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 localisation. 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) 52% of them are localised at a 5% confidence level, (ii) localisation mostly takes place at small scales below 50 kilometres, (iii) the degree of localisation is very skewed, and (iv) industries follow broad sectoral patterns with respect to localisation. Depending on the industry, smaller establishments can be the main drivers of both localisation and dispersion. Three-digit sectors show similar patterns of localisation at small scales as well as a tendency to localise at medium scales.
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Bibliographic InfoPaper provided by London School of Economics and Political Science, LSE Library in its series LSE Research Online Documents on Economics with number 581.
Date of creation: Oct 2005
Date of revision:
Publication status: Published in Review of Economic Studies, October, 2005, 72(4), pp. 1077-1106. ISSN: 1467-937X
Localisation; clusters; k-density; spatial statistics. JEL classification codes: C19; R12; L70.;
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 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.
- Duranton, Gilles & Overman, Henry G., 2002. "Testing for Localization Using Micro-Geographic Data," CEPR Discussion Papers 3379, C.E.P.R. Discussion Papers.
- Gilles Duranton & Henry Overman, 2002. "Testing for Localisation Using Micro-Geographic Data," CEP Discussion Papers dp0540, Centre for Economic Performance, LSE.
- J1 - Labor and Demographic Economics - - Demographic Economics
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