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Wheat Trade And The Adoption Of Enso-Based Forecasts: Different Scenarios

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  • Rubas, Debra J.
  • Mjelde, James W.
  • Love, H. Alan

Abstract

Previous climate information studies have used static models to estimate the benefits of using seasonal forecasts. Technology adoption studies, on the other hand, have used dynamic models but have examined the benefits of adoption ex post. The objective of this study is to examine ex ante the effects of climate forecast adoption on the international wheat market over time. Two general sets of scenarios are analyzed. The first set assumes all wheat-producers within a country or set of countries adopt the forecasts, while producers in the remaining country (ies) do not. Next, producers adopt sequentially over time based on S-shaped adoption curves, whose rates vary by country. Welfare implications are examined and compared in the different scenarios. The model simulates wheat production and trade for the three major exporting countries: United States, Canada, and Australia over 20 years using Monte Carlo techniques. Climate forecasts are based on the five phases of the Southern Oscillation Index. Results for each scenario are based on 1000 simulations. This paper illustrates that when producers in one area of the world adopt a new technology, it has worldwide ramifications. In the case of wheat, producers are better off, on average, if everybody adopts climate forecasts. The gains are not distributed evenly, however, and the variability can be quite large. Adoption can, in some years, lead to substantial losses. Results indicate a great advantage to those who adopt first, though this advantage declines rapidly as more producers adopt. Understanding ex ante the likely consequences of using ENSO-based forecasts allows decision-makers to make better choices.

Suggested Citation

  • Rubas, Debra J. & Mjelde, James W. & Love, H. Alan, 2003. "Wheat Trade And The Adoption Of Enso-Based Forecasts: Different Scenarios," 2003 Annual meeting, July 27-30, Montreal, Canada 22160, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:22160
    DOI: 10.22004/ag.econ.22160
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    References listed on IDEAS

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    1. Jovanovic, Boyan & Lach, Saul, 1989. "Entry, Exit, and Diffusion with Learning by Doing," American Economic Review, American Economic Association, vol. 79(4), pages 690-699, September.
    2. Chen, Chi-Chung & McCarl, Bruce A., 2000. "The Value Of Enso Information To Agriculture: Consideration Of Event Strength And Trade," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-18, December.
    3. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    4. Richard M. Adams & Stephen Polasky, 1998. "The Value of El Niño Forecasts in the Management of Salmon: A Stochastic Dynamic Assessment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(4), pages 765-777.
    5. Hoppe, Heidrun C., 2000. "Second-mover advantages in the strategic adoption of new technology under uncertainty," International Journal of Industrial Organization, Elsevier, vol. 18(2), pages 315-338, February.
    6. Messina, C. D. & Hansen, J. W. & Hall, A. J., 1999. "Land allocation conditioned on El Nino-Southern Oscillation phases in the Pampas of Argentina," Agricultural Systems, Elsevier, vol. 60(3), pages 197-212, June.
    7. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    8. Petersen, E. H. & Fraser, R. W., 2001. "An assessment of the value of seasonal forecasting technology for Western Australian farmers," Agricultural Systems, Elsevier, vol. 70(1), pages 259-274, October.
    9. Daniel A. Sumner & Daniel G. Hallstrom & Hyunok Lee, 1998. "Trade Policy and the Effects of Climate Forecasts on Agricultural Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1102-1108.
    10. Hill, Harvey S.J. & Mjelde, James W., 2002. "Challenges and Opportunities Provided by Seasonal Climate Forecasts: A Literature Review," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 34(3), pages 603-632, December.
    11. Batz, Franz-J. & Janssen, Willem & Peters, Kurt J., 2003. "Predicting technology adoption to improve research priority--setting," Agricultural Economics, Blackwell, vol. 28(2), pages 151-164, March.
    12. Romeo, Anthony A, 1975. "Interindustry and Interfirm Differences in the Rate of Diffusion of an Innovation," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 311-319, August.
    13. Hill, Harvey S.J. & Mjelde, James W., 2002. "Challenges And Opportunities Provided By Seasonal Climate Forecasts: A Literature Review," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(3), pages 1-30, December.
    14. Mary K. Knudson, 1991. "Incorporating Technological Change in Diffusion Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 724-733.
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