Estimates and implications of the costs of compliance with biosafety regulations for African agriculture
In: Genetically modified crops in Africa: Economic and policy lessons from countries south of the Sahara
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References listed on IDEAS
- Morgenstern, Richard & Harrington, Winston & Nelson, Per-Kristian, 1999. "On the Accuracy of Regulatory Cost Estimates," Discussion Papers dp-99-18, Resources For the Future.
- Odhiambo, Benjamin & Bergvinson, David & Mugo, Stephen & De Groote, Hugo, 2004. "Debunking The Myths Of Gm Crops For Africa: The Case Of Bt Maize In Kenya," 2004 Annual meeting, August 1-4, Denver, CO 19918, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Smale, Melinda & Zambrano, Patricia & Gruère, Guillaume & Falck-Zepeda, José & Matuschke, Ira & Horna, Daniela & Nagarajan, Latha & Yerramareddy, Indira & Jones, Hannah, 2009. "Measuring the economic impacts of transgenic crops in developing agriculture during the first decade: Approaches, findings, and future directions," Food policy reviews 10, International Food Policy Research Institute (IFPRI).
- Falck-Zepeda, Jose Benjamin & Yorobe, Jose M., Jr. & Manalo, Abraham & Ramon, Godfrey & Amirsuhin, Bahagiawati & Lokollo, Erna M. & Zambrano, Patricia, 2007. "The Cost of Compliance with Biosafety Regulations in Indonesia and The Philippines," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 9947, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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- Fiedler, John L. & Kilkuwe, Enoch M. & Birol, Ekin, 2013. "An ex ante analysis of the impact and cost-effectiveness of biofortified high-provitamin A and high-iron banana in Uganda:," IFPRI discussion papers 1277, International Food Policy Research Institute (IFPRI).
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KeywordsAfrica south of Sahara; Africa; biotechnology; Transgenic plants; Risk assessment; Economic aspects; Biosafety regulations; Biotechnological safety; socioeconomic development; Genetically engineered organisms; Genetically modified foods; Data collection; genetic heterogeneity; ex-ante impact assessment; Ex-post impact assessment; Developing countries; bt cotton; maize; banana; Agricultural research;
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