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Quantity based indicators fail to identify extreme pesticide risks

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  • Moehring, N.
  • Gaba, S.
  • Finger, R.

Abstract

To reduce environmental and health risks caused by pesticide use, efficient and effective policies strongly demand a precise and meaningful quantification of these adverse effects. The indicators currently used in policy analysis are diverse and mainly focus on a purely quantitative dimension of used pesticides. Using a unique dataset on pesticide use of Swiss farmers, we demonstrate that the two most important quantitative indicators on average show a significant correlation with pesticide risks, but they have almost no explanatory power for applications with extreme risks for the environment and human health. Single applications and application regimes with extreme risks, have been shown to be central for potential environmental and human health impacts of pesticides. These findings render the use of common, quantitative indicators in-effective to reduce environmental and health risk - in the worst case leading to biased policy incentives and adverse outcomes of current pesticide policies. Acknowledgement :

Suggested Citation

  • Moehring, N. & Gaba, S. & Finger, R., 2018. "Quantity based indicators fail to identify extreme pesticide risks," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277363, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277363
    DOI: 10.22004/ag.econ.277363
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    Cited by:

    1. Geoffroy Enjolras & Magali Aubert, 2020. "How does crop insurance influence pesticide use? Evidence from French farms," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 461-485, December.
    2. Bontemps, Christophe & Bougherara, Douadia & Nauges, Céline, 2020. "Do Risk Preferences Really Matter? The Case of Pesticide Use in Agriculture," TSE Working Papers 20-1095, Toulouse School of Economics (TSE).

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    Keywords

    Environmental Economics and Policy;

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