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Quantifying Farmer Adoption Intensity for Weed Resistance Management Practices and Its Determinants

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  • Dong, Fengxia
  • Mitchell, Paul D.
  • Hurley, Terrance M.
  • Frisvold, George B.

Abstract

Given the importance of adopting weed resistance management BMPs, it is important to develop methods to compare BMP adoption among farms and to identify factors that affect BMP adoption. Because of the relatively large number of BMPs and interactions among them, a composite index that integrates and aggregates over all practices is a necessary measure. We use data envelope analysis (DEA) to develop a measure of farmer adoption intensity for a set of interrelated BMPs. In addition, we use polychoric principal component analysis before applying the common-weight DEA method of Despotis to remove correlation among variables and transform categorical variables to continuous ones that fit better in DEA. We applied the method to survey data from soybean growers from ten states in the central and southern U.S. The empirical results suggest that most growers adopt most of the practices, but that there is room for improvement. In addition, we found a significant negative effect on BMP adoption intensity scores for growers who more highly valued the RR trait in soybeans and positive effects for growers who were concerned about herbicide resistant weeds and cost and crop safety when making herbicide decisions.

Suggested Citation

  • Dong, Fengxia & Mitchell, Paul D. & Hurley, Terrance M. & Frisvold, George B., 2012. "Quantifying Farmer Adoption Intensity for Weed Resistance Management Practices and Its Determinants," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125194, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:125194
    DOI: 10.22004/ag.econ.125194
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    References listed on IDEAS

    as
    1. Dong, Fengxia & Mitchell, Paul D. & Colquhoun, Jed, 2013. "Measuring Farm Sustainability Using Data Envelope Analysis with Principal Components: The Case of the Wisconsin Cranberry," Staff Paper Series 568, University of Wisconsin, Agricultural and Applied Economics.
    2. Sydorovych, Olha & Marra, Michele C., 2008. "Valuing the Changes in Herbicide Risks Resulting from Adoption of Roundup Ready Soybeans by U.S. Farmers: An Empirical Analysis of Revealed Value Estimates," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 8215, Southern Agricultural Economics Association.
    3. Hatefi, S.M. & Torabi, S.A., 2010. "A common weight MCDA-DEA approach to construct composite indicators," Ecological Economics, Elsevier, vol. 70(1), pages 114-120, November.
    4. Sydorovych, Olha & Marra, Michele, 2008. "Valuing the Changes in Herbicide Risks Resulting from Adoption of Roundup Ready Soybeans by U.S. Farmers: A Revealed-Preference Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(3), pages 777-787, December.
    5. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    6. Ulf Olsson, 1979. "Maximum likelihood estimation of the polychoric correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 44(4), pages 443-460, December.
    7. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    8. W. Cooper & L. Seiford & K. Tone & J. Zhu, 2007. "Some models and measures for evaluating performances with DEA: past accomplishments and future prospects," Journal of Productivity Analysis, Springer, vol. 28(3), pages 151-163, December.
    9. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    10. D K Despotis, 2002. "Improving the discriminating power of DEA: focus on globally efficient units," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(3), pages 314-323, March.
    11. Frisvold, George B. & Hurley, Terrance M. & Mitchell, Paul D., 2009. "Adoption of Best Management Practices to Control Weed Resistance By Cotton, Corn, and Soybean Growers," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49432, Agricultural and Applied Economics Association.
    12. D K Despotis, 2005. "A reassessment of the human development index via data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 969-980, August.
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