The Geographical Scope of Industrial Location Determinants: An Alternative Approach
AbstractThis paper considers the estimation of the geographical scope of industrial location determinants. While previous studies impose strong assumptions on the weighting scheme of the spatial neighbour matrix, we propose a exible parametrisation that allows for di fferent (distance-based) de finitions of neighbourhood and di fferent weights to the neighbours. In particular, we estimate how far can reach indirect marginal e ffects and discuss how to report them. We also show that the use of smooth transition functions provides tools for policy analysis that are not available in the traditional threshold modelling. Keywords: count data models, industrial location, smooth transition functions, threshold models. JEL-Codes: C25, C52, R11, R30.
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Bibliographic InfoArticle provided by Royal Dutch Geographical Society KNAG in its journal Tijdschrift voor economische en sociale geografie.
Volume (Year): 104 (2013)
Issue (Month): 2 (04)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0040-747X
Other versions of this item:
- Martínez Ibáñez, Óscar & Manjón Antolín, Miguel C. & Arauzo Carod, Josep Maria, 2012. "The Geographical Scope of Industrial Location Determinants: An Alternative Approach," Working Papers 2072/212205, Universitat Rovira i Virgili, Department of Economics.
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
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