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Diffusion and spillover of new technology: a heterogeneous-agent model for cassava in West Africa

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  • Michael E. Johnson
  • William A. Masters
  • Paul V. Preckel

Abstract

Understanding what determines the geographic spread of innovations can help guide the funding and implementation of research and extension programs. Our approach uses household survey data as model parameters, to simulate behavior across the entire surveyed population and avoid the aggregation bias associated with representative-farm models. Such a "heterogeneous agent" approach allows us to infer the distribution of a technology's impacts across one set of households, and predict the potential for spreading to another set that shares similar characteristics with respect to natural resource endowments and farming systems. We apply the technique to new cassava varieties in West Africa, finding a strongly poverty-alleviating impact, with substantial spillover potential from Nigeria to neighboring countries. Copyright 2006 International Association of Agricultural Economists.

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Bibliographic Info

Article provided by International Association of Agricultural Economists in its journal Agricultural Economics.

Volume (Year): 35 (2006)
Issue (Month): 2 (09)
Pages: 119-129

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Handle: RePEc:bla:agecon:v:35:y:2006:i:2:p:119-129

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Cited by:
  1. Bumb, Balu L. & Johnson, Michael E. & Fuentes, Porfirio A., 2011. "Policy options for improving regional fertilizer markets in West Africa:," IFPRI discussion papers 1084, International Food Policy Research Institute (IFPRI).
  2. Johnson, Michael E. & Benin, Samuel & You, Liangzhi & Diao, Xinshen & Chilonda, Pius & Kennedy, Adam, 2014. "Exploring strategic priorities for regional agricultural research and development investments in southern Africa:," IFPRI discussion papers 1318, International Food Policy Research Institute (IFPRI).
  3. Liangzhi You & Michael Johnson, 2010. "Exploring strategic priorities for regional agricultural R&D investments in East and Central Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 177-190, 03.
  4. Rudi, Nderim & Norton, George W. & Alwang, Jeffrey Roger & Asumugha, Godwin N., 2010. "Economic impact analysis of marker-assisted breeding for resistance to pests and post harvest deterioration in cassava," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 4(2), June.
  5. Komarek, Adam M. & Waldron, Scott A. & Brown, Colin G., 2012. "An exploration of livestock-development policies in western China," Food Policy, Elsevier, vol. 37(1), pages 12-20.
  6. He, Lixia & Horbulyk, Theodore M., 2006. "Policy Instruments and Agricultural Water Allocation in the Bow River Basin of Southern Alberta," 2006 Annual meeting, July 23-26, Long Beach, CA 21240, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  7. Takeshima, Hiroyuki, 2009. "Sensitivity of welfare effects estimated by equilibrium displacement model: A biological productivity growth for semisubsistence crops in Sub-Sahara African market with high transaction costs," IFPRI discussion papers 936, International Food Policy Research Institute (IFPRI).

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