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The Impact of Weather Extremes on Agricultural Production Methods: Does Drought Increase Adoption of Conservation Tillage Practices?

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Author Info

  • Ding, Ya
  • Schoengold, Karina
  • Tadesse, Tsegaye
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    Abstract

    The paper combines panel data techniques with spatial analysis to measure the impact of extreme weather events on the adoption of conservation tillage. Zellner’s SUR technique is extended to spatial panel data to correct for cross-sectional heterogeneity, spatial autocorrelation, and contemporaneous correlation. Panel data allow the identification of differences in adoption rates. The adoption of no-till, other conservation tillage, and reduced-till are estimated relative to conventional tillage. Extremely dry conditions in recent years increase the adoption of other conservation tillage practices, while spring floods in the year of production reduce the use of no-till practices.

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    File URL: http://purl.umn.edu/57631
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    Bibliographic Info

    Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

    Volume (Year): 34 (2009)
    Issue (Month): 3 (December)
    Pages:

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    Handle: RePEc:ags:jlaare:57631

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    Web page: http://waeaonline.org/
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    Related research

    Keywords: conservation tillage; drought; panel data; technology adoption; weather extremes; Crop Production/Industries;

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    Cited by:
    1. Malcolm, Scott A. & Marshall, Elizabeth P. & Aillery, Marcel P. & Heisey, Paul W. & Livingston, Michael J. & Day-Rubenstein, Kelly A., 2012. "Regional Economic and Environmental Impacts of Agricultural Adaptation to a Changing Climate in the United States," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124674, Agricultural and Applied Economics Association.
    2. Malcolm, Scott A. & Marshall, Elizabeth P. & Aillery, Marcel P. & Heisey, Paul W. & Livingston, Michael J. & Day-Rubenstein, Kelly A., 2012. "Agricultural Adaptation to a Changing Climate: Economic and Environmental Implications Vary by U.S. Region," Economic Research Report 127734, United States Department of Agriculture, Economic Research Service.
    3. Wade, Tara & Kurkalova, Lyubov A. & Secchi, Silvia, 2012. "Using the logit model with aggregated choice data in estimation of Iowa corn farmers’ conservation tillage subsidies," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124974, Agricultural and Applied Economics Association.
    4. Schoengold, Karina & Ding, Ya & Headlee, Russell, 2012. "The Impact of Ad-hoc Disaster Programs on the Use of Conservation Practices," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124957, Agricultural and Applied Economics Association.

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