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Do rural development policy measures really affect farmers' behaviour and performance? A synthetic difference in differences estimation

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  • Roberto Esposti

    (Department of Economics and Social Sciences, Universita' Politecnica delle Marche (UNIVPM))

Abstract

This paper deals with the response of farmers to targeted policy measures. The research question consists of whether and to what extent this response, upon voluntary adoption and eventually driven by private motivations, also generates the outcome of societal interest. Challenges posed by these policies are multiple since they may admit a staggered adoption with often very few, at least initially, treated units. In order to deal with these challenges, the paper adopts a Synthetic Difference-in- Differences approach. Within this causal inference logic, an appropriate theoretical framework is elaborated to model farmers’ behavioural response to the policy distinguishing between the private and societal outcomes. This approach is applied to a balanced sample of Italian farms and to some selected measures of the second pillar of the EU Common Agricultural Policy over the period 2014-2022. Results point to the identification and estimation issues emerging when the entry into the treatment is staggered and treated units are few and heterogeneous. For some policy measures the estimated treatment effect is significant for the private outcome while it seems weaker and more volatile for the societal outcome.

Suggested Citation

  • Roberto Esposti, 2025. "Do rural development policy measures really affect farmers' behaviour and performance? A synthetic difference in differences estimation," Working Papers 494, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:494
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    References listed on IDEAS

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    1. Roberto Esposti & Franco Sotte, 2013. "Evaluating the effectiveness of agricultural and rural policies: an introduction," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(4), pages 535-539, September.
    2. Beatrice Camaioni & Roberto Esposti & Francesco Pagliacci & Franco Sotte, 2016. "How does space affect the allocation of the EU Rural Development Policy expenditure? A spatial econometric assessment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(3), pages 433-473.
    3. Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023. "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers 15907, Institute of Labor Economics (IZA).
    4. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    5. Michael Lechner & Ruth Miquel, 2010. "Identification of the effects of dynamic treatments by sequential conditional independence assumptions," Empirical Economics, Springer, vol. 39(1), pages 111-137, August.
    6. Brown, Calum & Kovács, Eszter & Herzon, Irina & Villamayor-Tomas, Sergio & Albizua, Amaia & Galanaki, Antonia & Grammatikopoulou, Ioanna & McCracken, Davy & Olsson, Johanna Alkan & Zinngrebe, Yves, 2021. "Simplistic understandings of farmer motivations could undermine the environmental potential of the common agricultural policy," Land Use Policy, Elsevier, vol. 101(C).
    7. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    8. Targetti, Stefano & Niedermayr, Andreas & Häfner, Kati & Schaller, Lena, 2024. "New pathways for improved delivery of public goods from agriculture and forestry," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 13(01), May.
    9. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    10. Edoardo Baldoni & Silvia Coderoni & Roberto Esposti, 2021. "Immigrant workforce and agriculture productivity: evidence from Italian farm-level data [Fractionalization]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 805-834.
    11. Roberto Esposti, 2017. "The empirics of decoupling: Alternative estimation approaches of the farm-level production response," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(3), pages 499-537.
    12. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    13. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    14. Christian Stetter & Philipp Mennig & Johannes Sauer, 2022. "Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 723-759.
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    More about this item

    Keywords

    Rural Development Policy; Common Agricultural Policy; Farmers' Decision-Making; Staggered Treatments; Synthetic Difference-inDifferences.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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

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