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Do agri-environmental schemes help reduce herbicide use? Evidence from a natural experiment in France

Author

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  • Laure Kuhfuss

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier, UM1 - Université Montpellier 1)

  • Julie Subervie

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

Agri-environmental schemes (AES) are a central component of the environmental policy of the European Union. Despite widespread interest and investment in AESs, few of these pro- grams have been carefully evaluated and doubts are often expressed about the effectiveness of voluntary programs. The purpose of this article is to estimate the additional effects of AESs targeting nonpoint source pollution from pesticides, focusing on one emblematic case study: herbicide use in vineyards. We use original data collected from winegrowers participating in AESs in the south of France, and we use exogenous variation in the timing of the implemen- tation of the AESs as a natural experiment. We show that the quantity of herbicides used by participants in the programin 2012 was around 30%belowwhat theywould have usedwithout the program, while the impact was significantly higher in 2011 - around 50% - presumably be- cause of higher weed pressure. Although significant, these impacts remain smaller than what had been expected by policymakers. Focusing on the "zero herbicide between the vine rows" option, which is both the most often chosen as well as the least stringent among the mea- sures,we moreover showthe presence of windfall effects. Simple extrapolation of these results suggests that this level of effectiveness may not be sufficient to ensurewater quality in thewa- tersheds targeted by the AES.

Suggested Citation

  • Laure Kuhfuss & Julie Subervie, 2015. "Do agri-environmental schemes help reduce herbicide use? Evidence from a natural experiment in France," Working Papers hal-01199075, HAL.
  • Handle: RePEc:hal:wpaper:hal-01199075
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    References listed on IDEAS

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    1. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    2. Rob Fraser, 2009. "Land Heterogeneity, Agricultural Income Forgone and Environmental Benefit: An Assessment of Incentive Compatibility Problems in Environmental Stewardship Schemes," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 190-201, February.
    3. Chabé-Ferret, Sylvain & Subervie, Julie, 2013. "How much green for the buck? Estimating additional and windfall effects of French agro-environmental schemes by DID-matching," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 12-27.
    4. Todd, Petra E., 2008. "Evaluating Social Programs with Endogenous Program Placement and Selection of the Treated," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 60, pages 3847-3894, Elsevier.
    5. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    6. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    7. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    8. Chihiro Udagawa & Ian Hodge & Mark Reader, 2014. "Farm Level Costs of Agri-environment Measures: The Impact of Entry Level Stewardship on Cereal Farm Incomes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 212-233, January.
    9. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    2. Calvet, Coralie & Le Coent, Philippe & Napoleone, Claude & Quétier, Fabien, 2019. "Challenges of achieving biodiversity offset outcomes through agri-environmental schemes: Evidence from an empirical study in Southern France," Ecological Economics, Elsevier, vol. 163(C), pages 113-125.
    3. Philippe Le Coent & Coralie Calvet, 2016. "Challenges of achieving biodiversity offsetting through agri-environmental schemes: evidence from an empirical study," Working Papers 16-10, LAMETA, Universtiy of Montpellier.
    4. Jacqmin, Julien & Lefebvre, Mathieu, 2016. "Does sector-specific experience matter? The case of European higher education ministers," Research Policy, Elsevier, vol. 45(5), pages 987-998.

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    More about this item

    Keywords

    agri-environmental scheme; herbicides; natural experiment; nonpoint source pollution; pesticides; water quality;
    All these keywords.

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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