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How to achieve significant reduction in pesticide use? An empirical evaluation of the impacts of pesticide taxation associated to a change in cropping practice

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  • Féménia, Fabienne
  • Letort, Elodie
Abstract
In this paper, we use an econometric approach to investigate the impacts of potential changes in cropping practices on the reduction in pesticide use implied by a taxation policy. We combine economic data, reflecting the relatively intensive cropping practices currently used in France, and experimental agronomic data on a low-input technology to estimate micro-econometric models of farmers’ production and acreage choices. In a second step, these estimated models are used to conduct policy simulations. Our results show that a small tax on pesticide use could provide agricultural producers sufficient economic incentive to adopt low-input cropping practices and thereby lead to significant reductions in pesticide use, close to public short-term objectives. However, given the limited impacts of taxation once these practices have been adopted, other public instruments or further improvement of low-input cropping systems should be considered to achieve more ambitious longer term public objectives.

Suggested Citation

  • Féménia, Fabienne & Letort, Elodie, 2016. "How to achieve significant reduction in pesticide use? An empirical evaluation of the impacts of pesticide taxation associated to a change in cropping practice," Working Papers 233482, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
  • Handle: RePEc:ags:inrasl:233482
    DOI: 10.22004/ag.econ.233482
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    Cited by:

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    2. Hu, Yumeng & Liu, Yu, 2024. "Impact of fertilizer and pesticide reductions on land use in China based on crop-land integrated model," Land Use Policy, Elsevier, vol. 141(C).
    3. Dupraz, Pierre, 2021. "Policies for the ecological transition of agriculture: the livestock issue," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 101(4), January.
    4. Grovermann, Christian & Schreinemachers, Pepijn & Riwthong, Suthathip & Berger, Thomas, 2017. "‘Smart’ policies to reduce pesticide use and avoid income trade-offs: An agent-based model applied to Thai agriculture," Ecological Economics, Elsevier, vol. 132(C), pages 91-103.
    5. François Bareille & Raja Chakir, 2024. "Structural identification of weather impacts on crop yields: Disentangling agronomic from adaptation effects," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 989-1019, May.
    6. Böcker, Thomas Gerd & Finger, Robert, 2016. "A Meta-Analysis On The Own-Price Elasticity Of Demand For Pesticides," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244871, German Association of Agricultural Economists (GEWISOLA).
    7. 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).
    8. Devilliers, Esther & Carpentier, Alain, 2019. "Recovering cropping management practices specific production functions: clustering and latent approaches," 93rd Annual Conference, April 15-17, 2019, Warwick University, Coventry, UK 289655, Agricultural Economics Society - AES.
    9. Bareille, François & Dupraz, Pierre, 2016. "Biodiversity productive effects in milk farms of western France: a multi-output primal system," 149th Seminar, October 27-28, 2016, Rennes, France 244774, European Association of Agricultural Economists.
    10. Chantal Gascuel & Michèle Tixier-Boichard & Benoit Dedieu & Cécile Détang-Dessendre & Pierre Dupraz & Philippe Faverdin & Laurent Hazard & Philippe Hinsinger & Isabelle Litrico-Chiarelli & Françoise M, 2019. "Réflexion prospective interdisciplinaire pour l’agroécologie. Rapport de synthèse," Post-Print hal-02154433, HAL.
    11. Nielsen, Helle Ørsted & Konrad, Maria Theresia Hedegaard & Pedersen, Anders Branth & Gyldenkærne, Steen, 2023. "Ex-post evaluation of the Danish pesticide tax: A novel and effective tax design," Land Use Policy, Elsevier, vol. 126(C).
    12. Bareille, Francois & Letort, Elodie & Dupraz, Pierre, 2017. "How Do Farmers Manage Their Biodiversity Through Time? A Dynamic Acreage Allocation Model With Productive Feedback," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260894, European Association of Agricultural Economists.
    13. Thomas G. Böcker & Robert Finger, 2017. "A Meta-Analysis on the Elasticity of Demand for Pesticides," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 518-533, June.
    14. Donghui Chen & Jiyao Liu & Desheng Zhang & Zhixu Dong & Tao Xu, 2024. "Impact of Ecological Cognitive Bias on Pesticide Reduction by Natural Rubber Farmers in China: Insight from Price Insurance Satisfaction," Agriculture, MDPI, vol. 14(9), pages 1-17, September.
    15. Salomé Kahindo & Stéphane Blancard, 2022. "Reducing pesticide use through optimal reallocation at different spatial scales: The case of French arable farming," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 648-666, July.

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    More about this item

    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy; Research Methods/ Statistical Methods;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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