IDEAS home Printed from https://ideas.repec.org/p/ags/aaea03/22160.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/22160/files/sp03ru01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.22160?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.
    2. Mohammad Torshizi & Richard Gray, 2022. "Adaptability and variety adoption: Implications for plant breeding policy in a changing climate," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 842-859, October.
    3. Helena Posthumus & Cornelis Gardebroek & Ruerd Ruben, 2010. "From Participation to Adoption: Comparing the Effectiveness of Soil Conservation Programs in the Peruvian Andes," Land Economics, University of Wisconsin Press, vol. 86(4), pages 645-667.
    4. Aude Ridier & Caroline Roussy & Karim Chaib, 2021. "Adoption of crop diversification by specialized grain farmers in south-western France: evidence from a choice-modelling experiment," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(3), pages 265-283, September.
    5. Micheels, Eric T. & Nolan, James F., 2016. "Examining the effects of absorptive capacity and social capital on the adoption of agricultural innovations: A Canadian Prairie case study," Agricultural Systems, Elsevier, vol. 145(C), pages 127-138.
    6. Oscar Montes de Oca Munguia & Rick Llewellyn, 2020. "The Adopters versus the Technology: Which Matters More when Predicting or Explaining Adoption?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 80-91, March.
    7. Richard A. Jensen, 2001. "Strategic Intrafirm Innovation Adoption and Diffusion," Southern Economic Journal, John Wiley & Sons, vol. 68(1), pages 120-132, July.
    8. Magnus Moglia & Kim S. Alexander & Silva Larson & Anne (Giger)-Dray & Garry Greenhalgh & Phommath Thammavong & Manithaythip Thephavanh & Peter Case, 2020. "Gendered Roles in Agrarian Transition: A Study of Lowland Rice Farming in Lao PDR," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    9. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2013. "Do Big Crops Get Bigger and Small Crops Get Smaller? Further Evidence on Smoothing in U.S. Department of Agriculture Forecasts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(1), pages 1-13, February.
    10. Blackman, Allen, 1999. "The Economics of Technology Diffusion: Implications for Climate Policy in Developing Countries," Discussion Papers 10574, Resources for the Future.
    11. repec:phd:pjdevt:pjd_2009_vol__xxxvi_no__1-c is not listed on IDEAS
    12. Teresa Serra & David Zilberman & José M. Gil, 2008. "Differential uncertainties and risk attitudes between conventional and organic producers: the case of Spanish arable crop farmers," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 219-229, September.
    13. Pham, Huong Dien & Waibel, Hermann, 2018. "Risk attitudes, knowledge, skills and agricultural productivity," TVSEP Working Papers wp-007, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    14. Alary, V. & Nefzaoui, A. & Jemaa, M. Ben, 2007. "Promoting the adoption of natural resource management technology in arid and semi-arid areas: Modelling the impact of spineless cactus in alley cropping in Central Tunisia," Agricultural Systems, Elsevier, vol. 94(2), pages 573-585, May.
    15. Prisca Koncy Fosso & Roger Tsafack Nanfosso, 2016. "Adoption of agricultural innovations in risky environment: the case of corn producers in the west of Cameroon," Review of Agricultural, Food and Environmental Studies, Springer, vol. 97(1), pages 51-62, June.
    16. Carter, Chris & Crean, Jason & Kingwell, Ross S. & Hertzler, Greg, 2006. "Managing and Sharing the Risks of Drought in Australia," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25319, International Association of Agricultural Economists.
    17. Aniseh S. Bro, 2020. "Climate Change Adaptation, Food Security, and Attitudes toward Risk among Smallholder Coffee Farmers in Nicaragua," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    18. Yoo, Do-il, 2012. "Individual and Social Learning in Bio-technology Adoption: The Case of GM Corn in the U.S," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124975, Agricultural and Applied Economics Association.
    19. Ashley R. Coles & Christopher A. Scott, 2009. "Vulnerability and adaptation to climate change and variability in semi‐arid rural southeastern Arizona, USA," Natural Resources Forum, Blackwell Publishing, vol. 33(4), pages 297-309, November.
    20. Kim S. Alexander & Garry Greenhalgh & Magnus Moglia & Manithaythip Thephavanh & Phonevilay Sinavong & Silva Larson & Tom Jovanovic & Peter Case, 2020. "What is technology adoption? Exploring the agricultural research value chain for smallholder farmers in Lao PDR," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(1), pages 17-32, March.
    21. Nadia A. Streletskaya & Samuel D. Bell & Maik Kecinski & Tongzhe Li & Simanti Banerjee & Leah H. Palm‐Forster & David Pannell, 2020. "Agricultural Adoption and Behavioral Economics: Bridging the Gap," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 54-66, March.

    More about this item

    Keywords

    Crop Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea03:22160. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.