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Are Grassland Conservation Programs a Cost-Effective Way to Fight Climate Change? Evidence from France

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  • Chabé-Ferret, Sylvain
  • Voia, Anca

Abstract

Grasslands, especially when extensively managed and when replacing croplands, store Green-House Gases. As a result, Grassland Conservation Programs, that pay farmers for maintaining grassland cover, might be an effective way to combat climate change, if they succeed in triggering an increase in grassland cover for a reasonable amount of money. In this paper, we use a natural experiment to estimate the cost-effectiveness of the French Grassland Conservation Program, the largest of such programs in the world. We exploit a change in the eligibility requirements for the program that generated a sizable increase in the proportion of participants in the communes most affected by the program. We find that the expansion of the program leads to a small in- crease in grassland area, mainly at the expense of croplands, which implies that the program expansion increased carbon storage. We estimate that the climate benefits from the program are at most equal to 19%±37% of its costs. The program is thus not cost-effective for fighting climate change, especially when compared with forest conservation programs in developing countries whose benefits have been estimated to exceed costs by a factor of two. When taking into account the other benefits brought about by grassland, we find the benefits of the program to be equal to 32%±62% of its costs.

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  • Chabé-Ferret, Sylvain & Voia, Anca, 2019. "Are Grassland Conservation Programs a Cost-Effective Way to Fight Climate Change? Evidence from France," SocArXiv cx8j6, Center for Open Science.
  • Handle: RePEc:osf:socarx:cx8j6
    DOI: 10.31219/osf.io/cx8j6
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    1. Jayachandran, Seema & de Laat, Joost & Lambin, Eric F. & Stanton, Charlotte, 2016. "Cash for Carbon: A Randomized Controlled Trial of Payments for Ecosystem Services to Reduce Deforestation," CEPR Discussion Papers 11349, C.E.P.R. Discussion Papers.
    2. 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.
    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. Cyrus Samii & Matthew Lisiecki & Parashar Kulkarni & Laura Paler & Larry Chavis & Birte Snilstveit & Martina Vojtkova & Emma Gallagher, 2014. "Effects of Payment for Environmental Services (PES) on Deforestation and Poverty in Low and Middle Income Countries: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 10(1), pages 1-95.
    5. Jennifer M. Alix-Garcia & Katharine R. E. Sims & Patricia Yañez-Pagans, 2015. "Only One Tree from Each Seed? Environmental Effectiveness and Poverty Alleviation in Mexico's Payments for Ecosystem Services Program," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 1-40, November.
    6. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    7. Kuhfuss, Laure & Subervie, Julie, 2018. "Do European Agri-environment Measures Help Reduce Herbicide Use? Evidence From Viticulture in France," Ecological Economics, Elsevier, vol. 149(C), pages 202-211.
    8. Linda Arata & Paolo Sckokai, 2016. "The Impact of Agri-environmental Schemes on Farm Performance in Five E.U. Member States: A DID-Matching Approach," Land Economics, University of Wisconsin Press, vol. 92(1), pages 167-186.
    9. Henrik J. Kleven & Mazhar Waseem, 2013. "Using Notches to Uncover Optimization Frictions and Structural Elasticities: Theory and Evidence from Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 669-723.
    10. Christensen, Peter & Francisco, Paul & Myers, Erica & Nogueira Meirelles De Souza, Mateus, 2019. "Decomposing the Wedge: Mechanisms Driving the Gap Between Projected and Realized Returns in Energy Efficiency Programs," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 291226, Agricultural and Applied Economics Association.
    11. Lee J. Alston & Krister Andersson & Steven M. Smith, 2013. "Payment for Environmental Services: Hypotheses and Evidence," Annual Review of Resource Economics, Annual Reviews, vol. 5(1), pages 139-159, June.
    12. Kenneth Gillingham & James H. Stock, 2018. "The Cost of Reducing Greenhouse Gas Emissions," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 53-72, Fall.
    13. Birte Snilsveit & Jennifer Stevenson & Laurenz Langer & Natalie Tannous & Zafeer Ravat & Promise Nduku & Joshua Polanin & Ian Shemilt & John Eyers & Paul J. Ferraro, 2019. "Incentives for climate mitigation in the land use sector—the effects of payment for environmental services on environmental and socioeconomic outcomes in low‐ and middle‐income countries: A mixed‐meth," Campbell Systematic Reviews, John Wiley & Sons, vol. 15(3), September.
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    Cited by:

    1. Fabre, Anaïs, 2022. "Robustness of Two-Way Fixed Effects Estimators to Heterogeneous Treatment Effects," TSE Working Papers 22-1362, Toulouse School of Economics (TSE), revised Jun 2023.

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    More about this item

    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
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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