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Pesticide Productivity: Of Bugs and Biases

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  • Norwood, F. Bailey
  • Marra, Michele C.

Abstract

Pesticide productivity is both important and difficult to measure. Typically, pesticide marginal products are estimated without information on the pest pressure. Three theoretical models are developed which suggest absence of such information may cause an underestimation of pesticide productivity. Using application frequency variables as a proxy for pest populations, we show that pesticide marginal products are higher when pest pressure is accounted for.

Suggested Citation

  • Norwood, F. Bailey & Marra, Michele C., 2003. "Pesticide Productivity: Of Bugs and Biases," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-15, December.
    • Handle: RePEc:ags:jlaare:31062
    DOI: 10.22004/ag.econ.31062
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    References listed on IDEAS

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    Cited by:

    1. Cobourn, Kelly M. & Burrack, Hannah J. & Goodhue, Rachael E. & Williams, Jeffrey C. & Zalom, Frank G., 2011. "Implications of simultaneity in a physical damage function," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 278-289, September.
    2. Adélaïde Fadhuile & Stéphane Lemarié & Alain Pirotte, 2016. "Disaggregating the Demand for Pesticides: Does it Matter?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 223-252, June.
    3. Daniel C. Voica & Troy G. Schmitz, 2022. "Trading risk for ambiguity: Production versus health under pesticide application," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1327-1342, August.
    4. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    5. Boyer, Christopher N. & Harmon, Xavier & Smith, S. Aaron & Lambert, Dayton M. & Kelly, Heather & Jordan, Jamie & Newman, Melvin, 2016. "A Two-Stage Approach for Estimating the Value of Damage Control with Fungicide in Soybean Production," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229574, Southern Agricultural Economics Association.
    6. Jianhua Wang & May Chu & Yuting Ma, 2018. "Measuring Rice Farmer’s Pesticide Overuse Practice and the Determinants: A Statistical Analysis Based on Data Collected in Jiangsu and Anhui Provinces of China," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    7. Steinmann, Kimberly P. & Zhang, Minghua & Grant, Joseph A. & Pickel, Carolyn & Goodhue, Rachael E. & Klonsky, Karen, 2010. "Quantifying economic and environmental tradeoffs of walnut arthropod pest management," Agricultural Systems, Elsevier, vol. 103(5), pages 294-306, June.
    8. Yang, Juan & Mitchell, Paul D., 2004. "Unbalanced Nested Component Error Model For Estimating Pest Damage Functions," 2004 Annual meeting, August 1-4, Denver, CO 20002, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Elbakidze, Levan & Lu, Liang & Eigenbrode, Sanford, 2011. "Evaluating Vector-Virus-Yield Interactions for Peas and Lentils under Climatic Variability: A Limited Dependent Variable Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-17.

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