Duranton, Gilles and Overman, Henry G. ORCID: 0000-0002-3525-7629 (2002) Testing for localisation using micro-geographic data. CEPDP (540). London School of Economics and Political Science. Centre for Economic Performance, London, UK. ISBN 0753015617
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Abstract
To 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) only 51% of them are localised at a 5% confidence level, (ii) localisation takes place mostly 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.
Item Type: | Monograph (Discussion Paper) |
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Official URL: | http://cep.lse.ac.uk |
Additional Information: | © 2002 the authors |
Divisions: | Centre for Economic Performance Geography & Environment |
Subjects: | H Social Sciences > HB Economic Theory H Social Sciences > HD Industries. Land use. Labor |
JEL classification: | R - Urban, Rural, and Regional Economics > R1 - General Regional Economics > R12 - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C19 - Other L - Industrial Organization > L7 - Industry Studies: Primary Products and Construction > L70 - General |
Date Deposited: | 29 Jul 2008 08:54 |
Last Modified: | 13 Sep 2024 19:46 |
URI: | http://eprints.lse.ac.uk/id/eprint/20071 |
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