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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.

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  • Michael E. Johnson & William A. Masters & Paul V. Preckel, 2006. "Diffusion and spillover of new technology: a heterogeneous‐agent model for cassava in West Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 119-129, September.
  • Handle: RePEc:bla:agecon:v:35:y:2006:i:2:p:119-129
    DOI: 10.1111/j.1574-0862.2006.00146.x
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    1. Camara, Youssouf & Staatz, John M. & Crawford, Eric W., 2001. "Comparing The Profitability Of Cassava-Based Production Systems In Three West African Countries: Cote D'Ivoire, Ghana And Nigeria," Staff Paper Series 11593, Michigan State University, Department of Agricultural, Food, and Resource Economics.
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    Cited by:

    1. Nweke, Felix, 2009. "Controlling cassava mosaic virus and cassava mealybug in Sub-Saharan Africa:," IFPRI discussion papers 912, International Food Policy Research Institute (IFPRI).
    2. Lixia He & Theodore M. Horbulyk, 2010. "Market‐Based Policy Instruments, Irrigation Water Demand, and Crop Diversification in the Bow River Basin of Southern Alberta," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(2), pages 191-213, June.
    3. 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).
    4. 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, March.
    5. 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).
    6. Huaiyu Wang & Sushil Pandey & Lu Feng, 2020. "Econometric Analyses of Adoption and Household-Level Impacts of Improved Rice Varieties in the Uplands of Yunnan, China," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    7. Kumse, Kaittisak & Suzuki, Nobuhiro & Sato, Takeshi & Demont, Matty, 2021. "The spillover effect of direct competition between marketing cooperatives and private intermediaries: Evidence from the Thai rice value chain," Food Policy, Elsevier, vol. 101(C).
    8. 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).
    9. Schneider, Kate, 2021. "Nationally Representative Estimates of the Cost of Adequate Diets, Nutrient Level Drivers, and Policy Options for Households in Rural Malawi," 2021 Conference, August 17-31, 2021, Virtual 315035, International Association of Agricultural Economists.
    10. 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), pages 1-13, June.
    11. 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).
    12. Githiomi, Caroline & Muriithi, Beatrice & Irungu, Patrick & Mwungu, Chris M. & Diiro, Gracious & Affognon, Hippolyte & Mburu, John & Ekesi, Sunday, 2019. "Economic analysis of spillover effects of an integrated pest management (IPM) strategy for suppression of mango fruit fly in Kenya," Food Policy, Elsevier, vol. 84(C), pages 121-132.
    13. 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.
    14. Johnson, M., 2014. "Exploring strategic priorities for regional agricultural research and development investments in Southern Africa," IWMI Working Papers H046297, International Water Management Institute.
    15. Musumba, Mark & Zhang, Yuquan W., 2016. "Implications of Seasonal Price and Productivity Changes at the Household Level in Uganda - A Heterogeneous Agent Approach," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236282, Agricultural and Applied Economics Association.
    16. 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.

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