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Recalibrating the reported returns to agricultural R&D: what if we all heeded Griliches?

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  • Xudong Rao
  • Terrance M. Hurley
  • Philip G. Pardey

Abstract

Zvi Griliches’ seminal analysis of hybrid corn spawned a large literature seeking to quantify and demonstrate the value of agricultural research and development (R&D) investments. The most important metric for quantifying the rate of return to R&D emerging from this literature is the internal rate of return (IRR), even though Griliches was sceptical of its usefulness as a metric in this context. An alternative metric, also reported by Griliches but not as commonly used in the subsequent returns‐to‐research literature, is the benefit–cost ratio (BCR). We assess how the implications of the returns to agricultural R&D literature may have differed if the BCR had become the standard rather than the IRR. We reveal that the IRR and BCR produce substantially different rankings of agricultural R&D projects, differences that persist even under various commodity and geographical aggregations of the BCR and IRR estimates. The median across 2,627 reported IRRs is 37.5 per cent per year. Using data gleaned from 492 research evaluation studies, we developed and deployed a methodology to impute 2,126 BCRs (median of 5.4) and modified internal rates of returns (MIRRs, median of 16.4 per cent per year) assuming a uniform 10 per cent per year discount rate and a 30 year research timeline.

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  • Xudong Rao & Terrance M. Hurley & Philip G. Pardey, 2020. "Recalibrating the reported returns to agricultural R&D: what if we all heeded Griliches?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 977-1001, July.
  • Handle: RePEc:bla:ajarec:v:64:y:2020:i:3:p:977-1001
    DOI: 10.1111/1467-8489.12388
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    2. Terrance M. Hurley & Xudong Rao & Philip G. Pardey, 2017. "Re-Examining the Reported Rates of Return to Food and Agricultural Research and Development: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 827-836.
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    5. Minot, Nicholas & Balie, Jean & Valera, Harold Glenn A., 2021. "Prioritizing yield-increasing crop research for poverty impact: An application of microsimulation in the Philippines," 2021 Annual Meeting, August 1-3, Austin, Texas 313976, Agricultural and Applied Economics Association.
    6. Kym Anderson, 2023. "Loss of preferential access to the protected EU sugar market: Fiji's response," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(3), pages 480-499, July.
    7. Kym Anderson & Anna Strutt, 2023. "From re-instrumenting to re-purposing farm support policies," Departmental Working Papers 2023-04, The Australian National University, Arndt-Corden Department of Economics.
    8. Thornton, Philip & Dijkman, Jeroen & Herrero, Mario & Szilagyi, Lili & Cramer, Laura, 2022. "Viewpoint: Aligning vision and reality in publicly funded agricultural research for development: A case study of CGIAR," Food Policy, Elsevier, vol. 107(C).
    9. Julian M. Alston & Philip G. Pardey & Xudong Rao, 2022. "Payoffs to a half century of CGIAR research," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 502-529, March.

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