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Agglomeration and growth: Cross-country evidence

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  • Brülhart, Marius
  • Sbergami, Federica

Abstract

We investigate the impact of within-country spatial concentration of economic activity on country-level growth, using cross-section OLS and dynamic panel GMM estimation. Agglomeration is measured alternatively through urbanization shares and through indices of spatial concentration based on data for sub-national regions. Across estimation techniques, data sets and variable definitions, we find evidence that supports the "Williamson hypothesis": agglomeration boosts GDP growth only up to a certain level of economic development. The critical level is estimated at some USD 10,000, corresponding roughly to the current per-capita income level of Brazil or Bulgaria. Hence, the tradeoff between national growth and inter-regional equality may gradually lose its relevance. Our results also imply that, in terms of foregone growth, the cost of policies that inhibit economic agglomeration is highest in the poorest countries.

Suggested Citation

  • Brülhart, Marius & Sbergami, Federica, 2009. "Agglomeration and growth: Cross-country evidence," Journal of Urban Economics, Elsevier, vol. 65(1), pages 48-63, January.
    • Handle: RePEc:eee:juecon:v:65:y:2009:i:1:p:48-63
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    1. William Easterly & Ross Levine, 1997. "Africa's Growth Tragedy: Policies and Ethnic Divisions," The Quarterly Journal of Economics, Oxford University Press, vol. 112(4), pages 1203-1250.
    2. 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.
    3. Gilles Duranton, 2007. "From cities to productivity and growth in developing countries," Working Papers tecipa-306, University of Toronto, Department of Economics.
    4. 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.
    5. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
    6. Bertinelli, Luisito & Black, Duncan, 2004. "Urbanization and growth," Journal of Urban Economics, Elsevier, vol. 56(1), pages 80-96, July.
    7. John Luke Gallup & Jeffrey D. Sachs & Andrew D. Mellinger, 1999. "Geography and Economic Development," International Regional Science Review, , vol. 22(2), pages 179-232, August.
    8. 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.
    9. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
    10. J. Vernon Henderson, Zmarak Shalizi, and Anthony J. Venables, 2001. "Geography and development," Journal of Economic Geography, Oxford University Press, vol. 1(1), pages 81-105, January.
    11. Martin, Philippe & I.P. Ottaviano, Gianmarco, 1999. "Growing locations: Industry location in a model of endogenous growth," European Economic Review, Elsevier, vol. 43(2), pages 281-302, February.
    12. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    13. John Luke Gallup & Jeffrey D. Sachs & Andrew Mellinger, 1999. "Geography and Economic Development," CID Working Papers 1, Center for International Development at Harvard University.
    14. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    15. Alberto F. Ades & Edward L. Glaeser, 1995. "Trade and Circuses: Explaining Urban Giants," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 195-227.
    16. 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.
    17. John Luke Gallup & Jeffrey D. Sachs & Andrew Mellinger, 1999. "Geography and Economic Development," CID Working Papers 01A, Center for International Development at Harvard University.
    18. Gallup, J.L. & Sachs, J.D. & Mullinger, A., 1999. "Geography and Economic Development," Papers 1, Chicago - Graduate School of Business.
    19. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    20. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
    21. Brulhart, Marius & Traeger, Rolf, 2005. "An account of geographic concentration patterns in Europe," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 597-624, November.
    22. Martin, Philippe, 1999. "Public policies, regional inequalities and growth," Journal of Public Economics, Elsevier, vol. 73(1), pages 85-105, July.
    23. 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.
    24. Krugman, Paul & Elizondo, Raul Livas, 1996. "Trade policy and the Third World metropolis," Journal of Development Economics, Elsevier, vol. 49(1), pages 137-150, April.
    25. Baldwin, Richard E. & Martin, Philippe, 2004. "Agglomeration and regional growth," 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 60, pages 2671-2711 Elsevier.
    26. Matthieu Crozet & Pamina Koenig, 2005. "The Cohesion vs Growth Tradeoff - Evidence from EU Regions (1980-2000)," ERSA conference papers ersa05p716, European Regional Science Association.
    27. 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.
    28. 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.
    29. Rosenthal, Stuart S. & Strange, William C., 2008. "The attenuation of human capital spillovers," Journal of Urban Economics, Elsevier, vol. 64(2), pages 373-389, September.
    30. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    31. Gilles Duranton, 2008. "Viewpoint: From cities to productivity and growth in developing countries," Canadian Journal of Economics, Canadian Economics Association, vol. 41(3), pages 689-736, August.
    32. 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.
    33. 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.
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    More about this item

    Keywords

    Economic growth Agglomeration Urbanization Dynamic panel estimation;

    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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