˘ ˇ ˆ · Cheetah Zambia offers paprika outgrower schemes in Chitina in Mkushi. According to the...
Transcript of ˘ ˇ ˆ · Cheetah Zambia offers paprika outgrower schemes in Chitina in Mkushi. According to the...
1
���������������������������������������������������������������� ��� ��� ��� �����������������������������������������������
����������������������������������������������������������������������������������������������������
2
3.0 DATA QUALITY ANALYSIS INCLUDING EFFECTS OF BIAS AND NON-RESPONSE
In this study non-response was not a problem in that all the households that were sampled responded. This is attributed to the fact that household lists were updated in all the nine villages just before sampling was done. The enumerators contracted for the survey were nine Agricultural Extension Officers who have worked 4 - 8 years in the areas. This offered a great advantage as to the nature of the questions asked and the enumerators familiarity with the area and the farmers. The drawback was their professional position, which way generate ideal/biased answers from the farmers. However, all the enumerators seemed to be aware of the risk for “professional” bias when this was brought up for discussion. In general terms therefore, the quality of the data can be described as good.
3
4.0 VILLAGE LEVEL RESEARCH QUESTIONS 4.1 Physical endowments and natural resources, market access (agricultural dynamism) The villages sampled for the study fall under two distinct regions as regards rainfall pattern. Mazabuka falls under zone II, which is a medium rainfall zone, and covers the sandveld plateau of Central, Eastern and Southern Provinces. Mkushi falls under Zone III, which covers the Northern part of the country and has the highest pattern of rainfall. This is confirmed by table 4.0, in terms of what has been experienced by the villages sampled as regards rainfall in the past three seasons. The village in Mazabuka experienced more drought than the villages in Mkushi which is further North. The soils in the two regions are fairly fertile and all belong to the “maize belt”. Due to prolonged drought in the recent past, Mazabuka is almost or slowly losing its status as a “maize belt” area. Table 4.0: Rainfall Conditions in the Past 3 Seasons
Season
Village Most recent season
Season before the most recent one
Two seasons before the most recent one
Region
Musakamba
below average
average
Above average
I
Musofu
average
above average
average
I
Kalombe
average
above average
below average
I
Chitina
drought
above average
drought
I
Nkumbi
average
above average
average
I
Dumba
drought
average
average
II
Oliver
drought
drought
average
II
Nameembo
drought
drought
average
II
Nega-Nega
drought
drought
average
II
The irregular pattern of rainfall in the past three seasons is a major hindrance to increased crop
productivity especially that none of the villages have any worthwhile irrigation infrastructure.
Despite the presence of water bodies, almost all of the irrigation is of the small-scale farmer
constructed, water control devices managed by individual households. The crops so irrigated are
mostly vegetables and small plots of maize meant for early harvest, just before the onset of the
rains. Apart from Nameembo, all the other villages have all weather roads, the major difference
4
is the distance to the major marketing centres/towns as tabulated in table 5.0.
Villages which are far from the major marketing centres (like Kalombe in Mkushi and
Nameembo in Mazabuka), face problems in getting access to both input and output markets. The
lack of regular public transport in any of the nine villages further hinders access to major market
outlets. This has a negative effect on technology adoption, yields and output market
participation, as farmers may not have the means to hire vehicles to ferry inputs in good time in
order to carry out their agriculture operations in time.
Table 5.0: Distance to Various Social/Economic Facilities by Village (kilometers)
Village
All weather
road
permanent
crop outlet
Town based and
Permanent
market
Permanent
electricity
mobile/per-
manent
telephone
Musakamba
10
10
10
10
10
Musofu
5
5
52
52
52
Kalombe
30
0
75
30
8
Chitina
12
0
48
12
12
Nkumbi
4
7
22
0
8
Dumba
5
15
25
2
2
Oliver
32
66
66
32
32
Nameembo
11
0
63
11
63
Nega-Nega
19
19
45
0
0
All villages sampled have open land frontiers, although in Mazabuka the frontiers are slowly
closing. Land is therefore not an hindrance to increasing area cultivated, by smallholder farmers.
4.2 State Initiatives
In the past i.e., before market liberalization, access to credit was almost assured by almost all
5
categories of farmers. Lima Bank, co-operative societies, the Credit Union and Savings
Association and indeed commercial banks among others used to advance credit to small scale
farmers. These institutions used to offer credit ranging from short term, medium term to long
term loans. The type and amount of loan depended on the collateral being offered by the farmer.
With the advent of market liberalization, the traditional lending institutions were either liquidated
or went under. As a response the government finally delivered credit although the Food Reserve
Agency (FRA) during the 1998/99 agricultural season. The involvement of the FRA in fertilizer
distribution has been widely seen as the agency going beyond its core business of managing the
nations grain stocks. Due to various reasons, access to credit by most small scale farmers has
drastically reduced. Farmers complain of unfavourable payment arrangements in kind. The FRA
normally provides commercial fertilizer and does not provide hybrid seed. This consequently
leads to low yields and low repayment rates. Fertilizers are always supplied late and not in the
required quantities. Sometimes top dressing fertilizer is supplied before basal dressing fertilizer.
Although all the camps in the study area are manned and some extension officers are equipped
with bicycles/motorbikes, extension coverage is low. This is because apart from lack of transport
facilities those who are luck to be equipped with bicycles or motorbikes are expected to take care
of all repairs and or fuel. This is indeed a very tall order, considering that the officers are poorly
paid and there is no way that they can afford to do this from their salaries. The result is that
extension coverage is very low as indicated in the Qualitative Evaluation. The camp officer in
Kalombe (Mkushi) is a classical case, the officer seemed detached from his job and all he waits
for is the pay cheque at the end of the month. The low extension coverage has a negative impact
on productivity, in that very few farmers are imparted with modern or other crop yield enhancing
techniques.
There are no input or transport subsidies in any of the nine villages, neither are there any
infrastructure developments. The marketing structure is liberalized in all the nine villages.
Unfortunately inputs are always sold at market prices, while output, especially maize is sold at
6
prices below the production cost. Non-Governmental Organizations like PAM, Care
International etc. provide starter packs, mainly for the disabled and the very poor.
4.3 Markets
All the nine villages have experienced a significant decline in the quantity of food crops
produced, access to markets of food crops has also declined. Private traders dominate the market
and since the government/cooperatives do not offer them any competition, farmers are always
being exploited, as they are offered below market prices. This tends to discourage farmers as they
feel that their duty is to work and enrich these private traders. Before market liberalization
agricultural markets were well organized through local cooperative societies and the then
National Agricultural Marketing Board (NAMBOARD). Farmers used to grow various crops and
productivity was high, as inputs were readily available. The market was always assured even in
the remotest of areas. The government, unlike no, made sure that rural infrastructure, including
roads was kept in good shape. In addition to the assured market, payment was almost prompt.
These conditions coupled with a conducive macro-economic environment was very attractive to
farmers and induced high production/productivity. The main interest of private traders is
purchase of produce and they are never involved in input supply. The government is trying to
revive co-operatives once again, but unfortunately the ones that are operational are formed on the
basis of input acquisition, and are not involved in any marketing of crops, leaving farmers to be
exploited by the private traders.
Apart from the government employed extension offices there are no private/NGO extension
providers. Even companies like Dunavant Cotton Limited and Clark Cotton Limited, who are
involved in cotton out-grower schemes do not have extension officers of their own. Instead they
sub-contract government extension officers. This obviously has a negative effect on the ability of
these extension officers to execute their duties effectively. Simple logic will assume that, they are
likely to sideline, the farmers who do not grow cotton, leading to a drop in
production/productivity of the other crops.
7
All the villages sampled do not have any local processing industries where they could be
employed in the off-season in order to supplement their incomes. Non farm income
opportunities are rarely available in Mkushi, inside or near the villages. Farmers basically depend
on agriculture for their livelihood. Apart from charcoal burning and beer brewing, there are no
other non-farm income opportunities inside or near the village worth talking about. The situation
in Mazabuka is slightly different in that non-farm employment opportunities are available near
the villages, on white commercial farms, although they get slave wages of between 0.30 cents to
US$1.0 per day.
As mentioned earlier Dunavant Cotton Limited and Clark Cotton Limited offer contractor
farming and outgrower schemes in cotton in all the villages in Mazabuka and Nkumbi in Mkushi.
Cheetah Zambia offers paprika outgrower schemes in Chitina in Mkushi. According to the
qualitative evaluation, the returns from cotton and paprika are decent and may enable farmers
save income and diversify or enhance the productivity of other crops by buying the necessary
inputs when they are required. Consumer goods are always sourced from the main town centres
and there are no market linkages and arrangements, in short farmers are left at the mercy of the
private traders.
4.4 Farmers
In the past co-operative societies or farmer organizations were more effective compared to now
when they are just involved in facilitation of fertilizer acquisition. Co-operatives in the past were
involved in the provision of inputs, purchase of produce, had consumer shops, had tractors for
hire, etc. In addition, cooperatives used to provide services to farmers on time. Potential co-
operative members had to go through a vigorous screening process. Currently, farmer groups are
formed for the sole purpose of accessing fertilizers. When it comes to marketing of produce,
farmers do not operate as a group, instead they sell their produce as individuals. This in effect
weakens their bargaining power and they end up being exploited. Under these circumstances
agricultural intensification is difficult to achieve in that the capital base of the farmers is either
minimized or eroded. The absence of credit facilities does not help matters either. There is no
8
party affiliation when it comes to joining farmer organization or groups. Everyone is free to join
the organization. Some farmer organizations have attempted to help in teaching their members
new farming methods, but have been unable to practice due to lack of inputs. This has had a
negative impact on agricultural intensification.
Land in Oliver, Dumba and most parts of Nega-Nega is on settlement schemes, and is secured
through settlement committees. In other words this land, is state land and to secure it one has to
apply through the district council. Successful applicants are issued with title deeds, which are
evidence of ownership. There is no discrimination in determining successful applicants, all social
strata have the same security. Immigrants/ethnic minorities, female headed households have the
same chances of securing land as male headed households. However, currently all the land in
these settlement schemes has been allocated. In settlement schemes, daughters are given land by
their parents.
In these settlement schemes, tenure insecurity is non-existent, in that occupants of a piece of land
are issued with title deeds. Even in the event of lack of agricultural activity, settlers are not
evicted from their farms. Widows are allowed to stay on such farms as long as they don’t marry.
In Nameembo, Musakamba, Nkumbi, Kalombwe, Musofu and other parts of Nega-Nega and
Chitina, land is secured in several ways in the sites visited. Most of the interviewees were living
in settlements and these were obtained from the local council which issued them with title deeds.
Those in the periphery obtain land from traditional authority. This is usually the case if they are
immigrants. Family allocation of land is a common phenomenon. Both males and females are
allocated land by their families although in most cases females are given very small portions on
the premise that they will get married and will have to access their spouse land thereafter.
Women often have user rights to land and get through inheritance. In some instances female
immigrants are given land by traditional authority but they have to fulfill certain conditions, e.g.,
they have to have children. Upon divorce and sometimes death of a spouse, a woman is sent back
to her family where she is given a portion of land. Effectively the most common way of accessing
9
land by women is through inheritance.
Tenure insecurity is caused by social vices such as witchcraft, bad community relations and
stealing. Amongst the Tongas, pursuing other people’s wives can result in loss of tenure security.
Although tenure insecurity may negatively affect productivity, it is encouraging to note that,
91.5% of the households feel that they have full control of the land they cultivate and do not
have to consult any other person in order to obtain permission for cultivation, change crops/land
use, for some or all of their land . In Mkushi land tenure is secured through allocation by the
chief or headman upon reallocation to the village. The traditional leadership decides on how
much land to allocate depending on availability, family size, potential for agricultural production
and origins of the settler.
Female headed households obtain land through the traditional leadership upon relocation from
another area. However allocation of land is often subjected to a lot of considerations and security.
One of the major deciding factors is if the woman has sons through whom land is entrusted. This
will also determine the size of land to be allocated. Daughters are apportioned land by their
fathers as long as they remain single and remain under control of their male kin. Upon marriage
they are expected to relocate to their husbands dwelling where they mainly have user rights and
not always and necessarily ownership rights.
Immigrants are allocated land by traditional authority and through village committees. The
origins of the immigrants determine how much land they will be allocated. In the last couple of
years there has been a high rate of migration by farmers from the southern province. These
farmers are renowned for their skills in farming and are therefore given big portions of land for
both crop production and for animal grazing. Due to the increased population, most villages are
reducing the size of land being allocated in order to preserve the remaining land. Ethnic
minorities are treated fairly and given land based on the same principle as the majority and
dominant ethnic groups. Upon allocation of land, a farm permit is issued. In the case of married
couples, the farm permit is issued to the man giving him both user and ownership rights.
10
Demand driven research systems are not available in all the 9 villages. However, there is
existence of some demand driven extension system, especially in crops grown on contract basis.
Equally there are no water management systems in any of the 9 villages. For crops grown on
contract or out-grower schemes (e.g cotton in Dumba, Oliver, Nega - Nega, Nameembo and
Nkumbi, paprika in Chitina), there are full credit packages advanced, the market is also assured.
In summary, production trends for crops grown on contract or out-grower schemes are driven by
market demand in that they fetch high prices and are profitable. This is the case with all cash
crops. However, production of food grains seems to be driven by population growth. Farmers
grow maize, cassava and sorghum in order to ensure households food security. As families get
bigger, households tend to grow more of the food grains.
The main factors constraining agricultural intensification in the nine villages is the low number
of farmers with access to hybrid seed, pesticides and chemical fertilisers. The absence of any
organized irrigation infrastructure in the presence of frequent droughts in recent years, also
constrains intensification. While a fair number of farmers practice fallowing, use of animal
manure in the absence of chemical fertilizers has been low due to loss of cattle to diseases. The
low access to oxen ploughing, as a result of oxen deaths also constrains intensification as
farmers are unable to carry out farm operations on time thereby affecting intensification.
11
5.0 HOUSEHOLD LEVEL RESEARCH QUESTIONS
5.1 Natural Resources and Endowments
During the most recent season, the average total cultivated area per household in the study area,
was 2.90 hectares, compared to 3.13 hectares for male headed households and 2.05 hectares for
female headed households. As regards farm expansion, land is not a limiting factor because data
shows that households are able to cultivate an extra 7.84 hectares if they want to increase area
cultivated. Male headed households seem to have more extra land which they can cultivate (8.33
hectares) compared to female headed household (5.87 hectares). The average cultivated area per
household of 2.90 hectares, in the most recent season is much higher than the national average in
1990/91 (1.17 hectares), 1995/96 (1.47 hectares) and 1999/00 (1.45 hectares). This can be
explained by the fact that the two study sites are traditionally “maize belt” areas, although
Mkushi is in a higher rainfall region compared to Mazabuka.
Tables 6 and 7 show average area cultivated, total production and yield for maize, cassava and
sorghum by sex of head of household and by region respectively for the most recent harvest,
one season before the most recent harvest and two seasons before the most recent harvest. It is
clear that on average in all cases , maize dominates the area planted, followed by sorghum and
then cassava. It is also clear that male headed households and Mazabuka region have a larger
area cultivated for each of the three crops over a three period. Comparing the size of the land
under maize, when the household was formed to the most recent season, it is apparent that, even
then maize was the most popular crop, in that 57.2% of the households feel that the size of land
under maize was larger when the household was formed, (See table 8).
12
13
14
Table 6: Average Maize, Cassava and Ssorghum area, production and yields for the most recent season, season before
the most recent and two seasons before the most recent harvest, by sex of household head
Maize
Cassava
Sorghum
Area
(ha)
Production
(kg)
Yield
(kg/ha)
Area
(ha)
Production
(kg)
Yield
(kg/ha)
Area
(ha)
Production
(kg)
Yield
(kg/ha) All small holders Male
Female
Total
1.62
1.02
1.50
1689
1063
1566
1043
1042
1044
0.31
0.22
0.29
407
389
404
1313
1768
1393
0.85
0.79
0.84
464
363
443
546
459
527
Table 7: Average Maize, Cassava and Sorghum area, production and yields for the most recent harvest, season before the
most recent and two seasons before the most recent harvest by region.
Maize
Cassava
Sorghum
Area
(ha)
Production
(kg)
Yield
(kg/ha)
Area
(ha)
Production
(kg)
Yield
(kg/ha)
Area
(ha)
Production
(kg)
Yield
(kg/ha)
15
Mkushi
Mazabuka
Total
1.01
1.93
1.49
1170
1905
1568
1158
987
1052
0.29
0.50
0.29
403
-
403
1390
-
1390
0.86
0.90
0.84
460
140
443
535
156
527
16
Table 8: Perceptions of Size of Land Under Maize when Household was Formed.
Sex of household head
Male
Female
Total
Did not grow maize at that time
0.7
1.0
1.7
Same
10.3
3.7
14.0
Larger then
45.0
12.3
57.3
Smaller then
23.3
3.7
27.0
The dominance of maize in terms of popularity is also evident in table 9, which shows the
percentage of households growing various crops in the most recent season and when the
household was formed. The pattern shown below has remained the same in that maize has
always dominated the other crops.
Table 9: Percentage of Farmers Growing Various Crops.
Crop
Last season
When household was
formed
Maize
84.9
91.4
Cassava
35.3
11.2
Sorghum
28.9
23.5
Cash crops, non-food crops
33.5
34.4
17
It is important to note that although there is dominance of maize in terms of area cultivated,
there has been a general increase in the area cultivated of cassava and sorghum. This can be
attributed to the fact that farmers are shifting towards the growing of drought tolerant crops in
view of the drought which has been experienced in recent years. The high price of modern
inputs, cited by 71.5% (55.9 % male and 15.6 % female headed households) of the
smallhoder farmers, as the major market factor constraining maize production for the market
has also contributed to diversification away from maize. In addition 64.1% (51.2% male
headed and 12.9% female headed households) of the farmers, cited lack of capital to buy
modern inputs as the main household factor constraining maize production for the market.
The fact that only 33.5% of the the farmers in the study obtained any form of agricultural
input credit for maize, has made farmers grow more of cassava and sorghum as they do not
require chemical fertilizers and are grown mainly for household food security requirements.
(see tables 28 and 31 for details).
Nevertheless the increase in the average area cultivated for cassava and sorghum has not
been complimented by increase in yields. Table 6, shows very low yields for maize, when in
theory an average farmer is capable of producing more than 2700 kg per hectare, if the
necessary requisites are in place. This is confirmed by the fact that 89.8% of all households
sampled feel that their maize yields have decreased from the time their households were
formed. The yields for cassava and sorghum are equally lower than the expected averages.
This also explained by the fact that 79.5% of the farmers who grow cassava feel that yields
have gone down since the households were formed, while 72.8% of the households feel
sorghum yields have gone down. The dilemma is that the Programme Against Malnutrition
(PAM) and other NGO’s have been promoting the growing of these drought tolerant crops,
using high yielding modern varieties and one would expect higher yields for these crops
compared to when households were formed. However, it is interesting to note that female
headed households compete fairly well with male headed households as regards yields for the
three crops. Infact, when you consider cassava yields female headed households have
performed better than their male counterparts, while yields for maize and sorghum are almost
at par with those for male headed households.
As indicated above, the two study regions do not have closed land frontiers, although there is
18
more land available for expansion in Mkushi than in Mazabuka. In other words land is not a
limiting factor to intensification. In addition, most of the land is on flat terrain or gentle
slopes and most of the soils are of average quality looking at natural fertility and suitability
for cultivation. According to qualitative data, rainfall conditions in the past two seasons
before the most recent season have been fair in Mkushi. The most recent season, however,
experienced drought. For Mazabuka, farmers experienced drought in the past three seasons in
general terms. The rainfall pattern clearly had an effect on the production and yields of crops.
Less than 7% of the farmers grow maize under irrigation and none for cassava or sorghum.
However, the area under maize so irrigated is insignificant. Although growing maize under
irrigation would help increase yields by enabling early planting the majority of the
smallholder farmers do not have the means to do this on a meaningful scale. The types of
crops grown in the study areas are all situated to those areas, although with drought becoming
common in the Southern part of the country where Mazabuka is situated , maize may not be a
wise option, as it is not drought tolerant, thereby affecting yields. Cassava and sorghum are a
better option. Unfortunately cassava in Southern Province is considered a “poor mans” crop
and has yet to become popular as a possible substitute to maize.
5.2 Labor Resources
On average there are four adult members (16 - 60 years old) in both male and female headed
households who are able workers and about the same number who are below 15 years. The
fact that almost all of them (16 - 60 years) do not regularly take on employment outside the
farm and are only involved in some kind of low income micro-business, means that they may
not be in a position to practice intensification as they are unable to have decent savings from
this. This is confirmed by the fact that only 37.3% of farmers interviewed are able to save
money for future needs. The major farming activities in the smallholder sector consisting of
land preparation, planting, weeding and harvesting start in November and end in June.
Family labour constitutes the major source of labour supply for farm households. In the
qualitative evaluation, demand for labour was found to be highest in December and January
when farmers had to finish land preparation and planting in order to start weeding. Demand
for labour was low from June to September/October because most farmers were not growing
19
anything at that time.
Although both female and male household members contribute to farm labour, the Qualitative
Evaluation, exposed important differences between what men and women do. Female
members undertake more activities than men. Weeding, for example, is mainly a female
activity. Women’s farm workload does not reduce after planting as is the case for men
because women are equally involved at the land preparation stage. After harvesting, it is the
women who shell maize and groundnuts in readiness for sale or storage. Farm activities must
be carried in tandem with non-farm activities such as household cores in the case of women
and house building in the case of men. Household chores, such as fetching water, must be
performed daily so that women’s workload is persistently high. Water has to be fetched from
distances as far as 5 kilometers in the dry season. It is for these demands, in addition to the
reliance on hand-hoes, that labour productivity is low. This coupled with the fact that the vast
majority of farmers have lost oxen/cattle, through corridor disease, means heavy reliance on
hand-hoes and hence reduced labour productivity, in that farmers cannot carry out their farm
activities in good time to give them a chance to achieve better yields. This is more so, with
the drought which is becoming a common feature, especially in the Southern part of the
country. Farmers who plant early stand a better chance of achieving reasonable crop yields.
However, the gendered division of labour, as well as women’s labour burden and the
presence of HIV/AIDS, imply a limitation to intensification unless labour demanding
techniques are introduced. The majority of households in the study (58.6%) do not
regurlarly hire farm labour, implying that they either have sufficient labour resources or the
cannot afford it, in order to expand cultivation at peak season.
As shown in table 10, some households (41.4%) are able to hire labour to help in farm
operations, especially land preparation (77.3%), weeding (60.6%) and harvesting (31.5%).
Most of the payments for hired labour are made in kind. It is clear from the table that more
male headed households hire labour for all operations than female headed households.
Overall, only 35.2% of male headed households and 6.5% of female headed households can
afford to hire labour.
Table 10: Percentage of Households Hiring Labour for Various Operations
20
Sale of Household Head
Male
Female
Total
Land Preparation
Watching Crops
Planting
Tending Livestock
Weeding
Transporting Crops
Fertilizing
Harvesting
Other
63.4
0.9
13.5
6.0
53.2
19.9
2.3
28.7
0.9
13.9
-
1.4
0.9
7.4
6.0
0.5
2.8
-
77.3
0.9
14.9
6.9
60.6
25.9
2.8
31.5
0.9
The advent of HIV/AIDS also reduces labour productivity in that, the attention given to the
sick, sometimes takes away labour for crops at critical times. Further, resources are equally
taken away to cater for the sick in terms of medicines, hospital fees etc.
5.3 Social Resources and wealth
The majority (44.4%) of the households in the study regions are very poor and 35.8% are
below average wealth, while only 15.8% have average wealth. This means that in the absence
of credit facilities or any other form of subsidy these farmers will not be in a position to
purchase their own agricultural inputs. This will ultimately lead to low crop yields, especially
where improved seed, fertilizer and other inputs are required. The fact that 62.7% of the
households sampled are unable to save some money for future needs is further testimony of
their inability to purchase inputs using their own cash.
Table 11, shows the sources of non farm cash income in the course of the past year. As can be
seen micro-business is the most common source of non-farm income. However, this is done
on a very small scale and whatever is realised is meant for daily survival and cannot pay for
agricultural inputs that are required. In addition the number of households involved in micro-
business is insignificant.
Table 11: Sources of Non-Farm Income, in the Course of the Past Year
21
Sex of household head
Male (%)
Female (%)
Total (%)
Non-farm salaried employment
9.3
1.5
10.8
Micro-business
10.4
1.5
11.9
Rent, Interest
0.4
-
0.4
Pensions
0.2
0.2
0.4
Remittances from absent household
members, children etc.
0.9
1.1
2.0
The ages of the farm managers range from 18 to 68 years, however, the majority of the farm
managers 76.6% are below the age of 55 years. In addition, only 10% of the farm managers
have not been to school, while 56.4 % have some form of primary education (up to 7 years
in school), 31.4 % have secondary education (up to 12 years in school) and 2.2 % have
college education (14 to 17 years in school). It should be noted here that, inspite of the
above statistics, the Qualitative Evaluation revealed that farmers have the skills required to
improve crop yields. The missing link is access to agricultural inputs and/or credit facilities.
The fact that the majority of the farm managers/decision makers are 55 years old or below,
means that age cannot be an inhibiting factor as far as improved agricultural intensification is
concerned.
5.4 Institutional Factors
Only 59.8% (48.9% male headed and 10.8% female headed households) of the farmers are
members of any local farmer organisation dealing with agriculture. This can have negative
effects in that apart from missing out on the latest yield improving technology, farmers who
are not members of farmer organisations are likely to miss out when it comes to acquiring
agricultural inputs. This is because the current agricultural policy is such that inputs are
channelled through established farmer organisations/cooperatives. This will obviously lead to
lower intensification. The fact that more female headed managers are not members of such
22
farmer organisations means that, such households are bound to have lower crop yields. Table
12 shows the percentage of households receiving extension advice from an extension staff
during last year. While 29.4% of the farmers never received any extension advice, 40.9%
received advice on a regular basis and 29.4% rarely received advice. This has obvious adverse
effects on intensification and crop yields. The fact that 59% of the households never/rarely
received extension advice is course for concern, if the country has to be self sufficient as far
as household food security is concerned.
Table 12: Percentage of Households Receiving Extension Advice from an Extension Staff During
Last Year.
Sex of household head
Male
Female
Total
Never
22.6
6.8
29.4
Rarely
22.6
7.0
29.6
Regularly
33.7
7.2
40.9
This is more so that only 7.2% of female headed households had regular access to extension
advice and yet women provided most of the farm labour.
The low levels of access to any form of agricultural input credit, especially for hybrid seed
and chemical fertilizers, at 33.5% (27.1% male headed and 6.4% female headed households)
also has a negative effect on crop yield. Under such circumstances farmers are forced to plant
traditional or recycled seed, which are low yielding. Worse still they may purchase and plant
hybrid seed and fail to apply chemical fertilizer because of the high cost and still experience
low yields, if they are lucky to get any harvest. In the absence of Chemical Fertilizers farmers
have the tendency to cultivate larger areas in the hope that the total production will be more,
without realising that the production per unit area is actually low.
At the beginning of the Agricultural Sector Investment Programme (ASIP) in 1996, or one
year after the land act was amended, 96.9% of small scale farmers had no title deeds to land
they occupied. Most of these were obviously in traditional land under customary land tenure.
The situation has not changed much since then. The main difficult is that traditional rulers are
23
still reluctant to consent titling of customary land. At the same time, ordinary farmers do no
see the need to hold titles to customary land. In the absence of other assets which can be
pledged as collateral when obtaining credit, as is the case with the majority of smallholder
farmers, land title can perform the same function. Infact most lending institutions prefer title
to land as collateral, especially in long term loans, to movable assets which can easily be
hidden in case of default.
Table 13, indicates the various ways in which land was first obtained in the village when the
household was formed. The majority of the households, 48% were allocated virgin land or
pasture, while 32.1% were allocated family land under fallow. In both cases male headed
households seemed to fair much better than female headed households.
Table 13: Percentage of Obtaining Land in Various Ways when Household was Formed
Sex of household head
Male
Female
Total
Allocated virgin land or pasture
39.1
8.9
48.0
Allocated family land under fallow
23.8
8.3
32.1
Inherited land already under cultivation
6.6
2.3
8.9
Purchased land
4.1
1.0
5.0
Borrowed or rented land
5.6
0.4
6.0
However 91.5% of the households feel they have full control of the land they cultivate and do
not have to consult any other person in order to obtain permission for cultivation, change
crops/land use, for some or all of their land. This sense of land tenure security is good for
intensification in that farmers will engage in capital investments if they can afford, in order to
24
enhance their crop yields.
During the most recent season 77.8% of households applied chemical fertilizers, of these
61.9% were male headed households while only 15.9% were female headed households (see
table 14). Although there is a high percentage of farmers using fertilizer, the quantity applied
on average is 180 kilogrammes per hectare, instead of the recommended 400 kilogrammes per
hectare. With this fertilizer application, the yields are likely to be low because the small
quantities are applied in abnormally minimal quantities over an extended area in an attempt to
produce more per total area, rather than per unit area.
The low quantities of chemical fertilizer applied is due to the fact that prices of modern inputs
have gone up, as cited by 92.2% of farmers in the study (see table 14). The high percentage of
farmers applying fertilizer in the most recent season is due to the efforts of NGO’s like PAM,
CARE International etc, who provide starter packs to farmers in order to try and alleviate the
high levels of poverty. As indicated in table
Table 14: Changes in Price of Modern Inputs (Fertilizers and Seeds) Since Household was Formed
Sex of Head of Household
Male %
Female %
Total %
No significant change
1.7
-
1.7
Prices have gone up
75.8
16.4
92.2
Prices have gone down
4.4
1.7
6.1
Table 15: Perceptions on Quantity of Fertilizer Used when Household was Formed
Sex of Head of Household
Male %
Female %
Total %
25
No difference
5.3
1.4
6.7
More than
45.1
11.5
56.6
Less than
22.5
4.8
27.3
No fertilizer applied at that
time
6.5
2.9
9.4
15, the majority of the farmers 56.6% feel they applied more fertilizer when households were
formed compared to now. The period referred to here could probably be the Pre-SAP period
when inputs were subsidised. No fertilizer was applied in Cassava and 92.7% of the farmers
did not apply fertilizer in Sorghum. As indicated in table 15, only 5.3% of households, 4.8%
male headed and 0.5% female headed applied pesticides on maize in the most recent season
while 5.7% applied pesticides when households were formed. Of these 5.0% were female
headed and 0.7% were female headed. Failure to apply pesticides in cases where hybrid seed
is used can have detrimental effects on yields in the event that the crop is affected by disease.
5.5 Market Orientation
The crops marketed include food staples, other non-food crops and vegetables, and non-food
cash crops. It is clear from table 16, that the sale of food staples is not a common source of
cash income. The implication here is that, the bulky of the food staples are retained for home
consumption as shown in tables 17, 18 and 19. Both male and female headed households
have the tendency to retain the bulky of their food staples for home consumption obviously
for household food security reasons.
Table 16: Sources of Cash Income in the Course of the Past Year
Sex of Head of Household
Male %
Female %
Total %
Sale of food staples
20.7
3.7
24.4
Sale of other food crops
54.2
12.4
66.6
Sale of non-food cash crops
24.6
4.3
28.9
26
Sale of animals/animal produce
15.9
5.6
21.5
Non-farm salaried employment
17.4
2.1
19.5
Micro-business income
25.0
3.5
28.5
Large-scale business income
0.4
0.2
0.6
Rent, interest
1.4
-
1.4
Pensions
0.6
0.2
0.8
Remittances
5.3
2.3
7.5
Table 17: Uses of Maize Following Most Recent Harvest (kg)
Sex of Household Head
Male %
Female %
Home consumption
813
415
Payment for hired labour
79
37
Sale
328
88
Other uses, (seed, animal feed,
brewing, gifts, storage, loses etc
91
80
Table 18: Uses of Cassava After Most Recent Harvest (kg)
Sex of Household Head
Male %
Female %
Home consumption
454
320
Payment for hired labour
60.13
-
27
Sale
79
9
Other uses, (seed, animal feed,
brewing, gifts, storage, loses etc
9
-
Table 19: Uses of Sorghum After Most Recent Harvest (kg)
Sex of Household Head
Male %
Female %
Home consumption
441
325
Payment for hired labour
15
22
Sale
40
60
Other uses, (seed, animal feed,
brewing, gifts, storage, loses etc
16
12
Other food crops and vegetables feature prominently on the market. These crops are
composed of mainly sweet potatoes, groundnuts and vegetables. The low sales of food staples
is also due to the poor production/yields experienced by the farmers.
The main market outlet for food crops are private traders, 86.3% for maize, 82.9% for cassava
and 84.2% for Sorghum. The fact that private traders tend to exploit farmers could be
discouraging them from growing these crops for scale, especially that there is no floor price
and in most cases the farmers have no choice but to sell at the price being offered. This is
worse for farmers in areas which are far from the main market centres and where roads are
almost impassable and transport is a problem. Examples of such areas is Nameembo in
Mazabuka. The state owned Food Reserve Agency, which is supposed to be the buyer of the
last resort, seems to have taken a backstage approach. In short farmers seem to have no
choice but to sell to these private traders at prices normally below the production cost. Tables
20,21 and 22 give an indication of crop specific market outlets. The farmer co-operative
organizations only play a very minor role in food staple marketing as evidenced in the tables
referred to below. These farmer co-operative organizations were formed, it seems, for the
28
sole purpose of facilitating farmers to acquire inputs. Little attention is given to how the crop
so produced is marketed.
Table 20: Main Market Outlet or Crop Deport for Maize
Sex of Head of Household
Male %
Female %
Total %
Former Cooperative organisation
5.1
1.7
6.8
Private Trader
73.5
12.8
86.3
State Company and Marketing
Board
0.9
-
0.9
Own Piecemeal Local Market
6.0
1.0
7.0
Table 21: Main Market Outlet for Cassava
Sex of Head of Household
Male %
Female %
Total %
Former Cooperative organisation
5.7
-
5.7
Private Trader
62.9
20.0
82.9
State Company and Marketing
Board
8.6
-
8.6
Own Piecemeal Local Market
2.9
-
2.9
Table 22: Main Market Outlet or Crop Deport for Sorghum
Sex of Head of Household
Male %
Female %
Total %
Private Trader
42.1
42.1
84.2
State Company and Marketing
Board
5.3
-
5.3
Own Piecemeal Local Market
10.5
-
10.5
29
The absence of powerful local traders equally offers no competition to private traders, who
are mainly from outside the area, leaving the farmers to be exploited.
The most common non-food cash crop grown in the study sited is cotton and in some cases
paprika. As shown in table 23, most of the cotton grown is on out-grower scheme or contract
farming basis. Dunavant Cotton Limited and Clark Cotton Limited are the main companies
who offer out-grower schemes in
Table 23: Households Growing Crops on the Basis of a Pre-arranged Contract with a Private
Trader by Crop
Sex of Head of Household
Male %
Female %
Total %
Maize
2.6
-
2.6
Cassava
-
-
-
Sorghum
-
-
-
Other food crops and vegetables
2.5
0.6
3.1
Non-food cash crops
61.3
14.7
76.0
cotton. The two companies contract out farmers, provide a full package of inputs for the crop
as well as the market. Results from the Qualitative Evaluation indicate that the farmers so
contracted are happy with what is offered to them so far. The only major complaint is that the
price of seed cotton/cotton seed is never made known in advance and as such farmers are
unable to make plans in advance. The fact that Dunavant and Clark cotton offer complete
packages make cotton growing very attractive to smallholder farmers, relative to crops like
maize, which attract lower producer prices. This enables farmers to have decent cotton
yields, adopt required technology and participate in the output market, and as shown in table
24, the sale of non-food cash crops is second highest after the sale of other food crops and
vegetables in terms of farm income sources. Qualitative data indicates that smallholder
farmers who are invoveled in cotton outgrowing use more inputs on food crops and tend to
be more productive in that they are able to purchase some inputs from the cotton surplus
income. However, qualitative data reveals that despite the fact that cotton outgrowing is
30
relatively more profitable, farmers expect a higher producer price than is currently being
offered.
Tables 25, 26 and 27 give an overview of the overall changes in access to market outlets for
maize, sorghum and other food crops and vegetables. While the other crops seem to be
picking up, access to market outlets since households were formed for maize, seems to be on
the decline.
Table 24: Farm Income Sources Generating Most Cash During Last Year
Sex of Head of Household
Male %
Female %
Total %
Sale of food staple
12.5
1.7
14.2
Sale of other food crops
39.0
9.8
48.8
Sale of non-food cash crops
24.0
4.2
28.2
Sale of animals/animal produce
5.9
2.9
8.8
This could be explained by the lack of a complete credit package for the crop, whereas crops
like sorghum, sweet potatoes etc. do not require fertilizers. The subsequent low yields in
maize reduces the access to market outlets, since most of the produce is retained for home
consumption.
Table 25: Changes in Access to Maize Market Outlets, Since Household was Formed
Sex of Head of Household
Male %
Female %
Total %
Same
1.7
-
1.7
Better now
17.8
4.1
21.9
Worse now
62.0
14.4
76.4
Table 26: Changes in Access to Sorghum Market Outlets, Since Household was Formed
31
Sex of Head of Household
Male %
Female %
Total %
No significant change
9.1
-
9.1
Better now
36.4
36.4
72.7
Worse now
18.2
-
18.2
Table 27: Changes in Overall Market Access for Other Food Crops and Vegetables Since Household was
Formed Compared to Now
Sex of Head of Household
Male %
Female %
Total %
No significant change
4.9
0.9
5.8
Better now
53.0
11.7
64.7
Worse now
24.1
5.4
29.5
The non-availability of farm inputs, in required quantities is a big drawback in the efforts of
farmers to increase their production/yields. Sometimes inputs are delivered late in the farming
season and with droughts becoming common of late, farmers find themselves on the losing
side as far as intensification are concerned. In extreme cases top dressing fertilizer is delivered
before basal dressing fertilizer and hybrid seed is advanced to farmers on credit without
accompanying chemical fertilizers whatsoever. This coupled with the fact that prices of
agricultural inputs have sky rocketed makes farming a hostile business. The combination of
these factors affect technology adoption, yields and participation in output markets negatively.
Opportunities for non-farm salaried employment, are a source of income for 19.5% of
households. However, more male headed households (17.4%) than female headed households
(2.1%) are engaged in non-farm salaried employment. Although these opportunities are
available as a source of income, the payments/salaries are mediocre and range from US30
cents to US$1.00 per day. Apart from the payments being too little, most of the engagement is
in the off-season and is meant to supplement or cater for household requirements, leaving
32
almost nothing for investment in farming. Field data from this study shows that, availability
of off-farm work can increase farm production, in that there is a positive correlation of 0.014,
between off-farm-work and farm production. This means that a unit positive increase in farm
work in terms of income, will lead to a positive increase in farm production by 0.014.
Tables 28,29, 30, 31, 32 and 33 indicate various crop specific market (economic) and
household factors constraining crop production for the market.
Table 28: Market Factors Cited for Constraining Maize Production for the Market
Sex of Head of Household
Male (%)
Female (%)
Total (%)
No constraints experienced
0.7
-
0.7
Low or fluctuating producer price
3.6
1.4
5.0
High transportation costs
0.2
-
0.2
Unreliable market outlet
5.9
1.8
7.7
High price for modern inputs
55.9
15.6
71.5
Modern inputs not available
4.1
0.7
4.8
Lack of credit facilities
8.8
1.4
10.2
Table 29: Market Factors Constraining Production of Cassava for the Market
Sex of Head of Household
Male %
Female %
Total %
No constraints experienced
39.1
10.9
50.0
Low or fluctuating producer price
1.6
1.1
2.7
33
High transportation costs
2.7
-
2.7
Unreliable market outlet
19.0
4.3
23.3
High price for modern inputs
8.7
1.1
9.8
Modern inputs not available
7.1
2.7
9.8
Lack of credit facilities
1.6
-
1.6
Table 30: Market-Related Factors Constraining Sorghum Production for the Market at Present
Sex of Head of Household
Male %
Female %
Total %
No Constraints Experienced
Lower or Fluctuating Producer Price
Unreliable Market Outlet
High Price for Modern Inputs
Modern Inputs not Available
Lack of Credit Facilities
20.3
2.2
19.6
20.3
12.2
2.0
6.1
2.0
2.7
6.1
6.1
-
26.4
4.7
22.3
26.4
18.3
2.0
Table 31: Household Factors Cited for Constraining Maize Production for the Market
Sex of Head of Household
Male (%)
Female
(%)
Total (%)
No constraints experienced
0.9
-
0.9
Household labour shortage
3.2
1.1
4.3
Farm labour too expensive to hire
2.7
0.2
2.9
Chronic illness in the family
0.5
0.5
1.0
Lack of land to grow crops or insecure
land tenure
1.1
0.2
1.3
Lack of knowledge about yield
improving farming techniques
0.2
-
0.2
34
Lack of capital to buy inputs e.t.c
51.2
12.9
64.1
Lack of capital for land preparation
19.3
5.9
25.2
Table 32: Household Factors Constraining Cassava Production for the Market
Sex of Head of Household
Male %
Female %
Total %
No constraints experienced
18.9
7.0
25.9
Household labour shortage
5.9
3.2
9.1
Farm labour too expensive to hire
4.3
0.5
4.8
Lack of land to grow crops or insecure
land tenure
2.7
1.1
3.8
Lack of knowledge about yield
improving farming techniques
1.6
-
1.6
Lack of capital to buy inputs etc
15.7
2.7
18.4
Lack of capital for land preparation
30.8
5.4
36.2
Table 33: Household Factors Constraining Sorghum Production for the Market at Present
Sex of Head of Household
Male %
Female %
Total %
35
No Constraints Experienced
Household Labour Shortage
Farm Labour too Expensive to Hire
Lack of Land to Grow Crops or
Insecure Land Tenure
Lack of Knowledge About Yield
Improving Farming Techniques
Lack of Capital to Buy Inputs etc.
Lack of Capital for Land Preparation
6.1
2.7
3.4
0.7
4.1
27.0
33.1
2.0
2.7
1.4
-
0.7
8.1
8.1
8.1
5.4
4.8
0.7
4.8
35.1
41.2
The high price of modern inputs came out prominent (71.5%) as a major economic constraint
for producing maize for the market. This is hardly surprising considering the high cost of
agricultural inputs. Interestingly in cassava production for the market, 50% of the households
did not experience any constraints. In sorghum the economic constraints were varied, the most
prominent being high price for modern inputs 26.4%. The household factors cited for
constraining maize production for the market are lack of capital to buy inputs etc. (64.1%),
lack of capital for land preparation (25.2%), among the most prominent. For cassava 25% of
the farmers did not experience any household constraints in cassava production for the market,
while 18.4% cited lack of capital to buy inputs and lack of capital for land preparation
(36.2%). Sorghum household production constraints for the market showed similar results,
lack of capital to buy inputs (35.1%) and lack of capital for land preparation (41.2%).
It is clear from the above, that lack of capital among smallholder farmers is a major hinderance
to intensification. Among the economic factors cited, the high price of modern inputs
dominated, as was the lack of capital to buy inputs/for land preparation. All these are related
to the wealth of the farmers, in that the study revealed that 44.4 % of the households sampled
were ranked as very poor, 35.8 % below average wealth, 15.8 % average wealth, 3.0% above
average wealth and only 1% very wealth.
Household factors outweigh economic factors when it comes to constraining crop production
for the market, in this study. In maize 71.7% of farmers feel household factors constrain
production for the market while 28.3% indicate economic factors. For cassava and sorghum
the trend is similar with 74.6% and 65.0% citing household factors, 25.4% and 35% citing
economic factors respectively.
5.6 Technology
36
The new technology promoted among traditional farmers in order to increase land productivity
are mainly use of hybrid seed and chemical fertilizer. Crop rotation, inter-cropping, fallowing,
animal manure, conservation tillage/breaking the hard pan, green manure/compost/residue
incorporation and soil and water conservation and other yield enhancing cropping practices
being encouraged. Farmers have been advised by the Ministry of Agriculture and Co-
operatives (MAC) about time of planting, type of seed to be used and fertilizer application
rates and methods since the 1980s. The changes which have taken place in the use of crop
production technologies are important for indicating transformation taking place in the
smallholder sector.
Table 34 shows the number of farmers using various cropping practices on maize in the most
recent season by gender, while tables 35, 36, 37 and 38 indicate the percentage of farmers
using various cropping practices for different crops in the most recent season and when the
household was formed. As can be seen farmers have always been aware of cropping practices,
both modern and traditional, including extended technology farming such as conservation
farming and irrigation which enhance their crop yields. Although, there are varying degrees of
use, the fact is that all that farmers need is to be provided with the required inputs, at the right
time and in adequate quantities and a conducive macro-economic environment and they will
achieve agricultural intensification. The decline in fertlizer application and increase in
conservation tillage and crop rotation seem to tally with liberalization and a more diversified
farming repertoire. The increase in hand hoe cultivation and decline in oxen ploughing
reflects the decline in cattle population in the 1990s due to disease. More farmers seem to be
using improved varieties of cassava now compared to earlier. Less farmers do intercropping
now compared to when hoseholds were formed. This could be due to the fact that, because of
continous cropping the soils have become depleted and farmers realise that intercropping may
have a negative impact on yield due to increased plant density, in the absence of chemical
fertilizers.
Table 34: Percentage of Farmers Practising Various Cropping Systems on Maize, Most Recent Season.
Sex of head of household
Male
Female
Total
37
Fertilizer application
61.9
15.9
77.8
Pesticides application
4.8
0.5
5.3
Hoe cultivation
38.4
11.2
47.8
Oxen ploughing
38.7
9.2
47.8
Tractor ploughing
2.3
-
2.3
Crop rotation
65.6
16.1
81.7
Inter cropping
12.0
2.3
14.3
Fallowing
40.8
10.4
51.2
Animal manure
12.7
2.3
15.0
Conservation tillage
19.7
3.4
23.1
Green manure/compost/residue incorporation
10.0
2.3
12.2
Soil and water conservation
3.4
-
3.4
Table 35: Percentage of Farmers Using Various Cropping Practices for Maize
Season
Practice Most Recent Season
When Household was Formed
38
Fertilizer application
77.8
90.7
Pesticide application
5.3
5.7
Crop rotation
81.7
78.7
Intercropping
14.3
19.6
Fallowing
51.2
51.9
Animal manure
15.0
30.5
Conservation tillage/breaking
the hard pan
23.1
9.1
Green manure/ compost/
residue incorporation
12.2
12.7
Soil and water conservation
3.4
3.9
Irrigation
6.4
4.7
Improved seed
12.8
10.1
Hybrid seed
61.6
66.7
Traditional seed
24.3
23.3
Hoe cultivation
49.7
21.3
Oxen ploughing
47.8
76.3
Tractor ploughing
2.3
2.4
Table 36: Percentage of Households Using Various Cropping Practices for Cassava
39
Season
Practice Most Recent Season
When Household was Formed
Fertilizer application
Nil
44.2
Pesticide application
1.2
7.3
Crop rotation
66.1
54.5
Intercropping
10.4
20.0
Fallowing
27.9
27.3
Animal manure
1.1
3.6
Conservation tillage/breaking the
hard pan
3.3
3.6
Green manure/compost/residue
incorporation
25.8
29.1
Soil and water conservation
2.2
Nil
Improved variety planted
14.2
7.1
Traditional variety planted
85.8
92.9
Hoe cultivation
97.3
83.6
Oxen ploughing
2.7
16.4
Tractor ploughing
Nil
Nil
40
Table 37: Percentage of Households Using Various Cropping Practices for Sorghum
Practice Most Recent Season
When Household
was Formed
Fertilizer application
nil
7.3
Pesticide application
nil
nil
Crop rotation
58.9
55.4
Intercropping
4.8
12.0
Fallowing
28.8
23.8
Animal manure
nil
6.0
Conservation tillage/breaking the
hard pan
nil
2.4
Green manure/compost/residue
incorporation
27.4
27.4
Soil and water conservation
0.7
1.2
Traditional seed
98.6
100
Improved variety
0.7
Nil
Hybrid seed
0.7
nil
Hoe cultivation
93.1
39.8
Oxen ploughing
6.9
59.0
Tractor ploughing
nil
12
Table 38: Percentage of Household Using Various Cropping Practices in Food Crops/Vegetable and Non-Food
Cash Crops
Other Food Crops/Vegetables
Non-Food Cash Crops
Irrigation
30.2
Nil
Chemical fertilizer
43.1
10.3
Animal manure
34.6
0.6
Green manure
1.3
0.6
41
Pesticides
43.2
74.9
Tables 39 and 40 contain average maize cultivated area and yields for farmers who practicised
conservation farming and those who did not in the most recent season, for Mkushi and
Mazabuka respectively. The results for Mkushi confirm that with or without the application of
chemical fertilizers, farmers who practicised conservation farming got higher yields than
those who did not. However, those who practicised conservation farming and applied
chemical fertilizers naturally achieved higher yields (1558 kilogrammes per hectare)
compared to those who practicised conservation farming but did not apply chemical fertilizers
(1068 kilogrammes per hectare). For Mazabuka, the results also confirm the above theory for
farmers who practicised conservation farming and did not apply fertilizer. There seems to be
a contradiction for Mazabuka, in that farmers who practicised conservation farming and
applied chemical fertlizers got lower yields (334 kilogrammes per hectare), compared to those
who practicised conservation farming but did not apply chemical fertilizers (802 kilogrammes
per hectare)
Table 39: Average maize cultivated area and yield statistics for farmers
practising/not practising conservation farming in Mkushi
With fertilizer
Without fertilizer
Average hectarage
Yield (kg/ha)
Average hectarage
Yield (kg/ha)
Conservation tillage No Conservation tillage
0.87 0.99
1558 1002
1.10 0.66
1068 985
Table 40: Average maize cultivated area and yield statistics for farmers
practising/not practising conservation farming in Mazabuka
With fertilizer
Without fertilizer
Average hectarage
Yield (kg/ha)
Average hectarage
Yield (kg/ha)
Conservation tillage No Conservation tillage
1.71 2.0
334 571
1.43 1.57
802 536
42
The rapid adoption of hybrid maize varieties was a response to fixed input and out producer
prices in the pre-SAP period. The profitability of maize production was ensured in that not
only were inputs made available by the government, but also resources (i.e. credit) to buy the
inputs as required. Although some have found production under the liberalized system
profitable, many among the small-scale farmers have not found maize production profitable in
the 1990s and beyond. The combination of high fertilizer prices and low maize prices,
especially at harvest, has made maize production uneconomic in some locations. Repayment
of loans for maize inputs has become virtually impossible for some households, especially in
those where no oxen are owned. The recent general fall-off in the use of improved maize seed
and commercial fertilizer, thus is partly a natural response to changed market conditions.
The use of improved maize seed and commercial fertilizer will be profitable only if the yields
are satisfactory. Good yield depends upon timely planting, good fertilizer application
practices, weed control, and control of insects and diseases. Insect and diseases can have a
major impact on the yield. White ants (termites), army worms, locusts, and the recently-
introduced large grain borer all represent potential hazards. Even if the yields are good,
marketing risks can reduce the returns per hectare substantially. The marketing risks include
lack of buyers, dishonest buyers who cheat farmers, low prices at harvest, storage losses due to
weevils or other factors, lack of bags for packing the maize, and numerous transport
difficulties. Improved maize does not store as well as traditional maize. Thus, attempts by
smallholders to store improved maize in the hope of obtaining a higher price may be frustrated
by storage losses or poor transport during the rainy season.
For those farmers able to cope with the production and marketing risks who are satisfied that
using the new technologies is profitable, the required inputs must be available locally if the
farmers are to purchase and use the new tools. Most of the seed and fertilizer were supplied in
the past through channels supported by the government. Late delivery of inputs was a
common complaint as was the delivery of inputs of the wrong type. Now, the complaints are
about the lack of private sector input suppliers and the lack of cash. Rural roads should be belt
or rehabilitated as a matter of urgency in order to enhance private sector participation in input
supply.
In summary, past efforts to increase yields among smallholder was directed on maize mainly.
43
Adoption of the new technologies in the early 1980s was very high because of official
subsidies on improved seed and commercial fertilizer. The use of these inputs has been
rendered uneconomic for many small-scale farmers because subsidies and cheap credit were
eliminated. The decline in use of the new technology, however, make the yield levels
achieved already difficult to maintain. The relevance of improved seed and commercial
fertilizer to traditional farmers has changed radically with the massive policy changes
introduced in recent years. While still appropriate for some traditional producers, this
technology will have more limited application than in the past. The new technology is likely
to have very limited relevance for households cultivating only enough to produce own food.
The key to raising land productivity among the smallholder may be with the cheaper
alternatives such as animal manure, green manure crops, crop rotations and weed control. All
these methods were used extensively in traditional cultivation but fell into disuse with the
introduction of subsidized commercial fertilizer. Extensive use of animal manure will depend
upon the recovery of the livestock sector, which has been severely hit by drought and diseases.
There is also an urgent need to vigorously re-introduce conservation farming which, by
restoring soil fertility through the use of previous crops residue as much, increase the organic
matter content. Conservation farming would lead to corresponding reduction in the need to
apply chemical fertilizers. Among the major benefits is that smallholders would become less
dependant on credit. The environmental benefits of using this kind of technology are equally
noteworthy because soil acidity may be avoided by less use of chemical fertilizer. This is
applicable not just to maize, but all crops. Tables 39 and 40 above confirm some of the
benefits of conservation farming. Despite its advantages, the qualitative evaluation revealed
that conservation farming tends to be labour intensive and with the decline in cattle population
due to disease and the advent of HIV/AIDS (which takes away labour, time and money to
attend to the sick), it is very difficult to cultivate large pieces of land especially that some
practices like potholing are done in the dry season. Lack of funds to hire labour for
conservation farming practices, among smallholder farmers, further limits the amount of land
which can be cultivated using conservation farming. It is worth noting that irrigation is a big
input in the seemingly success of other food crops and vegetables, as regards the fact that they
are the major source of farm income in the sampled households. The use of both chemical
fertilizer and animal manure in these crops is equally high.
44
6.0 STATE, MARKETS AND FARMERS RESEARCH QUESTIONS
6.1 State Interventions over the Pre-SAP, SAP and Post-SAP Periods
6.1.2 Productivity, Technology Adoption and Crop Marketing
Table 41 gives a summary of the productivity (yield) of maize, cassava and sorghum, during
the most recent harvest, before the most recent harvest and two seasons before the most recent
harvest. In addition, Table 42 gives a summary of the perceptions of farmers on yields, when
households were formed..
Table 41: Average Maize, Cassava and Sorghum Yields (Kilograms per hectare)
Most Recent Season
Before Most Recent Season
Two Seasons Before the Most Recent Season
Maize
838
1040
1224
Cassava
1454
421
223
Sorghum
509
618
481
Table 42: Perceptions on Yield Changes Since Households were Formed for Maize, Cassava and Sorghum
Yields Increased
Yields Decreased
Maize
10.2
89.8
Cassava
60.4
39.6
Sorghum
27.2
72.8
It is clear from the two tables that from the field data for the most recent season, before the
most recent season, and two seasons before the most recent season, the yield of maize per
hectare has declined. This is confirmed by the perceptions of the farmers on yield changes
since households were formed, in that 89.8% of them feel maize yields have declined, and
45
only 10.2% feel the yields have increased. The picture for cassava appears to be the opposite
in that field data indicates that there has been a significant increase in cassava yields from
223kg/hectare two seasons before the most recent season, to 1424 kg/hectare in the most
recent season. This is also confirmed by the perceptions of the farmers in that 60.4% think
cassava yields have increased since households were formed and 39.6% feel that the yields
have declined. For sorghum the picture is somewhat clouded in that, while field data shows an
increase in sorghum yields from 481kg/ha to 509kg per hectare between, two seasons before
the most recent season and the most recent season respectively, 72.8% of the farmers feel
yields have decreased since households were formed and only 27.2% feel the yields have
increased.
The reasons for the changes in the yields for maize, cassava and sorghum in the study period
are many, but are summarised in Tables 43 and 44 below.
Table 43: Reasons for Increase in Yields for Various Crops (Percentage)
Maize
Cassava
Sorghum
Access to new seed varieties
7.7
3.8
-
Chemical fertilizer
41
-
Mechanised land preparation
5.1
3.8
4.5
Irrigation
-
-
-
Conservation farming, improved tillage
5.6
30.8
77.3
Other
20.6
61.6
18.2
Table 44: Reasons for Decrease in Yields for Various Crops (Percentage)
Maize
Cassava
Sorghum
Poor seeds
3
11.1
-
Declining soil fertility
25.7
22.2
38.6
Increasing pests, weeds etc.
0.3
11.1
-
Inadequate or untimely land preparation
4.4
14.8
38.6
Untimely planting
0.6
-
-
Bad weather conditions
45.3
3.7
19.3
Other
20.7
3.7
3.5
At household level 45.3% of the farmers interviewed cited bad weather conditions as the
major reason for the decline in maize yields, compared to 3.7% for cassava and 19.3% for
46
sorghum. This result confirms that cassava and sorghum are more drought tolerant compared
to maize. Declining soil fertility was cited as a reason for decreased yields by 25.7% of maize
farmers, 22.2% cassava farmers and 38.6% of sorghum farmers.
The decline in maize yields since households were formed may also be explained by the fact
that, during the 1970s and much of the 1980s, agricultural products’ production levels
flactuated considerably and this was due to a host of reasons that included uneconomical
prices paid to the farmers, poor rainfall patterns and inefficient marketing systems. Increased
maize production during this period, was achieved at the expense of other food crops given the
government’s supportive bias in favour of the staple food. The SAP period told a similar story
since the notable gains in agricultural output during the 1980s and early 1990s, as the Ministry
of Agriculture lamented “... were primarily the result of land area expansion, with little growth
in productivity”. Furthermore taking population growth into account, per capita food
production declined. Additionally the gains realised were achieved at a very high cost to
government and there was little growth in agricultural exports.
The problem in the agricultural sector began to grow in the late 1970s as the impact
of the world recession upon the Zambian economy intensified. Since the country had
made little progress towards diversifying its economy away form mining, when the
copper price was halved in seven months in 1974-75, and continued to fall in real
terms for a further eight years, there were serious repercussions throughout the
economy, and the agricultural sector was not spared. The drastic decline in the
profitability of the copper mines, which had provided almost half of government
revenue in the early 1970s, led to a major cutback in government expenditure and to
a series of government cash-flow difficulties across the board. Similarly, the
reduction in overseas earnings from copper, which had provided 94 percent of the
country’s export, let to a persistent and devastating shortage of foreign exchange.
The above deteriorating conditions resulted in a progressive decline in maize
production, productivity and marketed maize during much of the period from 1976
until 1980. This saw Zambia move from a food surplus nation to a food importer,
necessitating more subsidies to maintain the low urban food prices. Consequently,
the country found itself in 1980 spending 19 percent of the government revenue on
agricultural subsidies, and 10 percent of its foreign exchange on food imports, a
47
highly intolerable situation in a country with serious foreign exchange difficulties.
The circumstances within which agricultural policies had to operate were worsened
by the Unilateral Declaration of Independence (UDI) in Rhodesia and the
international transport difficulties that this development caused; the oil crisis; and the
world recession. Internally, the lack of experienced manpower within the public
service proved to be a problem especially at policy-making and policy-implementing
levels. These difficulties were further exacerbated by the lack of government
commitment to the support of agriculture, which was exhibited by the under-spending
of the sector.
At the macroeconomic and agricultural sector level, during most of the pre-SAP period, the
agricultural policies set by the government provided a conducive environment for increased
productivity, through heavy subsidies. This may explain why farmers report that the
productivity of maize has declined since households were formed.
6.1.2.1 Pricing and Incentives
Table 45 presents a summary of perceptions of farmers on changes in produce prices since
households were formed compared to now, while Table 46 summarises the perceptions of
farmers on changes in overall profitability of various crops in the same period. The majority
of farmers feel the produce price of maize (55.4%), cassava (70.0%) and sorghum (91.7%),
was worse when households were formed compared to now. At the same time 88.9% of
farmers feel, overall, the profitability of cassava (88.9%) and that of sorghum (72.7%) is better
now compared to when households were formed.
Table 45: Perceptions on Changes in Prices of Produce Since Household was Formed Compared to Now (Percentage)
Maize
Cassava
Sorghum
No significant change
3.2
10
-
Worse then
55.4
70
91.7
Better then
41.4
20
8.3
Table 46: Perceptions on Overall Profit of Various Crops Since Household was Formed (Percentage)
Maize
Cassava
Sorghum
Same
6.9
11.1
-
Better now
41.5
88.9
72.7
Worse now
51.6
-
27.3
In the Pre-SAP period the producer price for the country’s staple crop (maize) continued
to be set by the government so that it remained the same throughout the country
48
(pan-territorial) and throughout the year (pan-seasonal). Started in the 1974/75 crop
season, uniform farm-gate floor prices were set for producers, according to the
government then, to ensure a ‘fair’ and ‘equitable’ compensation to all farmers.
Such uniform prices failed to recognise variations in transport costs. The government
fixed maize prices using four main criteria, namely, (a) production costs; (b) export
and import parity; (c) crop profitability; and (d) ‘fairness’ to both consumers and
producers. Of all these criteria, ‘fairness to consumers’ seemed to have been more
influential particularly in so far as the government aimed to appease the politically
charged urban-based consumers. Consequently, by trying hard to keep the
consumer prices low, the government actually succeeded in making producer prices
remain well below both import parity and free market prices. (See Table 45).
With respect to consumer price policies, it is worth observing that, for much of the
pre-SAP period, the government controlled the retail price of processed maize meal
(the more refined ‘breakfast’ meal and roller meal). To ensure that prices were kept
at controlled levels, a large proportion of marketed maize meal was sold through
state shops. The marketing of maize had also benefited from government subsidies
(marketing subsidies), initially through NAMBOARD and later through ZCF and the
provincial unions. Under the system, millers were able to procure maize at prices
that were closer to producer prices. The government also used to set into-mill price
for maize and ensured that the price was uniform throughout the country. The
budgetary implications of the heavy maize subsidies were significant. In particular,
between 1980 and 1990, maize subsidies ranged between 21 percent and 145
percent of the total budget deficit.
6.1.2.2 Crop Purchasing Policy
Data from the study indicate that cassava appears to be taking a prominent role
among food crops sold, in that more farmers (90.9%) report that they have sold more
of the crop since households were formed, compared to 9.0% for maize and 16.7%
for sorghum (see Table 47). This development indicates diversification away from
maize and maybe attributed mostly to the efforts of the Programme Against
Malnutrition which has been promoting the growing of improved varieties of both
cassava and sorghum, especially in drought prone areas, like the Southern Province.
Table 43, indicates that more cassava growers (70.0%) and sorghum growers
(91.7%), feel the prices of the two crops have increased since households were
formed. On the other hand, 55.4% of maize farmers feel the producer price of the
crop has gone up.
49
Table 47: Perceived Changes in Quantity of Crop Sold Since Households Were Formed Compared
to Now (Percentage)
Maize
Cassava
Sorghum
No Significant Change
4.5
9.1
-
More Sold Now
9
90.9
16.7
Less Sold Now
86.6
-
83.3
The above developments could also be attributed to the fact that in 1982, the
government announced new crop prices for the long-neglected traditional staples of
sorghum and millet, and for the first time created an official market for cassava. This
development herald a shift in crop purchasing policy away from maize as the
exclusive staple crop for official purchases and urban consumption. Another rationale
for the change in policy was the desire to increase food production as quickly as
possible from all sections of the farming community and so achieve self-sufficiency.
By encouraging the cultivation of crops, which are ecologically suited to the different
parts of the country, harvest fluctuations was expected to be reduced and more
regular and secure marketed food supply achieved.
6.1.2.3 Crop Marketing and Input Supply
Table 48 indicates the perceptions of farmers in the price of modern inputs (fertilizers
and seeds), since households were formed. The majority of maize farmers (92.3%)
feel the prices of modern inputs have gone up, while 50.0% of cassava farmers also
feel prices have gone up. However, it is the maize farmers who use more of the
modern inputs, who we should be concerned with. This is because in the Pre-SAP
period prices of modern inputs were kept artificially low due to heavy subsidies by the
government. In this environment it was possible to achieve intensification and
technology adoption because inputs were readily available.
Table 48: Perceptions on Changes in Price of Modern (Fertilizers and Seeds), Since
Household Was Formed (Percentage)
Maize
Cassava
Sorghum
No Significant Change
1.7
25
60
Prices Have Gone Up
92.3
50
40
Prices Have Gone Down
6
25
-
However, marketing and producer price policies during the pre-SAP period had a
serious adverse effect on the performance of the agricultural sector. The marketing
50
of most agricultural commodities were monopolised by the parastatal sector and
government-instituted co-operatives. Nitrogen Chemicals of Zambia Limited, another
parastatal, monopolised fertilizer production and importation. Seed marketing was
exclusively assigned to Zamseed, another parastatal. Overall, it was NAMBOARD
that possessed the virtual monopoly over most agricultural inputs. Moreover, for all
the controlled agricultural commodities, the government regulated both the
procurement and sale prices. Transport rates were also determined by the
government. Hence, in order to maintain uniform prices of controlled goods and
services, the government had to extend subsidies. It is a result of this that 76.5% of
maize farmers feel access to market outlets was better when households were
formed compared to now (see Table 49), because the farmers were able to
access/afford subsidized inputs and produce for the market.
Table 49: Perceptions on Changes in Access to Market Outlets Since Household was
Formed Compared to Now (Percentage)
Maize
Cassava
Sorghum
Same
1.7
100
9.1
Better Now
21.8
-
72.7
Worse Now
76.5
-
18.2
In the late 1970s, NAMBOARD was increasingly being criticised for inefficiency in
meeting farmers’ needs. Thus, it was stripped of its rural functions and left only with
national imports and exports, inter-provincial movement of crops and inputs, and
national and provincial storage. Its rural functions were handed over to provincial
cooperative unions and the Zambia Co-operative Federation (ZCF). This policy
initiative was reversed in 1985 when problems of corruption and inefficiency in
several provincial cooperative unions led to NAMBOARD resuming responsibility for
all stages in crop collection and input supply. In early 1986 and prompted by SAP-
induced liberalisation, major changes away from state control over marketing and
input supply were announced with the removal of NAMBOARD’s monopoly in these
activities. As a result, private trading in input provision and crop collection were
allowed alongside Namboard, in order to encourage efficiency and improved services
to farmers.
6.1.2.4 Agricultural Research and Extension
51
Table 50 gives the number of farmers planting various varieties of seed for maize,
cassava and sorghum when households were formed and in the most recent season.
It is clear that the user of hybrid seed was more widespread for maize (66.7%) when
households were formed compared to both cassava and sorghum where no hybrid
seed was planted at the time. During the most recent season the use of hybrid seed
in maize still dominated (61.6%) compared to that of sorghum (0.7%) and almost nil
for cassava. However, the use of improved cassava variety increased from
Table 50: Variety of Seed Planted for Various Crops (Percentage)
Most Recent Season
When Household was Formed
Traditional
Improved Variety
Hybrid
Traditional
Improved Variety
Hybrid
Maize
24.2
12.8
61.6
23.3
10.1
66.7
Cassava
85.8
14.2
-
92.9
7.1
-
Sorghum
98.6
0.7
0.7
100
-
-
7.1% when households were formed to 14.2% in the most recent season. In the
meantime the use of chemical fertilizer in maize was highest when households were
formed (90.7%), compared to the most recent season (77.8%). It is important to note
that because of the availability of input subsidies at the time, 44.2% and 7.3% of
cassava and sorghum farmers respectively, applied chemical fertilizers in their fields
(see Table 51). The increased use of hybrid seed and chemical fertilizer was
achieved through a deliberate government policy in trying to increase productivity
through technology adoption. Table 51: Number of Farmers Applying Fertilizer to Various Crops (Percentage)
Most Recent Season
When Household was Formed
Maize
77.8
90.7
Cassava
Nil
44.2
Sorghum
Nil
7.3
By developing improved technologies and imparting better farm management
practices, research and extension are critical in helping farmers raise their yield
levels. While many of policy reforms presented above were relatively sudden and
were clearly responses to the crisis in Zambia’s food supply, a number of changes in
agricultural research and extension occurred more slowly.
52
A number of changes in agricultural research and extension have occured since the Pre-
SAP period and include; the Lima Programme of 1977, the Adaptive Research Planning
Teams of 1978, the Extension Train and Visit Method of 1982, the Village Extension
Groups adopted in the 1990s. Accounting for 20 percent of the Ministry of Agriculture
budget in 1990 to 1994, agricultural extension operated under a ratio of 4.5 farm
households per extension worker.
Technologies suitable for smallholder farmers have been produced by the Research
Branch of the Ministry of Agriculture. The new technologies include the high-yielding
varieties of maize, sorghum, soyabeans and other crops designed to suit the various
agro-ecological zones. By promotion through extension, subsidies and favourable
prices (to small-scale farmers in outlying areas), the use of hybrid maize seeds
increased from 30 percent in 1985 to 57 percent in 1990. Zambia has one of the
highest adoption rates of hybrid varieties in east and southern Africa. The use of
hybrid varieties other than maize by the smallholders has been less widespread. The
value of improved seed for all crops, not just maize, is well understood and
appreciated by farmers. Thus lack of adoption may point to technology being
developed with little knowledge of farmers’ constraints. This particular difficulty could
be avoided by researchers obtaining feedback from the farmers.
The Farming Systems Research was established to help bridge the link between
research and the farmers. It is up to the researchers to be able to identify the most
important problems of the farmers and the technology appropriate to solving those
problems. Extension officers have always been recognised to make an important part
in the chain linking the farmers and the researchers. After more than 20 years since
establishment, however, the Farming Systems Research (FSR) has yet to improve
the link between research and extension. This is mainly due to the fact that
research/extension liaison still remains weak as little resources are available for joint
activities. In some areas FSR teams still remain weak.
6.1.2.5 Liberalization and Agricultural Productivity
Under SAP, the emphasis on the need for a minimalist state whose role was limited
to provision of infrastructure that would stimulate investment by the private sector
continued to be a major component of government strategy. Thus, the antipathy to
the role of the state led to the reduction in critical public expenditure outlays on
53
agricultural input subsidies, marketing boards and research and extension services.
The removal of subsidies and the introduction of cost recovery for agricultural
services have resulted in limited gains for a handful of smallholder farmers, a
deterioration of food security and declining income of the majority of poor farmers.
Notwithstanding the generally conducive environment for agricultural production, the
implementation of the presented policies still continues to compromise increased output
and diversification. At the policy facilitative level, the evident heavy politicisation and
unpredictability of government policy on agriculture has had its toll on the sector,
generally, and on smallholder farmers, in particular. The frequent political interventions in
the sector have in part given rise to the failure by the private sector to actively get
involved. The performance of the former Administration of Chiluba best illustrates the
magnitude - and price - of policy inconsistency. In particular, although the Chiluba
Administration had persistently maintained the SAP policy of liberalisation, there was still
policy instability at the level of implementation. In particular, although policy consistency
was much stronger at the level of output marketing, there was evidence that the
government was still having difficulties in the area of freeing input supply and credit
market development. Government interventions in inputs supply had tended to make the
private sector lose confidence in the government’s stated policy of retracting from this
area in preference for private sector entry. The government did interfere with agricultural
markets on a number of occasions during the entire period of SAP.
In almost all these interventions, the state cited the perceived weaknesses of the
private sector in meeting the special requirements of the smallholder farmer. And yet
evidence shows that the private sector, when properly facilitated, would show marked
potential. During the 1995/96 season, for example, the private sector alone financed
a minimum of US$150 million in the area of agriculture while the government’s
estimated financial outlay was only US$31.5 million. The private sector actually
accounted for around 80 percent of agricultural commodity purchases during the
1995/96 season, a good enough signal to the government regarding the
responsiveness of the sector. Additionally, private sector-led outgrower schemes
have continued to remain the main source of agricultural credit for small-scale
farmers in outlying areas.
Government intervention in fertiliser market is yet another policy area worth reflecting
54
upon. Each year since the economic reforms began, the government (both the former
and the current one) has intervened in supply markets by importing fertiliser. This is
done because the state believes that the private sector cannot adequately meet market
demand. It seems the government tends to under-estimate the capacity of the private
sector to bring fertiliser in sufficient quantities and has instead opted to use its agent in
the importation and distribution of the commodity. The government’s lack of confidence
in the capacity of the private sector has become a self-fulfilling prophecy in the sense
that its continuing involvement in the market despite market liberalisation has fuelled the
private sector loss of confidence in this activity and, hence, a good justification for further
government entry.
Against the above policy experiences, it is important that the government clearly re-
defines the roles of the public and private sectors in agriculture in a manner that
makes it clear as to their respective roles and functions - as well as their limits. In
such redefinition of the government policy framework, the starting point should be the
recognition of the limited nature of government input, which should be confined to
policy, legislation, regulation and co-ordination while direct intervention should be an
act of last resort under very special circumstances. Actual implementation of activities
should be left to the private sector and the beneficiaries themselves, mainly
smallholder farmers, including NGOs and CBOs. Moreover, in the definition of, and
support for, the private sector, the policy framework should make a clear distinction
between the category that provides development services (e.g. NGOs, Community
Based Organisations, etc.), on the one hand, and those that are engaged in
commercial activities, on the other.
Another important consideration regards unfettered liberalisation of the Market. With
respect to marketing, the failure to protect local produce from unfair competition with
cheap outside produce has also inhibited the smallholders’ productive capacity as their
produce can not compete favourably with outside products. Similarly, one consideration
that has scantly been recognised in interventions that target smallholders in outlying
areas regards the important question of regional differentiation. There is no single, fit-all,
appropriate institutional development or production model for all the regions of Zambia.
Policy makers and planners, however, often refer to smallholders and outlying areas as if
they were homogeneous. They have centrally allocated resources and used standard
implementation protocols with little regard to the variability of regions, agro-ecological
zones and differently-endowed communities and hardly an allowance is given for
55
possible shifts in resource demands during the course of a given intervention as a result
of, inter-alia, regionally-determined re-prioritisation. Everyone seems to agree that
differentiation between regions and within communities of the same regions ought to be
considered at the planning level and yet the planning and implementation modalities
hardly reflect this reality.
Another set of policy-induced constraints to smallholder productivity and intensification
regards the government’s marketing and pricing policies. The policy of liberalisation has
resulted in a constricted market for smallholders. Following the liberalisation of the
agricultural sector and the concomitant pull out of the state in the marketing and pricing
of farm produce, smallholder farmers have found it increasingly difficult to access market
for their farm produce. Consequently, local produce has often gone to waste thereby
forcing smallholder farmers to reduce on production and/or dispose off their products to
unscrupulous traders. The poor bargaining capacity of smallholder farmers has resulted
in non-cost-clearing disposal of their products. Coupled with the fragmentation of
smallholders due to non-existent farmer groups following the policy-induced collapse of
the cooperative movement in Zambia during SAP, smallholders have been unable to
determine the prices for their farm produce. The resultant low profit margins have
inhibited these farmers from increasing their agricultural productivity.
6.1.2.6 Infrastructure Constraints
The poor agricultural infrastructure has had a negative impact on the productive
capacity of smallholder farmers. The constraints include the following:
o State of rural roads: Table 5.0, gives a summary of the distances
to various social/economic facilities by village in the study areas,
which range from 4 to 30 kilometres. The vast majority of these
roads are not maintained and some like in Nameembo are
impassable in the rainy season. This picture is the same all over the
country in that feeder roads in almost all rural areas are in very poor
state and are hardly maintained to desirable standards. In the
qualitative evaluation many farmers perceived transport as the main
problem to their increased productivity as this implies that the supply
of the requisite inputs and the marketing of their outputs remain
constrained. The poor feeder road network has resulted into high
transport costs to the market and has also inhibited the private
sector from penetrating the outlying areas in order to conduct
56
business with smallholder farmers. Consequently, farmers have
found it increasingly difficult to dispose off their agro produce. To the
extent that market liberalisation enhances competition in the supply
of inputs and marketing of agricultural commodities, this would not
be effectively realised if the absence of a dependable feeder road
network continues to check the timely movements of inputs and
outputs.
o Farm Storage: Most smallholders use traditional storage structures
that are generally inappropriate in both quality and handling
capacity. Without reliable storage facilities, the degree to which
these farmers are integrated into the liberalised agricultural market
would continue to be checked.
o Electrification: In this study none of the farmers interviewed had
access to electricity. In general terms the vast majority of rural
farmers have no access to electric power. This utility is essential
particularly for farmers that are entering commercial scale of
production and getting integrated into the liberalised market.
Electricity also makes it easier for farmers to process their
commodities in a way that adds value which, in turn, improves the
income levels.
o Draught power: The study revealed that the majority of farmers lost
oxen/cattle through cattle diseases. The qualitative evaluation
revealed that before the 1990s farmers had a lot of cattle/oxen and
were thus able to carry out their farm operations on time to enhance
intensification. The picture has now drastically changed due to
cattle deaths, mostly due to corridor disease. In Mkushi only 7.5%
of farmers interviewed had oxen. The picture for Mazabuka was
slightly better in that 36.7 of the farmers had access to oxen.
However, the general picture countrywide is much more saddening
in that less than 10% of small scale farmers have access to oxen.
This development affects agricultural production in that regression analysis
has revealed that shortages in draught power and labour availability chiefly
explain small size of cultivated areas. As the 1996 ASIP Sector
Performance Analysis report noted, “…a unit change in the number of
57
draught animals used will increase total area planted under all crops by
0.75 hectares, while a marginal increase in labour would increase
production by 0.47 hectares.” It is, therefore, evident that a proportionate
increase in a farming household’s number of oxen would have a significant
positive impact in terms of raising the area cultivated.
o Limited access to irrigation facilities: The study revealed that
although most farmers are involved in some kind of irrigation in
growing crops, mainly vegetables, the majority (88.1%) of them use
small scale farmer constructed water control devices, managed by
individual households. Irrigation in such arrangements is done by
buckets and agricultural intensification is almost impossible. The
situation has remained the same throughout the Pre-SAP and Post-
SAP periods, in that there have been no large scale systems,
constructed and managed by supervillage organisations at district or
state level. In addition, there have been no small scale, farmer
constructed water control devices managed by associations of
households at local level.
As a result smallholder farmers rely heavily on rain-fed agriculture and this
has exposed them to natural calamities such as droughts. Similarly,
smallholder farmers do not engage in large-scale off-season agricultural
production due to inadequate irrigation facilities. This has resulted in low
land utilisation since farming is confined to only a few months in a year
during the rainy season.
6.1.2.7. Constraints to Agricultural Finance
Table 52 shows the number of farmers receiving some form of agricultural input
credit by sex of household head and region at present. Overall, only 33.5% of
farmers interviewed received credit, of these 27.1% were male headed households
and only 6.4% were female headed households. Mazabuka district had the highest
number of farmers obtaining some form of input credit at 22.7%, while Mkushi had
10.8%. The higher number of farmers Table 52: Number of Farmers Obtaining Some Form of Agricultural Input Credit by Sex
of Household Head and Region at Present (percent)
Received Credit
Did Not Receive Credit
Male
27.1
51.8
58
Female
6.4
14.7
Mkushi
10.8
45.2
Mazabuka
22.7
21.3
obtaining credit in Mazabuka could probably be due to the presence of more NGOs
in view of the drought which has persisted in Southern Province in the recent past.
During the qualitative evaluation, it clearly came out that in the Pre-SAP period the
majority of farmers had access to credit, compared to the SAP and Post-SAP
period.
The area of agricultural finance has been neglected in Zambia. Since independence
in 1964 up to the mid-1990s, the Zambian Government wrongly equated rural
financial services as necessarily the extension of credit to smallholder farmers,
mainly those in maize production. It was primarily this ‘maize worshiping’ by the
producers themselves that led the government to route very large volumes of highly
subsidised credit through the state-owned Lima Bank and different co-operative
financial institutions to smallholder farmers. In the early years after independence,
apart from the Agriculture Finance Company (later re-named Lima Bank), there was
also the Cattle Finance Company from which a number of cattle farmers benefited.
It was clear that little effort was made to explore how best to strengthen the
operations of private-led and/or community-based financial institutions. In fact,
political interference in cropping and marketing, expressed through frequent
amnesties for credit defaulters, resulted in the unsustainably low recovery rates. The
burden of subsidised agricultural credit was colossal by 1992, accounting for 15
percent of Zambia’s GDP, evidently an unsustainable development in the face of
the falling copper revenue. The subsequent collapse of state-sponsored lending
institutions such as the Lima Bank was clearly inevitable though hastened by the
post-1991 economic liberalisation. Everything that the then credit policy encouraged
was simply unsustainable. Deposit mobilisation, for example, was not part of the
strategy.
Following the liberalisation of the economy, in general, and the agricultural sector, in
particular, and the subsequent collapse of state run-agricultural lending institutions,
there have been no well established lending institutions providing timely, affordable
and adequate agro inputs. Despite the strategic importance the designers of the
Agricultural Sector Investment Programme (ASIP) placed on rural finance for
improving the output levels of private sector farmers, particularly smallholder
59
farmers, this sub-programme was never really commenced. The government
withdrawal of its support to agricultural financial institutions in the name of
liberalisation, complemented by the low rates of loan recovery by these traditional
credit institutions, has continued to cripple input supply. Less than 10 percent of all
smallholders have access to credit.
Whichever way one looks at it, the facilitation of rural finance seems to be at the
core of any meaningful strategy of empowering smallholders to steadily enter a
liberalised and commercialised agricultural sector and be placed in a better position
to meaningfully face the challenges of agricultural intensification. The haphazard
manner in which the Rural Finance Sub-programme has been developed (itself a
function of the failure of the donors, particularly the World Bank, that prescribed it to
provide the requisite resources) not only reveals the poor prioritisation of the ASIP
Sub-programmes relative to each other but, equally important, the somewhat
insufficient conceptualisation of how best to bring in the private sector and
community-based organisations/associations in the provision of the needed financial
services that are so strategic to empowering smallholders to produce for the market.
Notwithstanding the above, it is worth noting that outgrower schemes are expanding
at a considerable speed and the PRSP has identified them as one of the best ways
to address rural finance. But the sustenance of outgrower schemes in ameliorating
the input delivery problem of smallholders is greatly dependant upon improved
macroeconomic stability. There is also concern regarding the unequal power
relationship between smallholders and agribusiness in the outgrower arrangement.
The interviews during the course of this study revealed that conditionalities under
outgrower schemes are simply imposed on smallholder farmers on a “take-it-or-
leave-it” basis, a situation that is worsened by the low educational status of the
average smallholder farmer who does not understand such contracts. Similarly,
smallholders do not have the capacity to enforce compliance of the contract on the
part of the agribusiness ‘partner.’
6.2 Private Sector Roles and Initiatives Over the Pre-SAP to Post-SAP Period.
Table 53, gives a summary of the involvement of various players in the provision of
inputs, and extension services, in the Post-SAP period and beyond. It is encouraging to
note that with liberalisation and after Pre-SAP government dominance in the provision of
agricultural services, the private sector seems to be taking its rightful position in the
provision of agriculture services.
60
Table 53: Sources of Inputs and Extension Services for Various Crops (Percentage)
Source of Inputs (Sells/Provides)
Provision of Extension Services
Private
55
37.4
Government
67.2
88.9
NGO/Donor Project
66.9
55.4
Farmer Groups/Organisation
11.9
56.3
During the study, it was revealed that 55% of the farmers interviewed reported that they
got their inputs from private companies, compared to 67.2% from government and 66.9%
from NGO/donor projects. Only 11.9% of farmers acquired inputs from farmer
groups/organisations. The involvement of the private sector in the provision of
inputs/credit is a welcome development as government seeks to move away from direct
involvement, and only provide a supportive role in agriculture development.
However, the private sectors’ involvement in the provision/selling of inputs/credit is
restricted to crops grown under contract farming or out-grower schemes arrangements.
Table 24, gives a breakdown of the number of households growing various crops on the
basis of a pre-arranged contract with a private trader by crop. Only 2.6% reported
growing maize on the basis of a pre-arranged contract with private traders and 3.1%
indicated they grew other food crops and vegetables on the basis of a pre-arranged
contract. On the other hand 76% of farmers reported growing non-food cash crops,
mainly cotton, on the basis of a pre-arrangement contract with a private trader. From the
above, it is clear that the involvement of the private sector in increasing or enhancing the
productivity, and technology adoption in food crops is very minimal.
On the other hand, the involvement of the private sector in contract farming has been
growing at an astronomical rate, particularly for high value crops such as cotton, tobacco,
paprika and castor oil. Lonrho Cotton alone had 70,000 farmers contracted to it in the
1998/99 season, qualifying as being one of the largest out grower schemes in sub-Saharan
Africa. Other main contractors include privatized agro-processing firms in the oil seed,
dairy, meat, fruit and vegetable processing industries. Crude calculations would indicate
that at least 150,000 farmers, or 30% of smallholder farmers are now covered by contract
farming in one way or another.
61
Nevertheless, the emerging of contract farming has not been without problems. First,
contractors such as Lonrho Cotton that provided full-fledged extension services have
found this aspect too expensive and unsustainable. Second, perhaps related to the first,
the capacity of some firms has been inadequate and left disastrous consequences in the
process, as they fail to buy the product they contract farmers to produce, especially in
outlying areas. Third, the fall in world commodity prices in the last few years has resulted
into contractors failing to offer the farmer attractive prices. The low prices offered have
tended to induce farmers to sell their produce to other traders and eventually default on
their obligations. Lack of enforcement of the agricultural Credit Act mean that there is
little recourse to the law and the contractors merely blacklist the defaulters.
Aspects that show increased private participation include: (I) the emergence of private
sector led associations with the objective of promoting diversification into high-value
crops; (ii) contract farming covering at least 30% of smallholder farmers; (iii) the
emergency of a viable cottage seed multiplication industry; and (iv) successful
privatization of agro-processing industries that have increased their production capacity
and demand for agricultural products. To enhance private sector development, a number
of steps ought to be taken including:
• Stabilising the macroeconomy and removing liquidity problems that make long
term capital investment in the sector difficult.
• Revising the current tax regime in line with that obtaining in the region to help
agro-processing industries become more competitive.
• With the help of private sector, organisations such as Agri-Business Forum and
the Cooperative League of the United States (CLUSA), adopting a programme to
promote the formation of Rural Business Groups that would link farmers and the
private sector. Current efforts to form cooperatives on a mass scale without
careful consideration of group dynamics should be avoided.
Table 43, also shows the source of extension services for the farmers interviewed in the
study. It is clear from the table that the government is the major source of extension
services (88.9%), followed by farmer groups/organisations (56.3%) and NGO/donor
projects (55.4%). The private sector was only a source for 37.4% of the farmers. The
62
extension services provided by the private sector were mainly targeted at farmers growing
crops on contract arrangements, mainly cotton.
Due to the high costs involved, the participation of the private sector in providing
extension services to food crops in the Post-SAP period has been minimal as in the Pre-
SAP period. This is mainly because their main crops of interest are high value crops like
cotton and of late paprika and export fresh vegetables. As a result, their involvement
through provision of extension services in increasing productivity and technology
adoption in food crops can be described as insignificant, in both the Pre-SAP and Post-
SAP periods.
Table 54, indicates the main market outlets or crop depots for various crops. It is clear
from the table that the private sector has taken a leading role in providing a market for
farmers produce in the Post-SAP period compared to the Pre-SAP period. More than
80% of farmers reported selling their maize, cassava and sorghum to private traders.
Table 54: Main Market Outlet or Crop Depot for Various Crops (Percentage)
Maize
Cassava
Sorghum
Farmer Cooperative
Organisation
6.8
5.7
-
Private Trader
86.3
82.9
84.2
State Company and
Marketing Board
0.9
8.6
5.3
Own piecemeal local market
7
2.9
10.5
Less than 10% of the households reported selling any of the above crops to a state company
and marketing board. However, farmers complain of exploitation by private buyers, as in
most cases they are offered prices lower than the production cost. This makes farmers unable
to save money for future input acquisition to increase yields and increase participation in the
output markets. Technology adoption is also hampered because, as a result farmers cannot
afford the required inputs. Private traders are not involved in any local processing industries
in which small scale farmers would get employed in order to supplement their farm income,
for the purpose of purchasing inputs, in the absence of credit facilities. They equally do not
63
provide any worth while non-farm employment opportunities, apart from probably loading
produce onto trucks, which is insignificant.
In spite of their positive contributions, the private sector participation has been constrained by
the poor infrastructure (roads, communication facilities and electricity), macroeconomic
instabilities and continued Government policy inconsistency. Policy inconsistency has been
much stronger at the level of output marketing. The Government is still unable to cede
completely fertilizer supply to the private sector, often sending wrong signals to private
suppliers. Interventions that have undermined private sector confidence since ASIP
implementation began to appear to have been worst in 1996. These included an export ban
on maize, the handling of a debt relief for drought affected farmers, the sale of emergency
grain stocks, and Government’s participation in input supply. In 1997, Government largely
refrained from such interventions despite pressure to do so. However, the selling of fertilizer
through the Food Reserve Agency contrary to the organisation’s original mandate continues
to be a source of concern. Private firms through out grower schemes are playing an important
role in the supply of inputs and marketing of produce among small farmers and are becoming
an important way in relieving the access constraint of these farmers to farm inputs. They are,
however, worried about the disruption to the efficient operations of input markets by the
activities of the FRA.
Government policy inconsistency mainly arises from the political pressure that surrounds the
supply of fertilizer which is associated with the production of maize, whose production in
remote areas is unprofitable due to high transportation costs. It means that producing maize
in these areas with adequate use of fertilizer is unprofitable and any credit facility for
fertilizer supply linked to maize is unlikely to be sustainable. The challenge therefore, is
64
References
Chinene, V.R.N., 1999 Sector Performance Analysis of the Agricultural Sector
Investment Programme, Report prepared for the Ministry of Agriculture and
Co-operatives, Institute of Economic and Social Research, University of
Zambia, Lusaka.
Haantuba, H. and Wamulume, M., 1997 Factors Affecting Agricultural Production in
Zambia, Report prepared for the Ministry of Agriculture, Food and Fisheries,
Institute of Economic and Social Research, University of Zambia, Lusaka.
Kalinda H.K.C., 1997, Pre- ASIP Policy Analysis, Report prepared for the Ministry
of Agriculture and Co-opertives, Institute of Economic and Social Research
University of Zambia, Lusaka.
Kane Consultants and Rural Net Associates., 2003, Evaluation and Assessment for
Sector Performance Analysis of the Agricultural Sector Investment
Programme (ASIP), prepared for the Ministry of Agriculture and Co-
operatives, Lusaka.
Saasa Oliver., 2003, Agricultural Intensification in Zambia, the role of policies and
policy processes, Report prepared for Lund University of Sweden, Institute of
Economic and Social Research, University of Zambia, Lusaka.
Saasa Oliver, Dennis Chiwele, Foustin Mwape and John C. Keyser., 1999,
Comparative Economic Advantage of Alternative Agricultural Production
Activities in Zambia, Institute of Economic and Social Research, University of
Zambia, Lusaka.
Sipula, P.M., 1997, Agricultural Services and the Performance of the Smallholder
Sector: A Statistical Analysis, Report prepared for the Ministry of Agriculture,
Food and Fisheries, Institute of Economic and Social Research, University of
Zambia, Lusaka
Wamulume, M., 1999, District Key Performance indicators prepared for the Ministry
of Agriculture and Co-operatives, Institute of Economic and Social Research,
University of Zambia, Lusaka.
65