IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v56y2019i2d10.1007_s00181-017-1366-7.html
   My bibliography  Save this article

Regional productivity growth in the EU since 2000: something is better than nothing

Author

Listed:
  • Nicky Rogge

    () (Katholieke Universiteit Leuven (KU Leuven))

Abstract

Abstract This paper examines productivity growth across NUTS 2-regions in the EU during the period in which the Lisbon Strategy was rolled out (period 2000–2011). A robust nonparametric production frontier estimation technique is used to estimate and decompose regional productivity growth. Results show that in spite of the increased focus on improving competitiveness and productivity in European programs such as the Lisbon Agenda, regional productivity growth has been relatively limited for the whole EU. However, behind the modest average regional growth rate, there are high interregional differences in growth rates. Results also show evidence of a limited convergence trend in the EU-region since 2000.

Suggested Citation

  • Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
  • Handle: RePEc:spr:empeco:v:56:y:2019:i:2:d:10.1007_s00181-017-1366-7
    DOI: 10.1007/s00181-017-1366-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-017-1366-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    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. Rita De Siano & Marcella D'Uva, 2006. "Club convergence in European regions," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 569-574.
    2. Susanto Basu & David N. Weil, 1998. "Appropriate Technology and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1025-1054.
    3. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
    4. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-251, April.
      • Barro, R.J. & Sala-I-Martin, X., 1991. "Convergence," Papers 645, Yale - Economic Growth Center.
      • Barro, Robert J. & Sala-i-Martin, Xavier, 1992. "Convergence," Scholarly Articles 3451299, Harvard University Department of Economics.
    5. Damien Neven & Claudine Gouymte, 1995. "Regional Convergence in the European Community," Journal of Common Market Studies, Wiley Blackwell, vol. 33(1), pages 47-65, March.
    6. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    7. Falko Juessen, 2009. "A distribution dynamics approach to regional GDP convergence in unified Germany," Empirical Economics, Springer, vol. 37(3), pages 627-652, December.
    8. repec:taf:regstd:v:52:y:2018:i:1:p:105-118 is not listed on IDEAS
    9. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-1069, July.
    10. Feldstein, Martin S & Foot, David K, 1971. "The Other Half of Gross Investment: Replacement and Modernization Expenditures," The Review of Economics and Statistics, MIT Press, vol. 53(1), pages 49-58, February.
    11. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 563-606.
    12. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    13. Daron Acemoglu & Melissa Dell, 2010. "Productivity Differences between and within Countries," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 169-188, January.
    14. 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.
    15. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    16. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
    17. Epstein, L. & Denny, M., 1980. "Endogenous capital utilization in a short-run production model : Theory and an empiral application," Journal of Econometrics, Elsevier, vol. 12(2), pages 189-207, February.
    18. Fabio Canova, 2004. "Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 49-77, February.
    19. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    20. Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher, 2014. "The Determinants of Economic Growth in European Regions," Regional Studies, Taylor & Francis Journals, vol. 48(1), pages 44-67, January.
    21. Efthymios Tsionas, 2001. "Regional Convergence and Common, Stochastic Long-run Trends: A Re-examination of the US Regional Data," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 689-696.
    22. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308 Elsevier.
    23. Costas Megir & Danny Quah, 1996. "Regional Convergence Clusters Across Europe," CEP Discussion Papers dp0274, Centre for Economic Performance, LSE.
    24. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.
    25. Kumbhakar, Subal C. & Wang, Hung-Jen, 2005. "Estimation of growth convergence using a stochastic production frontier approach," Economics Letters, Elsevier, vol. 88(3), pages 300-305, September.
    26. Simone Gitto & Paolo Mancuso, 2015. "The contribution of physical and human capital accumulation to Italian regional growth: a nonparametric perspective," Journal of Productivity Analysis, Springer, vol. 43(1), pages 1-12, February.
    27. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2008. "Technological Change and Transition: Relative Contributions to Worldwide Growth During the 1990s," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 461-492, August.
    28. Becker, Sascha O. & Egger, Peter H. & von Ehrlich, Maximilian, 2018. "Effects of EU Regional Policy: 1989-2013," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 143-152.
    29. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    30. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
    31. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
    32. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
    33. Azomahou, Théophile T. & El ouardighi, Jalal & Nguyen-Van, Phu & Pham, Thi Kim Cuong, 2011. "Testing convergence of European regions: A semiparametric approach," Economic Modelling, Elsevier, vol. 28(3), pages 1202-1210, May.
    34. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
    35. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    36. Efthymios Tsionas, 2000. "Regional Growth and Convergence: Evidence from the United States," Regional Studies, Taylor & Francis Journals, vol. 34(3), pages 231-238.
    37. Diewert, W E, 1980. "Capital and the Theory of Productivity Measurement," American Economic Review, American Economic Association, vol. 70(2), pages 260-267, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Economic growth; Production frontier; Nonparametric analysis; European Union; NUTS2-regions;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    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:spr:empeco:v:56:y:2019:i:2:d:10.1007_s00181-017-1366-7. 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: (Sonal Shukla) or (Mallaigh Nolan). General contact details of provider: http://www.springer.com .

    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 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.

    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.