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Selecting sites to prove the concept of IAR4D in the Lake Kivu Pilot Learning Site

Author

Listed:
  • Farrow, Andrew
  • Opondo, Chris
  • Rao, KPC
  • Tenywa, Moses
  • Njeru, Rose
  • Kashaija, Imelda
  • Kamugisha, Rick
  • Ramazani, Michel
  • Nkonya, Ephraim
  • Kayiranga, Didace
  • Lubanga, Lunze
  • Nabahungu, Leon
  • Kamale, Kambale
  • Mugabo, Josaphat
  • Mutabazi, Sunday

Abstract

Selecting sites is an essential step in enabling the assessment of the impact of Integrated Agricultural Research for Development (IAR4D) in the Lake Kivu Pilot Learning Site. This paper reports on the process of identifying distinct administrative territories (sites) in which to establish innovation platforms and to monitor similar communities that are experiencing alternative agricultural research for development interventions. We show how the research design for the Sub- Saharan Africa Challenge Programme (SSACP) has been modified to take into account the key conditioning factors of the LKPLS without relinquishing robustness. A key change is the explicit incorporation of accessibility to multiple markets. Candidate sites were stratified according to the national political context, followed by good and poor accessibility to markets and finally according to security considerations and agro-ecology. Randomisation was carried out at all levels, although the need for paired counterfactual sites required the diagnosis of conditioning factors at the site level. Potential sites were characterised in terms of existing or recent agricultural research initiatives, as well as local factors that would have a direct effect on the success of interventions seeking to improve productivity, ameliorate the degradation of natural resources and enhance incomes through better links to markets. Fourteen sites were selected during the initial phase, and a further ten sites were added one year afterwards due to the need for more innovation platforms to test IAR4D. The site selection was successful in pairing action and counterfactual sites in terms of the baseline socioeconomic conditions of farming households. The unavoidable proximity of action and counterfactual sites, however, allows the possibility of spill-over effects and could reduce the measurable impact of IAR4D.

Suggested Citation

  • Farrow, Andrew & Opondo, Chris & Rao, KPC & Tenywa, Moses & Njeru, Rose & Kashaija, Imelda & Kamugisha, Rick & Ramazani, Michel & Nkonya, Ephraim & Kayiranga, Didace & Lubanga, Lunze & Nabahungu, Leon, 2013. "Selecting sites to prove the concept of IAR4D in the Lake Kivu Pilot Learning Site," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 8(3), pages 1-19, August.
  • Handle: RePEc:ags:afjare:160640
    DOI: 10.22004/ag.econ.160640
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    References listed on IDEAS

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    1. Lewis, David J. & Barham, Bradford L. & Zimmerer, Karl S., 2008. "Spatial Externalities in Agriculture: Empirical Analysis, Statistical Identification, and Policy Implications," World Development, Elsevier, vol. 36(10), pages 1813-1829, October.
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    3. Isabelle Baltenweck & Steve Staal, 2007. "Beyond One‐Size‐Fits‐All: Differentiating Market Access Measures for Commodity Systems in the Kenyan Highlands," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 536-548, September.
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    1. Perdomo, Silvia Andrea Pérez & Farrow, Andrew & Trienekens, Jacques H. & Omta, Onno (S.W.F.) & van der Velde, Gerben, 2017. "Testing the Effectiveness of Network Governance Mechanisms to Foster Ambidexterity of Agricultural Innovation Networks in East and Central Africa," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 8(2), March.

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