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)

       Formal research in established            Development &
                                                                    Farmers
          CGIAR institutions (IITA)
                                        SSA?   extension agencies



  Basic          Strategic      Applied
research         research      research   Technology development    Adoption


Knowledge flow
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



                                    NAREs +                    Positive
        Formal research in
                                   INGOs and     Farmers    changes in
      CGIAR institutions (IITA)
                                   LNGOs etc.               livelihoods


  Basic  Strategic       Applied    Technology
research research       research   development   Adoption   Impact


Knowledge flow
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


Researchers                               Farmers &        Positive &
                   NAREs + INGOs
  in IITA                                communities       negative changes
                   and LNGOs etc.
                                                           in livelihoods

Greater focus on       Innovation systems that develop, or fail to   Impact
applied research         develop, solutions to identified context
and knowledge                      specific problems


                   ?
brokering


Knowledge flow
    Answers                         Questions
Improving R4D at IITA
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?
Policy                  Market-based Consumption
  advocacy
                       Processed cassava           Fresh cassava

   Donor       Increased      Value-        Improved
  advocacy    income for     addition        cassava
              commercial     through       processing
                cassava     processing          &
    Private   processors                   marketing
    Sector                   Increased
               Increased
   Partners                productivity,                 Food
              income for
                                                        Security
   NARES      commercial competitiveness,
                cassava   profitability and
   Partners                 stability of
               producers
       ETC.                   cassava                     Subsistence
                 Cassava    production                      cassava
IITA             Breeding                               producers & the
                             Agronomy                      displaced

               Biotechnology             Sustainable NRM
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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Improving R4D at IITA

  • 1. Improving R4D at IITA Dr Dave Watson 20th September, 2007 Ibadan, Nigeria.
  • 2. 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
  • 3. 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
  • 4. IITA’s traditional role  A Linear Vision of Science: The traditional CGIAR paradigm (based on Ekboir, 2001) Formal research in established Development & Farmers CGIAR institutions (IITA) SSA? extension agencies Basic Strategic Applied research research research Technology development Adoption Knowledge flow
  • 5. 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
  • 6. 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?
  • 7. 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
  • 8. 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)
  • 9. Impact and Accountability NAREs + Positive Formal research in INGOs and Farmers changes in CGIAR institutions (IITA) LNGOs etc. livelihoods Basic Strategic Applied Technology research research research development Adoption Impact Knowledge flow
  • 10. 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
  • 11. Non-linear Vision of Science Researchers Farmers & Positive & NAREs + INGOs in IITA communities negative changes and LNGOs etc. in livelihoods Greater focus on Innovation systems that develop, or fail to Impact applied research develop, solutions to identified context and knowledge specific problems ? brokering Knowledge flow Answers Questions
  • 13. 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
  • 14. 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)
  • 15. 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
  • 16. 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
  • 17. 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)
  • 18. 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
  • 19. 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
  • 20. 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)
  • 21. 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
  • 22. Cassava Food Systems Interventions: An example What does IITA aim to achieve?
  • 23. Policy Market-based Consumption advocacy Processed cassava Fresh cassava Donor Increased Value- Improved advocacy income for addition cassava commercial through processing cassava processing & Private processors marketing Sector Increased Increased Partners productivity, Food income for Security NARES commercial competitiveness, cassava profitability and Partners stability of producers ETC. cassava Subsistence Cassava production cassava IITA Breeding producers & the Agronomy displaced Biotechnology Sustainable NRM
  • 24. 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