IDEAS home Printed from https://ideas.repec.org/p/lau/crdeep/07.04.html
   My bibliography  Save this paper

Sectoral Agglomeration Economies in a Panel of European Regions

Author

Listed:
  • Marius BRÜLHART
  • Nicole A. MATHYS

Abstract

We estimate agglomeration economies, defined as the effect of density on labour productivity in European regions. The analysis of Ciccone (2002) 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 percent. Repeated crosssection 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.

Suggested Citation

  • Marius BRÜLHART & Nicole A. MATHYS, 2007. "Sectoral Agglomeration Economies in a Panel of European Regions," Cahiers de Recherches Economiques du Département d'économie 07.04, Université de Lausanne, Faculté des HEC, Département d’économie.
  • Handle: RePEc:lau:crdeep:07.04
    as

    Download full text from publisher

    File URL: http://www.hec.unil.ch/deep/textes/07.04.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Marius Brülhart & Pamina Koenig, 2006. "New economic geography meets Comecon," Post-Print halshs-00754159, HAL.
    8. Leo Sveikauskas, 1975. "The Productivity of Cities," The Quarterly Journal of Economics, Oxford University Press, vol. 89(3), pages 393-413.
    9. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    10. 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.
    11. Gordon H. Hanson, 2000. "Scale Economies and the Geographic Concentration of Industry," NBER Working Papers 8013, National Bureau of Economic Research, Inc.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Marius Brülhart & Pamina Koenig, 2006. "New economic geography meets Comecon: Regional wages and industry location in central Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(2), pages 245-267, April.
    19. Henderson, J. Vernon, 2003. "Marshall's scale economies," Journal of Urban Economics, Elsevier, vol. 53(1), pages 1-28, January.
    20. 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.
    21. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    22. 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.
    23. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    24. 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.
    25. 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.
    26. Henderson, Vernon, 1997. "Externalities and Industrial Development," Journal of Urban Economics, Elsevier, vol. 42(3), pages 449-470, November.
    27. 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.
    28. 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.
    29. J. V. Henderson & J. F. Thisse (ed.), 2004. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 4, number 4.
    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. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.
    2. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    3. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    4. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    5. Xiuyan Liu & Xingmin Yin, 2010. "Spatial externalities and regional income inequality: Evidence from China’s prefecture-level data," Frontiers of Economics in China, Springer;Higher Education Press, vol. 5(2), pages 325-338, June.
    6. Henry Overman & Patricia Rice & Anthony Venables, 2010. "Economic Linkages across Space," Regional Studies, Taylor & Francis Journals, vol. 44(1), pages 17-33.
    7. Békés, Gábor & Harasztosi, Péter, 2013. "Agglomeration premium and trading activity of firms," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 51-64.
    8. Martin, Philippe & Mayer, Thierry & Mayneris, Florian, 2011. "Spatial concentration and plant-level productivity in France," Journal of Urban Economics, Elsevier, vol. 69(2), pages 182-195, March.
    9. Bebonchu Atems & Grayden Shand, 2018. "An empirical analysis of the relationship between entrepreneurship and income inequality," Small Business Economics, Springer, vol. 51(4), pages 905-922, December.
    10. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2014. "Spatial agglomeration and firm exit: a spatial dynamic analysis for Italian provinces," Small Business Economics, Springer, vol. 43(1), pages 213-228, June.
    11. 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.
    12. Kurt Geppert & Andreas Stephan, 2008. "Regional disparities in the European Union: Convergence and agglomeration," Papers in Regional Science, Wiley Blackwell, vol. 87(2), pages 193-217, June.
    13. Giulio Cainelli & Andrea Fracasso & Giuseppe Vittucci Marzetti, 2015. "Spatial agglomeration and productivity in Italy: A panel smooth transition regression approach," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 39-67, November.
    14. Michaela Fuchs, 2011. "How important are agglomeration effects for plant performance? Empirical evidence for Germany," ERSA conference papers ersa11p912, European Regional Science Association.
    15. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    16. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    17. Michaela Fuchs & Udo Brixy, 2011. "How important are plant and regional characteristics for employment dynamics? Plant-level evidence for Germany," ERSA conference papers ersa10p243, European Regional Science Association.
    18. Südekum, Jens, 2008. "Convergence of the skill composition across German regions," Regional Science and Urban Economics, Elsevier, vol. 38(2), pages 148-159, March.
    19. Trax, Michaela & Brunow, Stephan & Suedekum, Jens, 2015. "Cultural diversity and plant-level productivity," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 85-96.
    20. repec:spo:wpecon:info:hdl:2441/10145 is not listed on IDEAS
    21. Vogel, Johanna, 2013. "Regional Convergence in Europe: A Dynamic Heterogeneous Panel Approach," MPRA Paper 51794, University Library of Munich, Germany.

    More about this item

    Keywords

    employment density; productivity; european regions; dynamic panel GMM;
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:lau:crdeep:07.04. 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://edirc.repec.org/data/deelsch.html .

    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: Michèle Jaccoud Ramseier (email available below). General contact details of provider: https://edirc.repec.org/data/deelsch.html .

    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.