The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Testing for Localization Using Micro-Geographic Data
Open accessAbstract
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 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 U.K. data-set. For four-digit industries, we find that (i) 52% of them are localized at a 5% confidence level, (ii) localization mostly takes place at small scales below 50 km, (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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Cites
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“…variation to be taken into account but the exhaustive nature of our data means that we are able to ignore it in what follows (see Efron and Tibshlrani, 1993 and Quah, 1997, for further discussion of these issues as well as Davison and Hinkley, 1997 for a discussion mo.re focused on point patterns).”
Cressie, N. A. C. (1993) · Wiley Series in Probability and Statistics · doi:10.1002/9781119115151 · Cited by 6,507
Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach
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Cited by
Identifying Technology Spillovers and Product Market Rivalry
(2013) · Econometrica · doi:10.3982/ecta9466 · Cited by 1,758
The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States
Glaeser, E. L., & Gottlieb, J. D. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.4.983 · Cited by 1,082
THE MAGNITUDE AND CAUSES OF AGGLOMERATION ECONOMIES
Puga, D. (2010) · Journal of Regional Science · doi:10.1111/j.1467-9787.2009.00657.x · Cited by 939
Clusters, convergence, and economic performance
Delgado, M., Porter, M. E., & Stern, S. (2014) · Research Policy · doi:10.1016/j.respol.2014.05.007 · Cited by 853
Glaeser, E. L., & Kerr, W. R. (2009) · Journal of Economics & Management Strategy · doi:10.1111/j.1530-9134.2009.00225.x · Cited by 452
Metadata
- Authors
- Duranton, G., & Overman, H. G.
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-10
- Volume
- 72
- Issue
- 4
- Pages
- 1077-1106
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W1533907815
- Cited by
- 1,016
- References
- 15
- FWCI
- 69.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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