IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v113y2022ics0264837721006475.html
   My bibliography  Save this article

Environmental and farm impacts of the EU RDP agri-environmental measures: Evidence from Slovak regions

Author

Listed:
  • Michalek, Jerzy

Abstract

Building on recent advances in the counterfactual impact evaluation, the paper illustrates the application of the area-based versions of the DID-matching and the Generalised Propensity Score Matching (GPSM) approaches to estimate impacts of the EU agri-environmental measures (AEM) on the quality of surface and underground waters, the GHG emissions from livestock as well as on economic results of farms supported by AEM in the framework of the Rural Development Programme (RDP) in selected two regions in Slovakia. The applied approach in combination with GIS and socio-economic (e.g. FADN) data allows to address several important sources of selection bias originated from disregarding important confounding site-specific factors that in majority of the AEM impact evaluations were treated as “unobservable” and from which many previous studies suffer. The approach is therefore highly relevant for assessing the impacts of the AEM in regions with diversified local site-specific characteristics. Another advantage of the applied approach is the coverage of the whole territory and calculation of impacts of the AEM support straightforwardly for the total area delineated by its territorial borders without an extrapolation of micro- results to regional/macro levels. Our estimates show that the effects of the AEM on the selected impact indicators were rather mixed but only in part favourable from a policy perspective.

Suggested Citation

  • Michalek, Jerzy, 2022. "Environmental and farm impacts of the EU RDP agri-environmental measures: Evidence from Slovak regions," Land Use Policy, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:lauspo:v:113:y:2022:i:c:s0264837721006475
    DOI: 10.1016/j.landusepol.2021.105924
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837721006475
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2021.105924?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Jerzy Michalek & Pavel Ciaian & D'Artis Kancs, 2016. "Investment Crowding Out: Firm-Level Evidence from Northern Germany," Regional Studies, Taylor & Francis Journals, vol. 50(9), pages 1579-1594, September.
    3. J. A. Finn & F. Bartolini & D. Bourke & I. Kurz & D. Viaggi, 2009. "Ex post environmental evaluation of agri-environment schemes using experts' judgements and multicriteria analysis," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 52(5), pages 717-737.
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Cisilino, Federica & Bodini, Antonella & Zanoli, Agostina & Lasorella, Maria Valentina, 2018. "Exploring Agri-environmental effectiveness using counterfactual analysis," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271958, European Association of Agricultural Economists.
    6. Riccardo D’Alberto & Matteo Zavalloni & Meri Raggi & Davide Viaggi, 2018. "AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    7. Ratinger, T. & Medonos, Tomas & Hruška, M., 2013. "An Assessment of the Differentiated Effects of the Investment Support to Agricultural Modernisation: the Case of the Czech Republic," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(4), pages 1-12, December.
    8. 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.
    9. Jerzy Michalek & Pavel Ciaian & d’Artis Kancs, 2014. "Capitalization of the Single Payment Scheme into Land Value: Generalized Propensity Score Evidence from the European Union," Land Economics, University of Wisconsin Press, vol. 90(2), pages 260-289.
    10. Yann Desjeux & Pierre Dupraz & Tom Kuhlman & Maria Luisa Paracchini & Rolf Michels & Élise Maigné & Stijn Reinhard, 2015. "Evaluating the impact of rural development measures on nature value indicators at different spatial levels: Application to France and The Netherlands," Post-Print hal-02638882, HAL.
    11. 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.
    12. Valeria Piñeiro & Joaquín Arias & Jochen Dürr & Pablo Elverdin & Ana María Ibáñez & Alison Kinengyere & Cristian Morales Opazo & Nkechi Owoo & Jessica R. Page & Steven D. Prager & Maximo Torero, 2020. "A scoping review on incentives for adoption of sustainable agricultural practices and their outcomes," Nature Sustainability, Nature, vol. 3(10), pages 809-820, October.
    13. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    14. Börner, Jan & Baylis, Kathy & Corbera, Esteve & Ezzine-de-Blas, Driss & Honey-Rosés, Jordi & Persson, U. Martin & Wunder, Sven, 2017. "The Effectiveness of Payments for Environmental Services," World Development, Elsevier, vol. 96(C), pages 359-374.
    15. Olivier Deschenes & Kyle C. Meng, 2018. "Quasi-Experimental Methods in Environmental Economics: Opportunities and Challenges," NBER Working Papers 24903, National Bureau of Economic Research, Inc.
    16. Garrone, Maria & Emmers, Dorien & Olper, Alessandro & Swinnen, Johan, 2019. "Jobs and agricultural policy: Impact of the common agricultural policy on EU agricultural employment," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    17. Desjeux, Yann & Dupraz, Pierre & Latruffe, Laure & Maigne, Elise & Cahuzac, Eric, 2014. "Evaluating the impact of rural development measures on farm labour use: a spatial approach," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182817, European Association of Agricultural Economists.
    18. Riccardo Crescenzi & Mara Giua, 2018. "One or Many Cohesion Policies of the European Union? On the Diverging Impacts of Cohesion Policy across Member States," SERC Discussion Papers 0230, Centre for Economic Performance, LSE.
    19. Clapp, John M. & Rodriguez, Mauricio & Thrall, Grant, 1997. "How GIS Can Put Urban Economic Analysis on the Map," Journal of Housing Economics, Elsevier, vol. 6(4), pages 368-386, December.
    20. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    21. 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.
    22. I.J. Bateman & A.P. Jones & A.A. Lovett & I.R. Lake & B.H. Day, 2002. "Applying Geographical Information Systems (GIS) to Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 219-269, June.
    23. Martin Petrick & Patrick Zier, 2011. "Regional employment impacts of Common Agricultural Policy measures in Eastern Germany: a difference‐in‐differences approach," Agricultural Economics, International Association of Agricultural Economists, vol. 42(2), pages 183-193, March.
    24. Javier Castaño & Maria Blanco & Pilar Martinez, 2019. "Reviewing Counterfactual Analyses to Assess Impacts of EU Rural Development Programmes: What Lessons Can Be Learned from the 2007–2013 Ex-Post Evaluations?," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
    25. 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.
    26. Philipp Mennig & Johannes Sauer, 2020. "The impact of agri-environment schemes on farm productivity: a DID-matching approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1045-1093.
    27. Henders, Sabine & Ostwald, Madelene, 2014. "Accounting methods for international land-related leakage and distant deforestation drivers," Ecological Economics, Elsevier, vol. 99(C), pages 21-28.
    28. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    29. Fisher, Brendan & Turner, R. Kerry & Morling, Paul, 2009. "Defining and classifying ecosystem services for decision making," Ecological Economics, Elsevier, vol. 68(3), pages 643-653, January.
    30. Jerzy Michalek & Pavel Ciaian & Federica Di Marcantonio, 2020. "Regional impacts of the EU Rural Development Programme: Poland’s food processing sector," Regional Studies, Taylor & Francis Journals, vol. 54(10), pages 1389-1401, October.
    31. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    32. Jule Thober & Birgit Müller & Jürgen Groeneveld & Volker Grimm, 2017. "Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-8.
    33. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rolf Bergs & Rüdiger Budde, 2022. "The potential of small-scale spatial data in regional science," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(2), pages 97-110, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Uehleke, Reinhard & Petrick, Martin & Hüttel, Silke, 2022. "Evaluations of agri-environmental schemes based on observational farm data: The importance of covariate selection," Land Use Policy, Elsevier, vol. 114(C).
    2. Bartolini, Fabio & Vergamini, Daniele & Longhitano, Davide & Povellato, Andrea, 2021. "Do differential payments for agri-environment schemes affect the environmental benefits? A case study in the North-Eastern Italy," Land Use Policy, Elsevier, vol. 107(C).
    3. Whelan, Adele & McGuinness, Seamus & Barrett, Alan, 2021. "Review of International Approaches to Evaluating Rural and Community Development Investment and Supports," Research Series, Economic and Social Research Institute (ESRI), number RS124, June.
    4. Cisilino, Federica & Bodini, Antonella & Zanoli, Agostina, 2019. "Rural development programs’ impact on environment: An ex-post evaluation of organic faming," Land Use Policy, Elsevier, vol. 85(C), pages 454-462.
    5. Bertoni, Danilo & Curzi, Daniele & Aletti, Giacomo & Olper, Alessandro, 2020. "Estimating the effects of agri-environmental measures using difference-in-difference coarsened exact matching," Food Policy, Elsevier, vol. 90(C).
    6. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    7. Ito, Junichi & Feuer, Hart N. & Kitano, Shinichi & Asahi, Haruka, 2019. "Assessing the effectiveness of Japan's community-based direct payment scheme for hilly and mountainous areas," Ecological Economics, Elsevier, vol. 160(C), pages 62-75.
    8. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    9. Amer Ait Sidhoum & Philipp Mennig & Johannes Sauer, 2023. "Do agri-environment measures help improve environmental and economic efficiency? Evidence from Bavarian dairy farmers," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 918-953.
    10. Zoltán Bakucs & Imre Fertő & Zsófia Benedek, 2019. "Success or Waste of Taxpayer Money? Impact Assessment of Rural Development Programs in Hungary," Sustainability, MDPI, vol. 11(7), pages 1-23, April.
    11. Riccardo D’Alberto & Matteo Zavalloni & Meri Raggi & Davide Viaggi, 2018. "AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    12. Christian Volpe Martincus, 2010. "Odyssey in International Markets: An Assessment of the Effectiveness of Export Promotion in Latin America and the Caribbean," IDB Publications (Books), Inter-American Development Bank, number 16458, February.
    13. Cristina SALVIONI & Dario SCIULLI, 2018. "Rural development policy in Italy: the impact of growth-oriented measures on farm outcomes," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(3), pages 115-130.
    14. Javier Castaño & Maria Blanco & Pilar Martinez, 2019. "Reviewing Counterfactual Analyses to Assess Impacts of EU Rural Development Programmes: What Lessons Can Be Learned from the 2007–2013 Ex-Post Evaluations?," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
    15. Amer Ait Sidhoum & Carolin Canessa & Johannes Sauer, 2023. "Effects of agri‐environment schemes on farm‐level eco‐efficiency measures: Empirical evidence from EU countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 551-569, June.
    16. Doris Läpple & Thia Hennessy, 2015. "Assessing the Impact of Financial Incentives in Extension Programmes: Evidence From Ireland," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(3), pages 781-795, September.
    17. Tsakiridis, Andreas & O’Donoghue, Cathal & Ryan, Mary & Cullen, Paula & Ó hUallacháin, Daire & Sheridan, Helen & Stout, Jane, 2022. "Examining the relationship between farmer participation in an agri-environment scheme and the quantity and quality of semi-natural habitats on Irish farms," Land Use Policy, Elsevier, vol. 120(C).
    18. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," SOEPpapers on Multidisciplinary Panel Data Research 883, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. Esposti, Roberto, 2015. "To match, not to matchm how to match: Estimating the farm-level impact of the 2005 CAP-first pillar reform," 2015 Conference, August 9-14, 2015, Milan, Italy 211625, International Association of Agricultural Economists.
    20. Christian Stetter & Philipp Mennig & Johannes Sauer, 2022. "Using Machine Learning to Identify Heterogeneous Impacts of Agri-Environment Schemes in the EU: A Case Study [The impact of agri-environmental schemes on farm performance in five EU member States: ," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 723-759.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:113:y:2022:i:c:s0264837721006475. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.