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

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Ma

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i Kw

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a/kg

1990m1 1995m1 2000m1 2005m1 2010m1 2015m1months

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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