A Treatise on the Geographical Scale of Agglomeration Externalities and the MAUP
AbstractIn this article, we test to what extent the Modifiable Areal Unit Problem (MAUP) moderates the effect of agglomeration externalities on areal sectoral employment growth by varying the initial geographical scale of analysis. Using spatial cross-regressive modelling, we find different effects of agglomeration forces across geographical scales. As the MAUP is a theoretical as well as a methodological problem, research should not only work with proper statistical specifications, but also relate this more explicitly to hypotheses concerning the geographical scale at which agglomeration externalities operate. .
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Bibliographic InfoArticle provided by FrancoAngeli Editore in its journal SCIENZE REGIONALI.
Volume (Year): 9 (2010)
Issue (Month): 1 ()
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- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
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"Industry-specific firm growth and agglomeration,"
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- Hans R. A. Koster, 2013. "Rocketing Rents The magnitude and attenuation of agglomeration economies in the commercial property market," SERC Discussion Papers 0125, Spatial Economics Research Centre, LSE.
- Matthias Duschl & Antje Schimke & Thomas Brenner & Dennis Luxen, 2014. "Firm Growth and the Spatial Impact of Geolocated External Factors," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 234(2-3), pages 234-256, April.
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