IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/8043.html
   My bibliography  Save this paper

Too much of a good thing? On the growth effects of the EU's regional policy

Author

Listed:
  • Becker, Sascha O.
  • Egger, Peter
  • von Ehrlich, Maximilian

Abstract

The European Union (EU) provides grants to disadvantaged regions of member states from two pools, the Structural Funds and the Cohesion Fund. The main goal of the associated transfers is to facilitate convergence of poor regions (in terms of per-capita income) to the EU average. We use data at the NUTS3 level from the last two EU budgetary periods (1994-99 and 2000-06). Using generalized propensity score estimation, we analyze to which extent the goal of fostering growth in the target regions was achieved with the funds provided and whether more transfers generated stronger growth effects or not. We find that, overall, EU transfers enable faster growth in the recipient regions as intended, but we estimate that in 36% of the recipient regions the transfer intensity exceeds the aggregate efficiency maximizing level and in 18% percent of the regions a reduction of transfers would not even reduce their growth. We conclude that some reallocation of the funds across target regions would lead to higher aggregate growth in the EU and could generate even faster convergence than the current scheme does.

Suggested Citation

  • Becker, Sascha O. & Egger, Peter & von Ehrlich, Maximilian, 2010. "Too much of a good thing? On the growth effects of the EU's regional policy," CEPR Discussion Papers 8043, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:8043
    as

    Download full text from publisher

    File URL: http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=8043
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Widgrén, Mika, 2008. "The Impact of Council Voting Rules on EU Decision-Making," Discussion Papers 1162, The Research Institute of the Finnish Economy.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    3. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    4. Becker, Sascha O. & Egger, Peter H. & von Ehrlich, Maximilian, 2010. "Going NUTS: The effect of EU Structural Funds on regional performance," Journal of Public Economics, Elsevier, vol. 94(9-10), pages 578-590, October.
    5. J. Hirshleifer, 1958. "On the Theory of Optimal Investment Decision," Journal of Political Economy, University of Chicago Press, vol. 66, pages 329-329.
    6. Mohl, Philipp & Hagen, Tobias, 2008. "Which is the Right Dose of EU Cohesion Policy for Economic Growth?," ZEW Discussion Papers 08-104, ZEW - Leibniz Centre for European Economic Research.
    7. Murphy, Kevin M & Shleifer, Andrei & Vishny, Robert W, 1989. "Industrialization and the Big Push," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1003-1026, October.
    8. Shapley, L. S. & Shubik, Martin, 1954. "A Method for Evaluating the Distribution of Power in a Committee System," American Political Science Review, Cambridge University Press, vol. 48(3), pages 787-792, September.
    9. Mika Widgrén, 2009. "The Impact of Council Voting Rules on EU Decision-Making -super-1," CESifo Economic Studies, CESifo, vol. 55(1), pages 30-56, March.
    10. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    11. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    12. Martin, Philippe, 1999. "Public policies, regional inequalities and growth," Journal of Public Economics, Elsevier, vol. 73(1), pages 85-105, July.
    13. Philippe Martin, 1999. "Public Policies, Regional Inequalities and Growth," Post-Print hal-03609271, HAL.
    14. Becker Sascha O & Muendler Marc-Andreas, 2008. "The Effect of FDI on Job Security," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-46, April.
    15. Author-Name: Jeffrey D. Sachs & John W. McArthur & Guido Schmidt-Traub & Margaret Kruk & Chandrika Bahadur & Michael Faye & Gordon McCord, 2004. "Ending Africa's Poverty Trap," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 35(1), pages 117-240.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    3. Marica Valente, 2021. "Policy Evaluation of Waste Pricing Programs Using Heterogeneous Causal Effect Estimation," Discussion Papers of DIW Berlin 1980, DIW Berlin, German Institute for Economic Research.
    4. Marica Valente, 2020. "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Papers 2010.01105, arXiv.org, revised Mar 2022.
    5. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    6. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2016. "On the Longitudinal Effects of IT Use on Firm-Level Employment," Information Systems Research, INFORMS, vol. 27(1), pages 6-26, March.
    7. Ida D'Attoma & Silvia Pacei, 2018. "Evaluating the Effects of Product Innovation on the Performance of European Firms by Using the Generalised Propensity Score," German Economic Review, Verein für Socialpolitik, vol. 19(1), pages 94-112, February.
    8. Sylvester Amoako Agyemang & Tomáš Ratinger & Miroslava Bavorová, 2022. "The Impact of Agricultural Input Subsidy on Productivity: The Case of Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(3), pages 1460-1485, June.
    9. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    10. Timo Mitze & Alfredo R. Paloyo & Björn Alecke, 2015. "Is There a Purchase Limit on Regional Growth? A Quasi-experimental Evaluation of Investment Grants Using Matching Techniques," International Regional Science Review, , vol. 38(4), pages 388-412, October.
    11. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    12. Steckenleiter, Carina & Lechner, Michael & Pawlowski, Tim & Schüttoff, Ute, 2019. "Do local public expenditures on sports facilities affect sports participation in Germany?," Economics Working Paper Series 1905, University of St. Gallen, School of Economics and Political Science.
    13. Salima Bouayad-Agha & Nadine Turpin & Lionel Védrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," TEPP Working Paper 2010-17, TEPP.
    14. Peter H. Egger & Maximilian von Ehrlich & Douglas R. Nelson, 2012. "Migration and Trade," The World Economy, Wiley Blackwell, vol. 35(2), pages 216-241, February.
    15. Emiliano Magrini & Pierluigi Montalbano & Silvia Nenci, 2013. "Are the EU trade preferences really effective? A Generalized Propensity Score evaluation of the Southern Mediterranean Countries' case in agriculture and fishery," Working Papers 2/13, Sapienza University of Rome, DISS.
    16. Jie Zhu & Blanca Gallego, 2021. "Continuous Treatment Recommendation with Deep Survival Dose Response Function," Papers 2108.10453, arXiv.org, revised Jun 2022.
    17. Guadalupe Serrano-Domingo & Francisco Requena-Silvente, 2013. "Examining the non-linear relationship between migration and trade," Working Papers 1310, Department of Applied Economics II, Universidad de Valencia.
    18. Wen Ci & Jose Galdo & Marcel Voia & Christopher Worswick, 2015. "Wage returns to mid-career investments in job training through employer supported course enrollment: evidence for Canada," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-25, December.
    19. Stephan, Gesine & Pahnke, André, 2008. "The Relative Effectiveness of Selected Active Labour Market Programmes and the Common Support Problem," IZA Discussion Papers 3767, Institute of Labor Economics (IZA).
    20. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.

    More about this item

    Keywords

    EU regional policy; Generalized propensity score estimation; Quasi-randomized experiment; Regional growth;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    Statistics

    Access and download statistics

    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:cpr:ceprdp:8043. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://www.cepr.org .

    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: (email available below). General contact details of provider: https://www.cepr.org .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.