l im
pro
vem
ent.
A T
raba
jar
Per
uP
W20
02
Tem
po
rary
em
plo
ymen
t fo
r lo
w in
com
e p
eop
le a
ffec
ted
by
eco
no
mic
rec
essi
on
.
Pak
ista
n B
ait-
ul-
Maa
l (P
BM
) P
akis
tan
UC
T/
SFW
199
2T
he
pro
gra
m is
a c
om
bin
ed f
oo
d s
ub
-si
dy
(Fo
od
Su
bsid
y S
chem
e) a
nd
cas
h
tran
sfer
(In
div
idu
al F
inan
cial
Ass
ista
nce
S
chem
e). A
ims
to im
pro
ve t
he
wel
fare
of
wid
ows,
orp
han
s, d
isab
led
, nee
dy
and
p
oo
r.
5,0
00
un
der
IFA
(19
97-
98
),
240
,00
0 u
nd
er F
SS
. Dis
able
d,
wid
ows,
orp
han
s, h
ou
seh
old
s liv
ing
bel
ow p
over
ty li
ne.
R
s20
0/f
amily
per
mo
nth
.
Rea
ched
on
ly a
min
ori
ty o
f ta
rget
p
op
ula
tio
n; h
igh
leak
age
rate
; t
ime
con
sum
ing
an
d c
om
plic
ated
ben
efi t
ap
plic
atio
n p
roce
du
re;
lim
ited
cov
er-
age;
po
or
tran
spar
ency
; mis
allo
ca-
tio
n o
f fu
nd
s; v
ery
smal
l im
pact
on
p
over
ty.
Th
e P
rim
e M
inis
ter
and
o
ther
hig
h-l
evel
fu
nct
ion
ar-
ies
can
san
ctio
n a
mo
un
ts
in p
ub
lic g
ath
erin
gs
or
else
wh
ere
for
ind
ivid
ual
fi
nan
cial
ass
ista
nce
.
So
cial
Pen
sio
nS
ou
th A
fric
aU
CT
199
0s
Old
-ag
e p
ensi
on
fo
r w
om
en o
ver
60
an
d
men
ove
r 6
5; e
xten
ded
to
bla
ck p
op
ula
-ti
on
in 1
98
0s
and
19
90
s.
1.9 m
il (2
00
2).
Mea
ns-
test
ed
cate
go
rica
l; al
mo
st u
niv
ersa
l. U
S$
75 p
er m
on
th (
200
0)
Red
uce
s p
over
ty; i
mp
rove
s n
utr
itio
n
and
hea
lth
sta
tus;
fac
ilita
tes
ho
use
-h
old
inve
stm
ent;
imp
rove
s sc
ho
ol
enro
lmen
t; r
edu
ces
child
lab
or;
co
stly
d
istr
ibu
tio
n t
o r
emo
te a
reas
; len
gth
y re
gis
trat
ion
pro
cess
; wel
l ad
min
is-
tere
d; s
ign
ifi ca
nt
impa
ct o
n p
over
ty
amo
ng
Afr
ican
s; im
pro
ved
inco
me
red
istr
ibu
tio
n.
Th
e m
ean
s-te
st e
xclu
des
m
ost
of
the
eld
erly
Wh
ites
(o
nly
16
% o
f w
hit
es r
ecei
ve
pen
sio
n) a
nd
a v
ery
smal
l p
rop
ort
ion
of
the
eld
erly
B
lack
(9
0%
).
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
44 WOLFENSOHN CENTER FOR DEVELOPMENT
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Nat
ion
al P
ub
lic
Wo
rks
Pro
gra
m
(NP
WP
)
So
uth
Afr
ica
PW
199
4G
ener
ates
inco
me
and
pro
du
ctiv
e in
fra-
stru
ctu
re t
hro
ug
h jo
b p
rovi
sio
n. A
ims
to c
reat
e an
d m
ain
tain
infr
astr
uct
ure
; re
du
ce u
nem
plo
ymen
t an
d p
rovi
de
trai
n-
ing
; em
pow
er c
om
mu
nit
ies.
Ch
ron
ical
ly u
nem
plo
yed
po
or
in r
emo
te r
ura
l are
as, f
ocu
s o
n
wo
men
.
83
-92
% o
f p
roje
cts
ou
tper
form
ed a
n
un
targ
eted
tra
nsf
er s
chem
e; 3
9%
of
job
wen
t to
wo
men
an
d 1
2%
to
yo
uth
; p
oo
r ta
rget
ing
; wo
men
go
t m
ore
m
enia
l jo
bs, l
ower
ave
rag
e w
ages
, an
d
wer
e em
plo
yed
fo
r sh
ort
er p
erio
ds
than
men
; 37%
of
men
an
d 3
2%
of
wo
men
rec
eive
d t
rain
ing
.
Pro
ject
des
ign
an
d m
anag
e-m
ent
is c
om
plic
ated
by
the
invo
lvem
ent
of n
um
ero
us
acto
rs; m
ult
iple
ob
ject
ives
co
mp
licat
e ta
rget
ing
.
Ch
ild S
up
po
rtG
ran
tS
ou
th A
fric
aU
CT
199
8C
ash
ben
efi t
fo
r p
oo
r ch
ildre
n b
etw
een
th
e ag
es o
f 0
an
d 1
4 y
ears
, lo
cate
d in
th
e p
oo
rest
pro
vin
ces.
7 m
il. M
ean
s-te
sted
tar
get
-in
g. R
110
per
ch
ild p
er m
on
th
(20
02
).
Imp
lem
enta
tio
n is
no
t co
nsi
sten
t w
ith
in a
nd
acr
oss
pro
vin
ces;
par
ents
of
ben
efi c
iari
es a
re m
ore
like
ly t
o b
e u
nem
plo
yed
an
d le
ss e
du
cate
d t
han
th
ose
no
t re
ceiv
ing
th
e g
ran
t; g
irls
are
n
ot
at d
isad
van
tag
e fo
r a
gra
nt;
ch
il-d
ren
wh
o d
o n
ot
co-r
esid
e w
ith
th
eir
mo
ther
s ar
e at
ris
k fo
r n
ot
rece
ivin
g
the
gra
nt.
Ad
ult
mu
st a
pp
ly a
nd
co
l-le
ct t
he
gra
nt;
val
ue
is in
-su
ffi c
ien
t to
cov
er t
he
basi
c co
sts
of c
hild
care
.
Gu
nd
o L
ash
u
(Lim
po
po)
So
uth
Afr
ica
PW
200
0Fo
cuse
s o
n b
oth
em
plo
ymen
t cr
eati
on
an
d t
he
trai
nin
g o
f co
ntr
acto
rs a
nd
co
n-
sult
ants
in la
bo
r-in
ten
sive
ro
ad r
ehab
ili-
tati
on
. Em
plo
ymen
t la
sts
-4 m
on
ths.
170
0 la
bo
rers
. Un
emp
loye
d
or
un
der
emp
loye
d w
om
en,
fem
ale-
hea
ded
ho
use
ho
lds,
yo
uth
, dis
able
d. R
30.3
6 w
age
per
day
.
On
aver
age
51%
of
wor
kers
hav
e be
en
wom
en, 5
8%
you
th a
nd 1%
dis
able
d;
cont
ribu
ted
to p
over
ty g
ap r
educ
tion
; 79
% u
sed
earn
ings
for
food
pur
chas
e,
50
% fo
r cl
othi
ng, 4
0%
on
tran
spor
t;
36%
rep
orte
d in
crea
sed
fi na
ncia
l ass
ets.
Foo
d s
tam
psS
ri L
anka
SFW
1979
Foo
d a
nd
ker
ose
ne
stam
ps t
o s
ubs
idiz
e co
nsu
mp
tio
n o
f ba
sic
go
od
s fo
r p
oo
rest
h
ou
seh
old
s.
Ext
ensi
ve c
over
age
and
hig
h
valu
e of
ben
efi t
s. M
ean
s te
sted
ta
rget
ing
. Eq
uiv
alen
t to
15
% o
f p
er c
apit
a ex
pen
dit
ure
s of
th
e p
oo
rest
qu
inti
le (
198
2).
Rea
ched
th
e p
oo
rest
, fo
od
sta
mp
s co
ntr
ibu
tio
n t
o c
alo
ries
is 1
1.6%
fo
r th
e lo
wes
t q
uin
tile
an
d 0
.7%
fo
r th
e h
igh
est;
wel
l tar
get
ed; f
oo
d s
tam
p
rece
ipts
are
pro
gre
ssiv
e; v
ery
cost
ly-
take
s U
S$
2.5
to
tra
nsf
er U
S$
1; o
per
a-ti
on
al a
bu
ses;
par
tly
resp
on
sib
le f
or
ineq
ual
ity
red
uct
ion
.
Low
Inco
me
Car
d S
chem
e (L
ICS
)
Th
aila
nd
SFW
1975
Qu
alifi
ed b
enefi
cia
ries
are
giv
en a
ben
-efi
cia
ry c
ard
val
id f
or
thre
e ye
ars,
wh
ich
sp
ecifi
es o
ne
or
two
des
ign
ated
hea
lth
fa
cilit
ies
usu
ally
loca
l hea
lth
cen
ters
or
dis
tric
t h
osp
ital
s.
Tota
l 37%
of
po
pu
lati
on
; C
om
mu
nit
y-ba
sed
iden
tifi
ca-
tio
n o
f p
oo
r el
der
ly, c
hild
ren
b
elow
12
, vet
eran
s, h
and
i-ca
pp
ed, m
on
ks.
Lim
ited
cov
erag
e an
d h
igh
leak
age;
p
oo
r ta
rget
ing
- o
nly
55
% o
f b
enefi
cia
-ri
es w
ere
po
or;
neg
ativ
e p
erce
pti
on
of
pu
blic
ser
vice
qu
alit
y by
th
e p
oo
r an
d
by h
ealt
h w
ork
ers;
lim
ited
hea
lth
car
e ex
pen
ses
of t
he
po
ore
st a
nd
pro
vid
ed
a sa
fety
net
fo
r h
igh
er in
com
e g
rou
ps.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
THE POLITICAL ECONOMY OF POVERTY REDUCTION 45
Pro
gra
mC
ou
ntr
yTy
pe
Yea
rO
bje
ctiv
e/ C
on
dit
ion
alit
yS
cale
Imp
act
Po
litic
al, i
nst
itu
tio
nal
, o
pe
rati
on
al is
sues
Co
nd
itio
nal
C
ash
Tra
nsf
erTu
rkey
CC
T20
01
Pro
vid
es in
cen
tive
to
th
e p
oo
r to
kee
p
thei
r ch
ildre
n in
sch
oo
l by
cove
rin
g t
he
ou
t-of
-po
cket
exp
ense
s in
th
e sh
ort
-te
rm; t
o g
et a
deq
uat
e h
ealt
h c
are
and
n
utr
itio
n s
ervi
ces
for
child
ren
0-6
to
re-
du
ce in
fan
t m
ort
alit
y ra
te a
nd
dis
ease
s;
and
to
pre
ven
t p
reg
nan
cy r
isks
th
rou
gh
ch
ecku
ps, v
acci
nat
ion
s, b
irth
an
d p
ost
-tr
eatm
ents
.
2 m
il b
enefi
cia
ries
. Th
e p
oo
r-es
t 6
%; p
roxy
mea
ns
test
. E
du
cati
on
: US
$13
-28
; hea
lth
: $
12/c
hild
per
mo
nth
, $12
per
m
on
th d
uri
ng
pre
gn
ancy
, $39
fo
r b
irth
giv
ing
Imp
rove
d a
sset
acc
um
ula
tio
n a
nd
w
ell-
bei
ng
; eff
ecti
ve t
arg
etin
g; t
ran
s-pa
ren
t id
enti
fi ca
tio
n o
f th
e p
oo
r;
hel
ped
po
or
mee
t im
med
iate
nee
ds
du
rin
g fi
nan
cial
str
ess;
incr
ease
d
enro
llmen
t ra
tes
and
hel
ped
kee
p
child
ren
in s
cho
ols
; nar
row
ed d
evel
op
-m
ent
gap
bet
wee
n r
ich
er a
nd
po
ore
r re
gio
ns;
imp
rove
d a
cces
s to
hea
lth
an
d e
du
cati
on
.
Ug
and
a N
utr
itio
n a
nd
E
arly
Ch
ildh
oo
d
Dev
elo
pm
ent
Pro
ject
(N
EC
DP
)
Ug
and
aU
CT
199
8A
imed
at
hal
vin
g m
aln
utr
itio
n a
mo
ng
p
resc
ho
ol c
hild
ren
, rai
sin
g p
rim
ary
sch
oo
l en
rollm
ent,
red
uci
ng
dro
po
ut
and
re
pet
itio
n r
ates
, im
pro
vin
g p
sych
o-s
oci
al
and
co
gn
itiv
e d
evel
op
men
t, a
nd
incr
eas-
ing
th
e n
um
ber
of
mo
ther
s p
ract
icin
g
app
rop
riat
e ch
ildca
re.
8,0
00
co
mm
un
itie
s. F
amili
es
wit
h c
hild
ren
un
der
6.
Imp
rove
d c
hild
nu
trit
ion
an
d h
ealt
h-
mal
nu
trit
ion
am
on
g c
hild
ren
0-3
6
mo
nth
s w
as r
edu
ced
by
30%
; eff
ec-
tive
del
iver
y of
ser
vice
s; in
crea
sed
d
eman
d f
or
de-
wo
rmin
g m
edic
ine
and
vi
tam
in A
; in
crea
sed
sch
oo
l en
roll-
men
t, p
arti
cula
rly
for
pre
-sch
oo
l ag
e ch
ildre
n; p
arti
cipa
tin
g c
hild
ren
hav
e h
igh
er s
cho
ol a
ttai
nm
ent
by 1
2 t
han
n
on
-par
tici
pati
ng
ch
ildre
n.
A s
trat
egic
co
mm
un
ica-
tio
n p
rog
ram
was
de-
sig
ned
to
hel
p m
oth
ers
and
oth
er c
areg
iver
s ad
op
t n
ew b
ehav
iors
nee
ded
to
ac
hie
ve p
roje
ct o
utc
om
es.
Par
liam
enta
ry a
dvo
cacy
g
rou
p w
as e
stab
lish
ed
to g
ain
su
pp
ort
wit
hin
P
arlia
men
t.
Bas
ic E
du
cati
on
A
ssis
tan
ce
Mo
du
le (
BE
AM
)
Zim
babw
eU
CT
200
1P
art
of t
he
So
cial
Saf
ety
Net
to
su
pp
ort
ed
uca
tio
n o
f d
isad
van
tag
ed c
hild
ren
in
bo
th p
rim
ary
and
sec
on
dar
y ed
uca
tio
n,
red
uci
ng
th
e n
um
ber
of
child
ren
dro
p-
pin
g o
ut
of s
cho
ol a
nd
rea
chin
g o
ut
to
child
ren
wh
o h
ave
nev
er b
een
to
sch
oo
l d
ue
to e
con
om
ic h
ard
ship
s.
90
0,0
00
in 2
00
6. V
uln
erab
le
child
ren
of
sch
oo
l-g
oin
g a
ge
(ag
es 6
-19
). U
S$
3,3/
child
/ter
m
(3 t
imes
per
yea
r) p
aid
dir
ectl
y to
th
e sc
ho
ol.
Kal
om
o D
istr
ict
Pilo
t S
oci
al
Cas
h T
ran
sfer
S
chem
e
Zam
bia
UC
T20
04
Cas
h t
ran
sfer
fo
r cr
itic
ally
po
or
ho
use
-h
old
to
red
uce
ext
rem
e p
over
ty, h
un
ger
an
d s
tarv
atio
n. F
ocu
s o
n h
ou
seh
old
s h
ead
ed b
y th
e el
der
ly a
nd
car
ing
fro
m
orp
han
an
d v
uln
erab
le c
hild
ren
.
4,0
00
per
son
s in
1,0
27 (
200
4).
C
om
mu
nit
y ta
rget
ing
of
po
or-
est
10%
an
d t
ho
se u
nab
le t
o
wo
rk. U
S$
6 (
wit
ho
ut
child
ren)
US
$ 8
(w
ith
ch
ildre
n).
No
n in
fl at
ion
ary
effe
cts
on
inp
ut
pri
ces;
imp
lem
enta
tio
n m
ore
dif
fi cu
lt
in r
emo
te r
ura
l are
as; g
oo
d d
eliv
ery
mec
han
ism
; tra
nsp
aren
t an
d p
arti
ci-
pato
ry a
pp
rova
l; im
pro
ved
acc
ess
to
foo
d (
qu
anti
ty a
nd
qu
alit
y); p
osi
tive
im
pact
s o
n e
du
cati
on
an
d h
ealt
h;
cost
-eff
ecti
ve; l
ow le
akag
e ra
te, b
ut
low
cov
erag
e of
th
e p
oo
r; h
igh
ver
tica
l b
ut
low
ho
rizo
nta
l eff
ecti
ven
ess
of
targ
etin
g.
Sta
rted
as
pilo
t p
roje
ct, n
ow
scal
ed-u
p t
o o
ther
dis
tric
ts
by g
over
nm
ent
wo
rkin
g
wit
h p
artn
ers,
incl
ud
ing
N
GO
s; r
equ
ires
str
on
g fi
eld
p
rese
nce
of
dis
tric
t st
aff;
ba
sed
on
vo
lun
tari
sm a
nd
a
hig
h le
vel o
f en
gag
emen
t o
n t
he
com
mu
nit
y le
vel.
Pu
blic
Wel
fare
A
ssis
tan
ce
Sch
eme
(PW
AS
)
Zam
bia
UC
T20
00
Co
mm
un
ity-
base
d; o
ffer
s so
cial
ass
is-
tan
ce t
o t
he
mo
st v
uln
erab
le t
o m
eet
basi
c n
eed
s (f
oo
d, s
hel
ter,
edu
cati
on
, h
ealt
h, c
loth
ing
) an
d p
rom
ote
s co
mm
u-
nit
y ca
paci
ty t
o d
evel
op
loca
l an
d e
xter
-n
ally
su
pp
ort
ed in
itia
tive
s to
ove
rco
me
the
pro
ble
ms
of e
xtre
me
pov
erty
an
d
vuln
erab
ility
.
Ben
efi c
iari
es a
re p
eop
le w
ho
ar
e n
ot
capa
ble
of
mee
tin
g
thei
r ow
n b
asic
nee
ds,
usu
ally
d
ue
to y
ou
th, o
ld a
ge,
sic
knes
s o
r d
isab
ility
. In
-kin
d, v
alu
ed a
t U
S$
1.33
/ b
enefi
cia
ry p
er y
ear.
Lac
k of
info
rmat
ion
ab
ou
t se
lect
ion
cr
iter
ia a
nd
typ
es a
nd
am
ou
nts
of
hel
p g
oin
g t
o t
he
com
mu
nit
y; s
up
-p
ose
d t
o p
rovi
de
sup
po
rt q
uar
terl
y b
ut
in r
ealit
y as
sist
ance
is b
ased
on
av
aila
bili
ty o
f re
sou
rces
; ass
ista
nce
is
inad
equ
ate
and
has
lim
ited
rea
ch.
Low
an
d e
rrat
ic f
un
din
g
limit
s im
pact
- P
WA
S n
eed
s m
ore
par
tner
s to
incr
ease
su
pp
ort
to
tar
get
ben
efi -
ciar
ies.
No
tes:
UC
T =
un
con
dit
ion
al c
ash
tra
nsf
er; C
CT
=co
nd
itio
nal
cas
h t
ran
sfer
; SFW
= s
ubs
idy
or
fee
wai
ver;
PW
= p
ub
lic w
ork
s; A
BP
= a
sset
-bas
ed p
rog
ram
.
46 WOLFENSOHN CENTER FOR DEVELOPMENT
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ENDNOTES Defi nitions of “scaling up” range from simple “ex-
pansion” in membership, participants, or targeted
individuals, to more diverse meanings covering
organizational complexity, expanded functional-
ity, and “intensifi cation” of activities regardless
of size. The defi nition adopted here—of expansion
as well as transferability to other contexts—is ad-
opted for the reason that it encompasses much
of what is being debated within the international
development community, e.g., of enlarging small-
scale programs or of transplanting large-scale an-
tipoverty programs across geography.
Note that the effect of political regime-type on
pro-poor mobilization is unclear. Political-eco-
nomic models of democratic decision-making,
for example, assume that voters behave indepen-
dently (in spatial-voting models) or in groups (in
interest-group models), and politicians compete
for offi ce by offering policies or public goods (see,
e.g., Meltzer and Richard 1981; Persson and Ta-
bellini 2000). As such, it is commonly believed
that the poor may be better represented in de-
mocracies than non-democracies where politi-
cians do not compete for offi ce. Yet recent work
has demonstrated that the relationship between
democratic governance and pro-poor representa-
tion is not straightforward (Diamond 2004). In
non-competitive political systems, politicians also
secure their tenure with policies and public goods
targeted towards strategic individuals or groups
(Bueno de Mesquita et al. 2003). Populist dicta-
torships, for example, rely heavily on the mobili-
zation of the rural and urban poor for support.
That antipoverty programs can be politically mis-
used, however, does not constrain scaling up as
much as the effectiveness of LSAPs—in fact, that an-
tipoverty programs can yield political rewards may
encourage policymakers to increase their scale.
In-kind transfers could also be further divided be-
tween conditional and non-conditional programs.
1.
2.
3.
4.
There are some programs in which in-kind trans-
fers require recipients to undertake other actions
(e.g., part of the original PROGRESA program in-
volved nutritional supplements—an in-kind trans-
fer—in return for having children regularly attend
health clinics). Additionally, there are food-for-
work programs. All subsidies and fee-waivers, of
course, require individuals to consume specifi ed
goods (e.g., one cannot use food-stamps to pay
utility bills) in exchange for in-kind payments, but
these do not impose ex ante requirements on the
recipients.
For a summary of the role of cash transfers in so-
cial protection, see Tabor (2002).
Extensive reviews of the impact of microfi nance
operations can be found in Armendariz de Aghion
and Morduch 2005, Morduch, Hashemi, and Lit-
tlefi eld 2003, and Goldberg 2005.
These results are based on a probit model of
school attendance, assuming that cash trans-
ferred is pooled within families and distributed to
each member. Note that these simulations also
assume that low school attendance is a demand-
side problem, not a supply-side problem.
For a review, see e.g., Garfi nkel 1982; Kanbur 1987;
Sen 1995.
The Sri Lankan cash-transfer program also il-
lustrates some of the other failures cited in this
paper: Sumurdhi administrators have used the
program to create 36,000 patronage jobs for
their political supporters, and the program fails to
reach approximately 40% of the eligible poor.
Conning and Kevane note the staging of rallies,
the showcasing of labor-intensive activities, and
the use of resources to build “Potemkin” commu-
nity centers, all designed to mask the true inten-
tions of the elites involved.
Much of the following description is taken from
Mendizabal and Lavado 2005).
5.
6.
7.
8.
9.
10.
11.
54 WOLFENSOHN CENTER FOR DEVELOPMENT
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