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Developing Long-run Agricultural R&D Policy in the Face of Uncertain Economic Growth

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

Abstract

Projecting economic growth, population and climate over the 21st century is challenging. One approach to this problem has been the develop of "Shared Socio-economic Pathways" designed to provide a consistent characterization of alternative evolutions of population, per capita income and climate. However, recent analysis has shown that the true extent of future growth uncertainty is likely far greater than that embodied in the SSPs. We build on the innovative work of Christensen et al., in order to construct 13 independent probability distributions of economic growth in the 21st century. For each of these distributions, we use a stochastic dynamic partial equilibrium model of global land use to compute the optimal rate of R&D investment as well as the ensuing path of Total Factor Productivity (TFP) growth to 2100. When there is a significant probability of non-positive growth, the optimal response is to invest a lot in R&D today, and maintain a fairly flat trajectory over the entire century. This is in sharp contrast to the optimal path when growth rates are strictly positive. In this case, R&D spending starts out slow, and accelerates over time. Since we do not know which expert, if any, is correct, we propose a novel approach to dealing with this ambiguity by minimizing the maximum regret across all 13 optimal growth paths. This results in 50% higher R&D spending early in the century than that dictated by a mean growth rate deterministic model. However, by mid-century, optimal R&D spending levels off, and the resulting TFP plateaus at a level which is about 75% higher than at the start of the century.

Suggested Citation

  • Cai, Yongyang & Golub, Alla A. & Hertel, Thomas W., 2016. "Developing Long-run Agricultural R&D Policy in the Face of Uncertain Economic Growth," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250111, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:assa17:250111
    DOI: 10.22004/ag.econ.250111
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    References listed on IDEAS

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    1. Anderson, Soren T., 2012. "The demand for ethanol as a gasoline substitute," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 151-168.
    2. Baldos, Uris Lantz C. & Viens, Frederi G. & Hertel, Thomas W. & Fuglie, Keith O., 2015. "On the linkages in U.S. public R&D spending, knowledge capital and agricultural productivity growth: A Bayesian approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205745, Agricultural and Applied Economics Association.
    3. Kenneth Gillingham & William D. Nordhaus & David Anthoff & Geoffrey Blanford & Valentina Bosetti & Peter Christensen & Haewon McJeon & John Reilly & Paul Sztorc, 2015. "Modeling Uncertainty in Climate Change: A Multi-Model Comparison," NBER Working Papers 21637, National Bureau of Economic Research, Inc.
    4. Thomas W. Hertel & Uris Lantz C. Baldos & Dominique van der Mensbrugghe, 2016. "Predicting Long-Term Food Demand, Cropland Use, and Prices," Annual Review of Resource Economics, Annual Reviews, vol. 8(1), pages 417-441, October.
    5. Evenson, Robert E., 2001. "Economic impacts of agricultural research and extension," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 11, pages 573-628, Elsevier.
    6. Alston, Julian M. & Marra, Michele C. & Pardey, Philip G. & Wyatt, T.J., 2000. "Research returns redux: a meta-analysis of the returns to agricultural R&D," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(2), pages 1-31.
    7. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    8. Thomas W. Hertel & Kyle Stiegert & Harry Vroomen, 1996. "Nitrogen-Land Substitution in Corn Production: A Reconciliation of Aggregate and Firm-Level Evidence," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 30-40.
    9. A. J. Challinor & J. Watson & D. B. Lobell & S. M. Howden & D. R. Smith & N. Chhetri, 2014. "A meta-analysis of crop yield under climate change and adaptation," Nature Climate Change, Nature, vol. 4(4), pages 287-291, April.
    10. Fuglie, Keith O. & Heisey, Paul W., 2007. "Economic Returns to Public Agricultural Research," Economic Brief 6388, United States Department of Agriculture, Economic Research Service.
    11. Cranfield, J. A. L. & Preckel, Paul V. & Eales, James S. & Hertel, Thomas W., 2002. "Estimating consumer demands across the development spectrum: maximum likelihood estimates of an implicit direct additivity model," Journal of Development Economics, Elsevier, vol. 68(2), pages 289-307, August.
    12. Jeffrey Reimer & Thomas Hertel, 2004. "Estimation of International Demand Behaviour for Use with Input-Output Based Data," Economic Systems Research, Taylor & Francis Journals, vol. 16(4), pages 347-366.
    13. Pardey, Philip G. & Beintema, Nienke M. & Dehmer, Steven & Wood, Stanley, 2006. "Agricultural research: a growing global divide?," Food policy reports 17, International Food Policy Research Institute (IFPRI).
    14. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
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    Agricultural and Food Policy;

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