Improving R4D at IITA
Dr Dave Watson
20th September, 2007
Ibadan, Nigeria.
The Techno-policy model of
agricultural development
Linear model of science-technology-development
Reductionist:
Superior technology = adoption
More profitable = adoption
Improved management practices = adoption
Enabling environment (research, development, policy, private sector, creditors, knowledge systems etc.):
Corporatist policy communities
Carrot (financial incentives)
Stick (mandatory requirements)
Well-defined and reasonably predictable impact pathways
What was deficient about this
model?
Nothing!!!!!!!!! – aside from significant
environmental, food safety and animal welfare
externalities etc.
Incredibly successful in Western Europe,
North America, Australia and New Zealand
Successful in much of S. America and Asia
IITA’s traditional role
A Linear Vision of Science: The traditional
CGIAR paradigm (based on Ekboir, 2001)
FarmersDevelopment &
extension agencies
Basic
research
Knowledge flow
Technology development Adoption
Formal research in established
CGIAR institutions (IITA)
Strategic
research
Applied
research
SSA?
What happened to the Green
Revolution in SSA? Key differences
Complex heterogeneous development contexts: One size didn‟t fit all
Disabling policy and institutional environment: Variable NAREs (some strong/some very weak)
Agricultural taxes (outputs and inputs)
Under investment in rural infrastructure
Limited private sector involvement/development
Limited access to credit and poor credit worthiness
Bio-physical: Soil fertility, soil erosion, soil structure
Low and erratic rainfall
Diverse range of pests and diseases
The case of SSA
Outcomes:
Many „superior‟ CGIAR technologies and practices remained on-the-shelf
Many „superior‟ CGIAR technologies were promoted but abandoned
Did SSA simply lack long-term financial and political support for agricultural development?
Structural Problems
Linear approaches to agricultural development were
not easily transferable to SSA:
1. Inherently „superior technologies/practices‟ …….
Do not spontaneously diffuse
Are not automatically adopted
Do not always lead to predictable agricultural/livelihood impacts
2. Individuals/small groups do not have the power to
determine a development/impact pathway
Changing rules of engagement
Changing donor relations
Demands for positive and quantifiable livelihood
impacts
Changing roles of traditional actors
CGIAR Centres moved down-stream
New actors entered (INGOs and LNGOs)
Impact and Accountability
Basic
research
Knowledge flow
Farmers
NAREs +
INGOs and
LNGOs etc.
Technology
development Adoption
Formal research in
CGIAR institutions (IITA)
Strategic
research
Applied
research
Positive
changes in
livelihoods
Impact
Non-linear approaches to science
and development
Growing acknowledgement of:
Complex problems with complex solutions
Many potential solutions for heterogeneous contexts
The need for multi-stakeholder partnerships
Innovation systems
Recognition that:
Success was highly dependent on performance of CGIAR partners and the suitability of new technologies to local contexts
Non-linear Vision of Science
Knowledge flow
Innovation systems that develop, or fail to
develop, solutions to identified context
specific problems
Researchers
in IITA
Impact
Farmers &
communities
Greater focus on
applied research
and knowledge
brokering
NAREs + INGOs
and LNGOs etc.
Positive &
negative changes
in livelihoods
?Answers Questions
Why the need for R4D?
What is R4D?
Research focused on providing solutions for
identified development needs
R4D is:
Demand (opposed to supply) driven
Responsive to changing needs/contexts
It evolves/adapts (new partners and approaches)
Judged by outcomes and not products
Current Strengths of IITA’s
R4D Approach
Widely endorsed:
FAO, World Bank, CGIAR, EPMR and many donors
Crop improvement and plant protection in mandate crops using “conventional” breeding and biotechnology tools
Yield potential
P&D resistance
Drought tolerance
Nutritional quality
High value crops
Agro-food systems/value chain approaches
Value-addition (processing and marketing etc)
Current Weaknesses of R4D
Approach at IITA Neglect of many traditional partners (NARs)
Biased towards development and the expense of research
Lack of key expertise in key areas
Focus on output markets at the expense of input markets
Natural resource management (particularly soil fertility management and soil degradation)
Analysis, synthesis and documentation of lessons learned from both past and present research activities
Too many bases to cover
Improving R4D at IITA (1)
Geographical Current focus on SSA is sensible:
Diversity of crops (current & potential)
Heterogeneity of development contexts
Heterogeneity of food and livelihood systems
Occurrence of poverty
Focus of donor investment
Africa wide focus for germplasm health and transfer
Most populous countries?
Greatest impact (numbers)
Neglect some of the poorest communities
Improving R4D at IITA (2)
What should IITA focus on?
Key food systems/value-chains & improvements in
subsistence-based livelihoods
Systematic assessment (actual & latent opportunities)
Proactive – rather than reactive – interventions
Scaling-up successful pilot interventions
Outcome Mapping and Case Studies
Planning, re-adjustment and institutional learning (internal)
Best practices and principles (external)
Improving R4D at IITA (3)
Why focus on food system/value-chain
activities? Development
Greatest potential to unlock market-based opportunities
Productivity & competitiveness of poor producers
Value-addition
Marketing
Potential spill over into local economy
Research
Learning important lessons from pilot and up-scaling activities
Sustainable natural resource management
Improving R4D at IITA (4)
Why focus on subsistence-based livelihoods? Development
Increased food security (quantity and quality)
Improved natural resource management
Research
Learning important lessons
Better understanding and characterisation of:
Complex livelihood systems
Vulnerability, poverty and food insecurity
Sustainable natural resource management
Improving R4D at IITA (5)
With whom? Strong multi-stakeholder partnerships with:
ARIs – knowledge brokering
The private sector: Knowledge brokering (corporate)
Critical investments for sustainability (corporate and SMEs)
Value-chain expertise (corporate - including monitoring & evaluation)
Key in exit strategy (corporate and SMEs)
INGOs, LNGOs, CBOs, producer, processor and retail groups –extension and PTD
NAREs – R&D, extension and PTD
Donors – (bi-directional alignment of IITA and donors‟ priorities)
Policy-makers (bi-directional alignment of IITA and decision-makers‟ priorities)
Improving R4D at IITA (6)
How to work with internal colleagues & partners? Action-research mode
Innovative Partnerships (new partners and new ways)
Learning Alliances (creating and brokering knowledge for
innovation)
Systems-based approaches
Food & farming systems analysis (holistic-integrated-dynamic)
Value-chain analysis
Simultaneous (multi-partner and multi-node) interventions
Innovation Systems
Actor Network Theory (ANT)
Understanding interactions and outcomes
Cassava Food Systems
Interventions: An example
What does IITA aim to achieve?
Market-based Consumption
Value-
addition
through
processing
Increased
productivity,
competitiveness,
profitability and
stability of
cassava
production
Increased
income for
commercial
cassava
processors
Increased
income for
commercial
cassava
producersSubsistence
cassava
producers & the
displacedAgronomy
Improved
cassava
processing
&
marketing
Cassava
Breeding
Biotechnology
Food
Security
Processed cassava Fresh cassava
Sustainable NRM
Policy
advocacy
Donor
advocacy
Private
Sector
Partners
NARES
Partners
ETC.
IITA
Conclusions
“Work with whoever it takes to get the job done!”
What can be done and with whom?
Strategic focus!!
Opportunistic?
How best to do it?
Action research (food or livelihood systems framework)
Experiment, learn, reflect and refine
Communicate lessons (good and bad)
Communicate principles and best practices
Thank You
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