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Relative sources of European regional productivity convergence: A bootstrap frontier approach

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Abstract

We address the issue of Western European regional productivity growth and convergence by means of Data Envelopment Analysis (DEA), decomposing labor productivity into efficiency change, technical change and capital accumulation. The decomposition shows that most regions have fallen behind the production frontier in efficiency and that capital accumulation has had a diverging effect on the labor productivity distribution. We also account for the inherent bias and the stochastic elements in the efficiency estimation using bootstrapping methods. We find that the relative ranking of the bias-corrected efficiency scores remains stable after the bias correction and that the DEA successfully identifies the regions on the production frontier as significantly more efficient than other regions.

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  • Enflo, Kerstin & Hjertstrand, Per, 2006. "Relative sources of European regional productivity convergence: A bootstrap frontier approach," Working Papers 2006:17, Lund University, Department of Economics.
    • Handle: RePEc:hhs:lunewp:2006_017
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    2. 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.
    3. repec:kap:jgeosy:v:19:y:2017:i:4:d:10.1007_s10109-017-0249-y is not listed on IDEAS
    4. Alexander Schiersch & Heike Belitz & Martin Gornig, 2012. "Is Technical Progress Sectorally Concentrated?: An Empirical Analysis for Western European Countries," Discussion Papers of DIW Berlin 1217, DIW Berlin, German Institute for Economic Research.
    5. Johanna Vogel, 2015. "The two faces of R&D and human capital: Evidence from Western European regions," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 525-551, August.
    6. repec:eee:ecmode:v:71:y:2018:i:c:p:45-58 is not listed on IDEAS
    7. Amjad Naveed & Nisar Ahmad, 2016. "Labour productivity convergence and structural changes: simultaneous analysis at country, regional and industry levels," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-17, December.
    8. Portnov, Boris A. & Felsenstein, Daniel, 2010. "On the suitability of income inequality measures for regional analysis: Some evidence from simulation analysis and bootstrapping tests," Socio-Economic Planning Sciences, Elsevier, vol. 44(4), pages 212-219, December.
    9. Lucio Morettini & Giulio Perani & Giorgio Sirilli, 2013. "The Concentration of Knowledge Activities in Italy: An Analysis at Local Level," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(2), pages 28-39.
    10. Mugera, Amin W. & Langemeier, Michael R., 2008. "Labor Productivity Growth And Convergence In The Kansas Farm Sector: A Tripartite Decomposition Using The Dea Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6069, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    12. Kounetas, Kostas & Napolitano, Oreste, 2015. "Too much EMU? An investigation of technology gaps," MPRA Paper 67600, University Library of Munich, Germany.
    13. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
    14. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    15. Jakub Growiec, 2012. "The World Technology Frontier: What Can We Learn from the US States?-super-," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 777-807, December.
    16. Ron Boschma & Simona Iammarino & Raffaele Paci & Jordy Suriñach & Corinne Autant-Bernard & Sylvie Chalaye & Elisa Gagliardini & Stefano Usai, 2017. "European Knowledge Neighbourhood: Knowledge Production in EU Neighbouring Countries and Intensity of the Relationship with EU Countries," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(1), pages 52-75, February.
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    18. M. Foddi & S. Usai, 2012. "Regional innovation performance in Europe," Working Paper CRENoS 201221, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Marta Foddi & Stefano Usai, 2013. "Regional Knowledge Performance in Europe," Growth and Change, Wiley Blackwell, vol. 44(2), pages 258-286, June.
    20. Kerekes, Monika, 2007. "Analyzing patterns of economic growth: a production frontier approach," Discussion Papers 2007/15, Free University Berlin, School of Business & Economics.
    21. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    22. Roberto Ezcurra & Belén Iráizoz & Manuel Rapún, 2008. "Regional Efficiency in the European Union," European Planning Studies, Taylor & Francis Journals, vol. 16(8), pages 1121-1143, September.
    23. Kounetas, Kostas & Napolitano, Oreste & Stavropoulos, Spyridon & Burger, Martijn, 2018. "European Regional Productive Performance under a Metafrontier Framework. The role of patents and human capital on technology gap?," MPRA Paper 88957, University Library of Munich, Germany, revised 17 Jul 2018.

    More about this item

    Keywords

    Bootstrap; DEA; Efficiency; Regional Convergence;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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