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Forecasting California Pesticide Demand using PUR Dataset

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  • Asci, Serhat
  • Yamazaki, Fumiko
  • Paggi, Mechel

Abstract

Pesticide use related to agriculture and non-agricultural uses has increased six-fold during the last three decades. California has been collecting pesticide use since 1990, and that is recognized as the most comprehensive pesticide reporting program in the world. The program includes the information for 1003 active ingredients and 309 end use commodities. This study aims to develop a relationship between end uses and chemicals to determine the possible impact of end-uses for pesticide demand. In this study, we develop a comprehensive relationship between the pesticide end-uses and active ingredients and analyze pesticide demand using the historical data available from the PUR dataset and agricultural production data using stochastic simulation methods.

Suggested Citation

  • Asci, Serhat & Yamazaki, Fumiko & Paggi, Mechel, 2016. "Forecasting California Pesticide Demand using PUR Dataset," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230126, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea16:230126
    DOI: 10.22004/ag.econ.230126
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    References listed on IDEAS

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    1. Jorge Fernandez-Cornejo & Sharon Jans & Mark Smith, 1998. "Issues in the Economics of Pesticide Use in Agriculture: A Review of the Empirical Evidence," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 20(2), pages 462-488.
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    3. Thomas M. Burrows, 1983. "Pesticide Demand and Integrated Pest Management: A Limited Dependent Variable Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(4), pages 806-810.
    4. John M. Antle, 1984. "The Structure of U.S. Agricultural Technology, 1910–78," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(4), pages 414-421.
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    Keywords

    Agribusiness; Agricultural and Food Policy; Crop Production/Industries; Production Economics;
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