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Agricultural research spending must increase in light of future uncertainties

Author

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  • Cai, Yongyang
  • Golub, Alla A.
  • Hertel, Thomas W.

Abstract

Agricultural productivity depends critically on investments in research and development (R&D), but there is a long lag in this response. Failing to invest today in improvements of agricultural productivity cannot be simply corrected a few decades later if the world finds itself short of food at that point in time. This fundamental irreversibility is particularly problematic in light of uncertain future population, income, and climate change, as portrayed in the IPCC’s Shared Socio-Economic Pathways (SSPs). This paper finds the optimal path of agricultural R&D spending over the 21st century for each SSP, along with valuation of those regrets associated with investment decisions later revealed to be in error. The maximum regret is minimized to find a robust optimal R&D pathway that factors in key uncertainties and the lag in productivity response to R&D. Results indicate that the whole of uncertainty’s impact on R&D is greater than the sum of its individual parts. Uncertainty in future population has the dominant impact on the optimal R&D expenditure path. The robust solution suggests that the optimal R&D spending strategy is very close to the one that will increase agricultural productivity fast enough to feed the World under the most populous scenario. It also suggests that society should accelerate R&D spending up to mid-century, thereafter moderating this growth rate.

Suggested Citation

  • Cai, Yongyang & Golub, Alla A. & Hertel, Thomas W., 2017. "Agricultural research spending must increase in light of future uncertainties," Food Policy, Elsevier, vol. 70(C), pages 71-83.
  • Handle: RePEc:eee:jfpoli:v:70:y:2017:i:c:p:71-83
    DOI: 10.1016/j.foodpol.2017.06.002
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    Citations

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    Cited by:

    1. Pedro Naso; Ozgun Haznedar; Bruno Lanz; Timothy Swanson, 2021. "Food Security in the Long-Run:A Macroeconomic Approach to Land Use Policy," CIES Research Paper series 71-2021, Centre for International Environmental Studies, The Graduate Institute.
    2. Wei Wang & Chongmei Zhang & Yan Guo & Dingde Xu, 2021. "Impact of Environmental and Health Risks on Rural Households’ Sustainable Livelihoods: Evidence from China," IJERPH, MDPI, vol. 18(20), pages 1-15, October.
    3. Naso, Pedro & Lanz, Bruno & Swanson, Tim, 2020. "The return of Malthus? Resource constraints in an era of declining population growth," European Economic Review, Elsevier, vol. 128(C).
    4. Yury Dranev & Maxim Kotsemir & Boris Syomin, 2018. "Diversity of research publications: relation to agricultural productivity and possible implications for STI policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1565-1587, September.
    5. Naso, Pedro & Haznedar, Ozgun & Lanz, Bruno & Swanson, Tim, 2022. "A macroeconomic approach to global land use policy," Resource and Energy Economics, Elsevier, vol. 69(C).
    6. Uris L. C. Baldos & Thomas W. Hertel & Frances C. Moore, 2019. "Understanding the Spatial Distribution of Welfare Impacts of Global Warming on Agriculture and its Drivers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1455-1472, October.
    7. Uris Lantz C. Baldos & Keith O. Fuglie & Thomas W. Hertel, 2020. "The research cost of adapting agriculture to climate change: A global analysis to 2050," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 207-220, March.
    8. Matin Qaim, 2020. "Role of New Plant Breeding Technologies for Food Security and Sustainable Agricultural Development," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(2), pages 129-150, June.
    9. Christopher B. Barrett, 2021. "Overcoming Global Food Security Challenges through Science and Solidarity," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 422-447, March.

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