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The Global Wheat Improvement System: Prospects for Enhancing Efficiency in the Presence of Spillovers

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Abstract

Through global analysis and country-level case studies, this report analyzes the efficiency of investments in wheat improvement research at a disaggregated level and explores a range of options for restructuring research programs to enhance efficiency. Particular attention is devoted to evaluating "spillovers" (i.e., benefits which flow from one program to another) that result from large research systems with the potential to exploit economies of size and scope. The impacts of such spillovers on both research productivity and research strategy are explored, as are the relative roles of international agricultural research centers (IARCs) and national agricultural research systems (NARS) in generating technology. The homogeneity of agroecological environments across developing countries is clarified and a megaenviornment classification system is described. The authors address the question of whether research managers should suppress genotype-by-environment (GxE) interactions and develop widely adapted varieties or exploit GxE interactions and develop specifically adapted varieties. Econometric evidence is presented to suggest that broadly adapted varieties may be more robust and create greater spillover than has previously been reported. Research costs and intensities in developing countries are shown to be of the same magnitude or higher than in industrialized countries because the former have a large number of scientists per research program combined with a smaller mandate area for each program. Evidence suggests that many countries or regions within a country are investing more than is economically justifiable in wheat improvement research, either because of the small size of their mandate area or because they could capture research spillins at lower costs-or, more commonly, both. A cost benefit framework is used to assess the threshold levels of wheat production in a mandate region required to justify a breeding program rather than a testing program. The results indicate that many research programs could significantly increase their efficiency by reducing their research programs and screening varieties developed elsewhere. A case study from India reveals that investment inefficiencies at the sub-national level have frequently been underestimated and that large nationally mandated programs have a comparative advantage in generating successful technologies across wide areas. A case study in Australia clarifies the role of spillovers in industrialized countries. The report has important implications at the conceptual level in the methods used for research evaluation and at the policy level for decisions on crop improvement research.

Suggested Citation

  • Unknown, 1999. "The Global Wheat Improvement System: Prospects for Enhancing Efficiency in the Presence of Spillovers," Miscellaneous Reports 233048, CIMMYT: International Maize and Wheat Improvement Center.
  • Handle: RePEc:ags:cimmmr:233048
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    Cited by:

    1. Dana Freshley & Maria Mar Delgado-Serrano, 2020. "Learning from the Past in the Transition to Open-Pollinated Varieties," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    2. Takeshima, Hiroyuki & Nasir, Abdullahi Mohammed, 2017. "The role of the locations of public sector varietal development activities on agricultural productivity: Evidence from northern Nigeria:," NSSP working papers 42, International Food Policy Research Institute (IFPRI).
    3. Takeshima, Hiroyuki & Maji, Alhassan, 2016. "Varietal development and the effectiveness of seed sector policies: The case of rice in Nigeria:," NSSP working papers 34, International Food Policy Research Institute (IFPRI).
    4. Heisey, Paul W. & Lantican, Maximina A. & Dubin, H. Jesse, 2002. "Impacts of International Wheat Breeding Research in Developing Countries, 1966-97," Impact Studies 7653, CIMMYT: International Maize and Wheat Improvement Center.
    5. Pal, Suresh & Byerlee, Derek R., 2003. "The Funding And Organization Of Agricultural Research In India: Evolution And Emerging Issues," Policy Papers 11870, National Centre for Agricultural Economics and Policy Research (NCAP).
    6. Dana G. Dalrymple, 2008. "International agricultural research as a global public good: concepts, the CGIAR experience and policy issues," Journal of International Development, John Wiley & Sons, Ltd., vol. 20(3), pages 347-379.
    7. Lantican, Maximina A. & Dubin, H. Jesse & Morris, Michael L., 2005. "Impacts of International Wheat Breeding Research in the Developing World, 1988-2002," Impact Studies 7654, CIMMYT: International Maize and Wheat Improvement Center.
    8. Krishna, Vijesh V. & Spielman, David J. & Veettil, Prakashan C. & Ghimire, Subash, 2014. "An empirical examination of the dynamics of varietal turnover in Indian wheat:," IFPRI discussion papers 1336, International Food Policy Research Institute (IFPRI).
    9. Unknown, 2002. "Cimmyt 2000-2001 World Wheat Overview And Outlook: Developing No-Till Packages For Small-Scale Farmers," Facts and Trends/Overview and Outlook 23725, CIMMYT: International Maize and Wheat Improvement Center.
    10. Kamanda, Josey & Birner, Regina & Bantilan, Cynthia, 2017. "The “efficient boundaries” of international agricultural research: A conceptual framework with empirical illustrations," Agricultural Systems, Elsevier, vol. 150(C), pages 78-85.
    11. Kamanda, Josey & Birner, Regina & Bantilan, Ma Cynthia S., 2013. "Strategic positioning of international agricultural research centres: Comparative advantage and trade-offs from a transaction cost economics perspective," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152160, Australian Agricultural and Resource Economics Society.
    12. Thirtle, Colin G. & Srinivasan, Chittur S. & Heisey, Paul W., 2001. "Public Sector Plant Breeding In A Privatizing World," Agricultural Information Bulletins 33775, United States Department of Agriculture, Economic Research Service.
    13. Ekboir, Javier, 2003. "Why impact analysis should not be used for research evaluation and what the alternatives are," Agricultural Systems, Elsevier, vol. 78(2), pages 166-184, November.
    14. Heisey, Paul W. & Morris, Michael L., 2002. "Practical Challenges To Estimating The Benefits Of Agricultural R&D: The Case Of Plant Breeding Research," 2002 Annual meeting, July 28-31, Long Beach, CA 19828, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Fernandez-Cornejo, Jorge, 2004. "The Seed Industry In U.S. Agriculture: An Exploration Of Data And Information On Crop Seed Markets, Regulation, Industry Structure, And Research And Development," Agricultural Information Bulletins 33671, United States Department of Agriculture, Economic Research Service.
    16. Jin, Songqing & Rozelle, Scott & Alston, Julian M. & Huang, Jikun, 2003. "Economies of Scale and Scope, and the Efficiency of China's Agricultural Research System," Working Papers 190903, University of California, Davis, Department of Agricultural and Resource Economics.
    17. Traxler, Greg & Byerlee, Derek, 2001. "Linking technical change to research effort: an examination of aggregation and spillovers effects," Agricultural Economics, Blackwell, vol. 24(3), pages 235-246, March.
    18. Michael Lipton, 2001. "Reviving global poverty reduction: what role for genetically modified plants?," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(7), pages 823-846.
    19. Pandey, Sushil & Pal, Suresh, 2007. "Are less-favored environments over-invested? The case of rice research in India," Food Policy, Elsevier, vol. 32(5-6), pages 606-623.
    20. Morris, M. L. & Heisey, P. W., 2003. "Estimating the benefits of plant breeding research: methodological issues and practical challenges," Agricultural Economics, Blackwell, vol. 29(3), pages 241-252, December.

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