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Wheat Acreage Response: Investigation a Regional Econometric Investigation

Author

Listed:
  • Bailey, Kenneth W.
  • Womack, Abner W.

Abstract

An econometric model of planted wheat acreage was estimated for five distinct production regions in the United States. This structural investigation represents an update of previous published work with specific attention given to policy program variables, weather, production cost, risk, market price influences, and program participation. Estimated results indicated regional divergence in responsiveness to government program variables. The most significant divergence occurred in the Cornbelt and Southeast—soft red winter wheat areas. Results indicate that management of the wheat program from the USDA level will contain countervailing production incentives unless these regional characteristics are taken into consideration in policy directives.

Suggested Citation

  • Bailey, Kenneth W. & Womack, Abner W., 1985. "Wheat Acreage Response: Investigation a Regional Econometric Investigation," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 17(2), pages 171-180, December.
  • Handle: RePEc:cup:jagaec:v:17:y:1985:i:02:p:171-180_02
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    Citations

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    Cited by:

    1. Krause, Mark A. & Lee, Jung-Hee & Koo, Won W., 1995. "Program And Nonprogram Wheat Acreage Responses To Prices And Risk," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-12, July.
    2. Hazrana, Jaweriah & Kishore, Avinash & Roy, Devesh, 2020. "Supply response of staple food crops in the presence of policy distortions: Some evidence from India," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304490, Agricultural and Applied Economics Association.
    3. A. Chowdhury & Cary Herndon, 2000. "Supply response of farm program in rice-growing states," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(4), pages 771-781, November.
    4. Ramsey, Steven M. & Bergtold, Jason S. & Heier Stamm, Jessica, 2018. "An Artificial Neural Network Approach to Acreage-Share Modeling," 2018 Annual Meeting, August 5-7, Washington, D.C. 274395, Agricultural and Applied Economics Association.
    5. Ghatak S. & Seale J., 2001. "Rice, Risk and Rationality: Supply Response in West Bengal, India," European Research Studies Journal, European Research Studies Journal, vol. 0(3-4), pages 155-155, July - De.
    6. Salassi, Michael E., 1995. "The Responsiveness Of U.S. Rice Acreage To Price And Production Costs," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(2), pages 1-14, December.
    7. A. Farhad Chowdhury, 2002. "The impact of the acreage allotment program on rice farming," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 8(1), pages 49-57, February.
    8. D. V. Dlamini* & S. G. Dlamini & D. Akelrele & Q. Jele, 2019. "The Influence of Price and Non-Price Factors on Acreage Response of Maize in Eswatini," Journal of Agriculture and Crops, Academic Research Publishing Group, vol. 5(3), pages 38-42, 03-2019.
    9. Joyce Hall Krause & B. Wade Brorsen, 1995. "The Effect of Risk on the Rental Value of Agricultural Land," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 17(1), pages 71-76.
    10. Hall, Joyce A. & Brorsen, B. Wade, 1989. "The Policy Implications of Corn and Soybean·Supply Response to Risk," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270502, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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