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Pesticide Productivity: What are the Trends?

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  • Teague, Mark L.
  • Wade Brorsen, B.

Abstract

Obtaining estimates of pesticide productivity is an economic response to the growing public concern about the steady increase of pesticide use in the United States. This type of research indicates the cost of limiting pesticide use in terms of foregone output. Previous empirical studies give a “snap-shot”, or “average”, look at pesticide productivity. This research effort employs a random coefficient model to determine the trend of the marginal value product of pesticides in agriculture in the United States. Results show a distinct downward trend in two states, Iowa and Texas. California, however, shows no evidence of a downward trend.

Suggested Citation

  • Teague, Mark L. & Wade Brorsen, B., 1995. "Pesticide Productivity: What are the Trends?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(1), pages 276-282, July.
    • Handle: RePEc:cup:jagaec:v:27:y:1995:i:01:p:276-282_01
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    1. Erik Lichtenberg & David Zilberman, 1986. "The Econometrics of Damage Control: Why Specification Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 261-273.
    2. Griffiths, William E., 1971. "Estimation Of Actual Response Coefficients In The Hildreth-Houck Random Coefficient Model," Staff Papers 14275, University of Minnesota, Department of Applied Economics.
    3. Gerald A. Carlson, 1977. "Long-Run Productivity of Insecticides," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(3), pages 543-548.
    4. Griffiths, William E. & Drynan, Ross G. & Prakash, Surekha, 1979. "Bayesian estimation of a random coefficient model," Journal of Econometrics, Elsevier, vol. 10(2), pages 201-220, June.
    5. Osteen, Craig & Suguiyama, Luis, 1988. "Losing Chlordimeform Use in Cotton Production: Its Effects on the Economy and Pest Resistance," Agricultural Economic Reports 308042, United States Department of Agriculture, Economic Research Service.
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    1. Fernandez-Cornejo, Jorge & Nehring, Richard & Osteen, Craig & Wechsler, Seth James & Martin, Andrew & Vialou, Alex, 2014. "Pesticide Use in U.S. Agriculture: 21 Selected Crops, 1960-2008," Economic Information Bulletin 178462, United States Department of Agriculture, Economic Research Service.
    2. Padgitt, Merritt & Newton, Doris & Penn, Renata & Sandretto, Carmen, 2000. "Production Practices for Major Crops in U.S. Agriculture, 1990-97," Statistical Bulletin 262287, United States Department of Agriculture, Economic Research Service.
    3. C.S. Kim & C. Sandretto & N.D. Uri, 1997. "The Implications of the Adoption of Alternative Production Practices on the Estimation of Input Productivity in Agriculture," Energy & Environment, , vol. 8(2), pages 133-150, June.

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