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Agglomeration and Growth : Cross-Country Evidence

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  • Marius BRÜLHART
  • Federica SBERGAMI

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 measures of urbanization 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. This implies that the tradeoff between national growth and inter-regional equality may gradually lose its relevance.

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Bibliographic Info

Paper provided by Université de Lausanne, Faculté des HEC, DEEP in its series Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) with number 08.04.

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Length: 35 pages
Date of creation: Aug 2008
Date of revision:
Publication status: Published in Journal of Urban Economics, 65(1), January 2009, pp. 48-63
Handle: RePEc:lau:crdeep:08.04

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Postal: Université de Lausanne, Faculté des HEC, DEEP, Internef, CH-1015 Lausanne
Phone: ++41 21 692.33.64
Fax: ++41 21 692.33.05
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Web page: http://www.hec.unil.ch/deep/publications/cahiers/series
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Keywords: economic growth; agglomeration; urbanization; dynamic panel estimation;

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