The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
EMPIRICAL STUDIES IN INDUSTRIAL LOCATION: AN ASSESSMENT OF THEIR METHODS AND RESULTS*
Open accessAbstract
ABSTRACT This paper surveys recent evidence on the determinants of (national and/or foreign) industrial location. We find that the basic analytical framework has remained essentially unaltered since the early contributions of the early 1980s while, in contrast, there have been advances in the quality of the data (more firm and plant level information, geographical disaggregation, panel structure, etc.) and, to a lesser extent, the econometric modeling. We also identify certain determinants (neoclassical and institutional factors) that tend to provide largely consistent results across the reviewed studies. In light of this evidence, we finally suggest future lines of research.
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Cites
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
The Spatial Economy: Cities, Regions, and International Trade
Fujita, M., Krugman, P., & Venables, A. J. (1999) · doi:10.7551/mitpress/6389.001.0001 · Cited by 4,788 · cited 1×
“First, the fact that the New Economic Geography concluded that agglomeration economies arise mainly at local level and decrease as distance increases (Fujita et al. 1999, Fujita and Thisse 2002).”
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Cited by
Pan, X., & Yu, L. (2024) · Energy Economics · doi:10.1016/j.eneco.2024.107334 · Cited by 36
Metadata
- Authors
- Arauzo-Carod, J.-M., Liviano-Solis, D., & Manjón-Antolín, M.
- Venue
- Journal of Regional Science
- Publisher
- Wiley
- Published
- 2009-08-05
- Volume
- 50
- Issue
- 3
- Pages
- 685-711
- ISSN
- 0022-4146 (ISSN-L)
- 1467-9787
- OpenAlex
- W2068147386
- Cited by
- 345
- References
- 3
- FWCI
- 35.50
- Type
- journal article
- Language
- en
- Open access
- green
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- Arauzo-Carod, J.-M., Liviano-Solis, D., & Manjón-Antolín, M. (2009). EMPIRICAL STUDIES IN INDUSTRIAL LOCATION: AN ASSESSMENT OF THEIR METHODS AND RESULTS*. Journal of Regional Science. https://doi.org/10.1111/j.1467-9787.2009.00625.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.