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Sectoral agglomeration economies in a panel of European regions

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  • Brülhart, Marius
  • Mathys, Nicole A.

Abstract

We estimate agglomeration economies, defined as the effect of density on labour productivity in European regions. The analysis of Ciccone [Ciccone, A., 2002, Agglomeration effects in Europe, European Economic Review, 46 (2), 213-227.] is extended in two main ways. First, we use dynamic panel estimation techniques (system GMM), thus offering an alternative methodological treatment of the inherent endogeneity problem. Second, the sector dimension in the data allows for disaggregated estimation. Our results confirm the presence of significant agglomeration effects at the aggregate level, with an estimated long-run elasticity of 13%. Repeated cross-section regressions suggest that the strength of agglomeration effects has increased over time. At the sector level, the dominant pattern is of cross-sector "urbanisation" economies and own-sector congestion diseconomies. A notable exception is financial services, for which we find strong positive productivity effects from own-sector density.

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  • Brülhart, Marius & Mathys, Nicole A., 2008. "Sectoral agglomeration economies in a panel of European regions," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 348-362, July.
    • Handle: RePEc:eee:regeco:v:38:y:2008:i:4:p:348-362
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    1. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    2. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    3. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    4. Combes, Pierre-Philippe & Overman, Henry G., 2004. "The spatial distribution of economic activities in the European Union," Handbook of Regional and Urban Economics,in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 64, pages 2845-2909 Elsevier.
    5. Rice, Patricia & Venables, Anthony J. & Patacchini, Eleonora, 2006. "Spatial determinants of productivity: Analysis for the regions of Great Britain," Regional Science and Urban Economics, Elsevier, vol. 36(6), pages 727-752, November.
    6. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    7. Blien, Uwe & Suedekum, Jens & Wolf, Katja, 2006. "Local employment growth in West Germany: A dynamic panel approach," Labour Economics, Elsevier, vol. 13(4), pages 445-458, August.
    8. Combes, Pierre-Philippe & Magnac, Thierry & Robin, Jean-Marc, 2004. "The dynamics of local employment in France," Journal of Urban Economics, Elsevier, vol. 56(2), pages 217-243, September.
    9. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    10. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1077-1106.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Dekle, Robert & Eaton, Jonathan, 1999. "Agglomeration and Land Rents: Evidence from the Prefectures," Journal of Urban Economics, Elsevier, vol. 46(2), pages 200-214, September.
    13. Henderson, J. Vernon, 2003. "Marshall's scale economies," Journal of Urban Economics, Elsevier, vol. 53(1), pages 1-28, January.
    14. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    15. Henderson, Vernon, 1997. "Externalities and Industrial Development," Journal of Urban Economics, Elsevier, vol. 42(3), pages 449-470, November.
    16. Federico Cingano & Fabiano Schivardi, 2004. "Identifying the Sources of Local Productivity Growth," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 720-742, June.
    17. Marius Brülhart & Pamina Koenig, 2005. "New Economic Geography meets Comecon: Regional Wages and Industry Location in Central Europe," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 05.01, Université de Lausanne, Faculté des HEC, DEEP.
    18. Leo Sveikauskas, 1975. "The Productivity of Cities," The Quarterly Journal of Economics, Oxford University Press, vol. 89(3), pages 393-413.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    20. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    21. Gordon H. Hanson, 2000. "Scale Economies and the Geographic Concentration of Industry," NBER Working Papers 8013, National Bureau of Economic Research, Inc.
    22. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics,in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171 Elsevier.
    23. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Ottaviano, Gianmarco I.P. & Pinelli, Dino, 2006. "Market potential and productivity: Evidence from Finnish regions," Regional Science and Urban Economics, Elsevier, vol. 36(5), pages 636-657, September.
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    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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