80 Impact evaluation of upgrading cassava value chains through post-harvest engineering and...
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80 Impact evaluation of upgrading cassava value chains through post-harvest engineering and processing
research-for-development in sub-Saharan Africa
J. Rusike, T. Abdoulaye, V. Manyong
OP 3.2.2: Impact evaluations of value chain-related interventions in RTB: cassava
processing• Conduct PIPA workshops, key informant interviews, and
focus group discussion; review literature• Carry out surveys of fabricator, processors and farm
households and Rapid Appraisal Value Chain Analysis• Map gender roles & relations; identify gender
inequalities & gender-based constraints; innovations to resolve gender-based constraints
• Data entry, cleaning and analysis• Write up and reporting• Dissemination
OP 3.2.4: Local capacity building for impact assessment of cassava value chain-related interventions
• Conduct workshops, seminars, training courses
• Carry out stakeholder workshops and policy dialogue fora meetings
• Conduct postgraduate student training
OC 3.2.1: Methods and guidelines from CRP2 used to improve value chain-related interventions
• Impact evaluation– Evidence of impact of development and dissemination
of point intervention to processing: Nigeria’s Cassava Agricultural Transformation Agenda; DRC’s Presidential Initiative; Tanzania’s MUVI projects
– Best practice methods for increasing impacts: nucleus farm-outgrower schemes; planting materials supply
– Policies for scaling up through private sector change agents (e.g. nucleus farmers, processors, replicable contracts)
OC 3.2.1: Methods and guidelines from CRP2 used to improve value chain-related interventions
• Local capacity building– Design for impact evaluation using RCTs: COMPRO,
Africa RISING– Local, national, regional Cassava Innovation
Platforms– Students theses
OC 3.2.1: Methods and guidelines from CRP2 used to improve value chain-related interventions
Impact• Increased productivity, quality and safety of the
products, profitability, employment, occupational safety and incomes for cassava machinery and equipment fabricators, processors and households
• lower food prices for urban consumers and net food buying farm households
• Capacity built improvement in business environment -> lower transaction costs
• Capacity built impact: increment in knowledge that generates new machinery/process designs
Linkages with other CRPs• Roots, Tubers and Bananas CRP
– Priority Setting: local level studies: refine the estimates of impacts of research options.
– Flagship: Raising incomes and improving the health and safety at small and medium cassava production centers, especially for rural women
• Humidtropics SRT3:– Models for scaling strategies of intensification
interventions -> focus on scalable change agents
SubsistenceHouseholds
RETAILERS
Vendors & InformalTraders
RuralAssemblers Processing
centers: chips
Small scale
Cassava improvement research, planting materials, fertilizers, farm machinery and equipment, cassava processing
Consumers
Fresh markets Wholesalers
ANIMAL FEED MILL
BAKERIES, SUPERMARKETS
FLOUR MILLS, HUMAN FOOD
MANUFACTURING
INDUSTRIALMANUFACTURING
INDUSTRIAL DISTRIBUTORS
Large scale: outgrowers
Consumers
Ethanol, starch,
sweeteners ExportsConsumption
Processing
Trade
Inputs
FarmProduction
Channel 1Subsistence production
& consumption
Channel 2Fresh marketed roots nearby/long distance
Channel 3Dried roots/chips for
direct human consumption
Channel 5Human food
manufacturing
Channel 4Animal feed
manufacturing
Channel 6Industrial
uses
Channel 7Chips for exports
Dried grain markets
Wholesalers
MILLERS
RETAILERS
Processing centers:
gari, HQCF
AGENTS
Poultry farmers
Processing plant
Processing
Tool’s progress: value chain
Tool’s progress: Value chain model of cassava industry development: globalization
Tool’s progress: Value chain model of cassava industry development: Globalization
Tool’s progress: Value chain model of cassava industry development: Globalization
-50
5Lo
g pr
ice
Mal
awi K
wac
ha/k
g
1990m1 1995m1 2000m1 2005m1 2010m1 2015m1months
logMzuzucasreal logMzuzumzreallogIntmzrealkwacha
Next steps• Implement surveys and build data bases• Validate tool: apply time series error correction
model to test hypotheses of liberalization and globalization and integration and Box Jenkins transfer function methods to test hypotheses of causality of planting materials/cassava processing on supply response
• Identify issues, best practices and policies• Publish communicate results