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Why farmers consider pesticides the ultimate in crop protection: economic and behavioral insights

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  • Carpentier, A.
  • Reboud, X.

Abstract

The observed dependence of current crop production on chemical crop protection is largely due to economic and technological factors. High yield and specialized cropping systems require high crop protection levels and pesticides allow achieving such protection levels at reasonable (private) costs. The main aim of this article is to show that behavioral factors may reinforce the effects of these economic and technological factors on farmers considering pesticides the ultimate in crop protection. Choice mechanisms described by K?szegi and Rabin (2007) imply that individual attitudes toward a given risk are endogenous in the sense that they depend on the best available means to cope with this risk. Building on this extension of Prospect Theory, we show that farmers exhibit strong aversion toward crop health risks when pesticide prices are relatively low. Indeed, the cheaper the pesticides, the higher the crop protection levels farmers refer to when considering pesticide sprays, and the more they feel that choosing low crop protection levels entails unacceptable risk taking. Our analysis also suggests that pesticide prices play a more important role in farmers crop protection choices than previously recognized. In particular, we show that pesticide taxes would unambiguously reduce farmers pesticide uses, by reducing pesticide profitability as well as farmers aversion toward crop health risks. Acknowledgement :

Suggested Citation

  • Carpentier, A. & Reboud, X., 2018. "Why farmers consider pesticides the ultimate in crop protection: economic and behavioral insights," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277528, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277528
    DOI: 10.22004/ag.econ.277528
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    1. Vanloqueren, Gaëtan & Baret, Philippe V., 2009. "How agricultural research systems shape a technological regime that develops genetic engineering but locks out agroecological innovations," Research Policy, Elsevier, vol. 38(6), pages 971-983, July.
    2. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    3. David J. Pannell, 1991. "Pests and pesticides, risk and risk aversion," Agricultural Economics, International Association of Agricultural Economists, vol. 5(4), pages 361-383, August.
    4. 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.
    5. Robert G. Chambers & Giannis Karagiannis & Vangelis Tzouvelekas, 2010. "Another Look at Pesticide Productivity and Pest Damage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1401-1419.
    6. Bharat Ramaswami, 1992. "Production Risk and Optimal Input Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 860-869.
    7. Gershon Feder, 1979. "Pesticides, Information, and Pest Management under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(1), pages 97-103.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. Vincent P. Crawford & Juanjuan Meng, 2011. "New York City Cab Drivers' Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income," American Economic Review, American Economic Association, vol. 101(5), pages 1912-1932, August.
    10. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    11. Sergio H. Lence, 2007. "Joint Estimation of Risk Preferences and Technology: Flexible Utility or Futility?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(3), pages 581-598.
    12. Yazhen Gong & Kathy Baylis & Robert Kozak & Gary Bull, 2016. "Farmers’ risk preferences and pesticide use decisions: evidence from field experiments in China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(4), pages 411-421, July.
    13. Richard E. Just, 2008. "Distinguishing Preferences from Perceptions for Meaningful Policy Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1165-1175.
    14. Géraldine Bocquého & Florence Jacquet & Arnaud Reynaud, 2014. "Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(1), pages 135-172, February.
    15. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    16. Botond Koszegi & Matthew Rabin, 2007. "Reference-Dependent Risk Attitudes," American Economic Review, American Economic Association, vol. 97(4), pages 1047-1073, September.
    17. Just, Richard E. & Just, David R., 2011. "Global identification of risk preferences with revealed preference data," Journal of Econometrics, Elsevier, vol. 162(1), pages 6-17, May.
    18. 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.
    19. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    20. J. K. Horowitz & E. Lichtenberg, 1994. "Risk‐Reducing And Risk‐Increasing Effects Of Pesticides," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(1), pages 82-89, January.
    21. Bhavani Shankar & Richard Bennett & Stephen Morse, 2008. "Production risk, pesticide use and GM crop technology in South Africa," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2489-2500.
    22. Lence, Sergio H., 2009. "Ajae Appendix For “Joint Estimation Of Risk Preferences And Technology: Flexible Utility Or Futility?”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(3), pages 1-6, January.
    23. Atanu Saha & C. Richard Shumway & Arthur Havenner, 1997. "The Economics and Econometrics of Damage Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 773-785.
    24. Segal, Uzi & Spivak, Avia, 1990. "First order versus second order risk aversion," Journal of Economic Theory, Elsevier, vol. 51(1), pages 111-125, June.
    25. David Tilman & Kenneth G. Cassman & Pamela A. Matson & Rosamond Naylor & Stephen Polasky, 2002. "Agricultural sustainability and intensive production practices," Nature, Nature, vol. 418(6898), pages 671-677, August.
    26. Finger, Robert & Möhring, Niklas & Dalhaus, Tobias & Böcker, Thomas, 2017. "Revisiting Pesticide Taxation Schemes," Ecological Economics, Elsevier, vol. 134(C), pages 263-266.
    27. Ehrlich, Isaac & Becker, Gary S, 1972. "Market Insurance, Self-Insurance, and Self-Protection," Journal of Political Economy, University of Chicago Press, vol. 80(4), pages 623-648, July-Aug..
    28. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    29. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    30. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
    31. Botond Koszegi & Matthew Rabin, 2009. "Reference-Dependent Consumption Plans," American Economic Review, American Economic Association, vol. 99(3), pages 909-936, June.
    32. Sexton, Steven E. & Lei, Zhen & Zilberman, David, 2007. "The Economics of Pesticides and Pest Control," International Review of Environmental and Resource Economics, now publishers, vol. 1(3), pages 271-326, September.
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    Cited by:

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    2. Matthias Buchholz & Oliver Musshoff, 2021. "Tax or green nudge? An experimental analysis of pesticide policies in Germany [A psychological study of the inverse relationship between perceived risk and perceived benefit]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 940-982.

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