Testing for Localization Using Micro-Geographic Data
AbstractTo study the detailed location patterns of industries, and particularly the tendency for industries to cluster relative to overall manufacturing, we develop distance-based tests of localization. In contrast to previous studies, our approach allows us to assess the statistical significance of departures from randomness. In addition, we treat space as continuous instead of using an arbitrary collection of geographical units. This avoids problems relating to scale and borders. We apply these tests to an exhaustive UK data set. For four-digit industries, we find that (i) only 51% of them are localized at a 5% confidence level, (ii) localization takes place mostly at small scales below 50 kilometres, (iii) the degree of localization is very skewed, and (iv) industries follow broad sectoral patterns with respect to localization. Depending on the industry, smaller establishments can be the main drivers of both localization and dispersion. Three-digit sectors show similar patterns of localization at small scales as well as a tendency to localize at medium scales.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 3379.
Date of creation: May 2002
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Other versions of this item:
- 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.
- Gilles Duranton & Henry Overman, 2002. "Testing for Localisation Using Micro-Geographic Data," CEP Discussion Papers dp0540, Centre for Economic Performance, LSE.
- Gilles Duranton & Henry G. Overman, 2002. "Testing for localisation using micro-geographic data," LSE Research Online Documents on Economics 20071, London School of Economics and Political Science, LSE Library.
- Duranton, Gilles & Henry G Overman, 2003. "Testing for Localisation Using Micro-Geographic Data," Royal Economic Society Annual Conference 2003 69, Royal Economic Society.
- Gilles Duranton & Henry G. Overman, 2005. "Testing for localization using micro-geographic data," LSE Research Online Documents on Economics 581, London School of Economics and Political Science, LSE Library.
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-03-14 (All new papers)
- NEP-GEO-2003-03-14 (Economic Geography)
- NEP-URE-2003-03-14 (Urban & Real Estate Economics)
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