Universitat Rovira i Virgili
Universitat Rovira i Virgili. Departament d'Economia
2007
Empirical studies on industrial location do not typically distinguish between new and relocated establishments. This paper addresses this shortcoming using data on the frequency of these events in municipalities of the same economic-administrative region. This enables us to test not only for differences in their determinants but also for interrelations between start-ups and relocations. Estimates from count regression models for cross-section and panel data show that, although partial effects differ, common patterns arise in “institutional” and “neoclassical” explanatory factors. Also, start-ups and relocations are positive but asymmetrically related. JEL classification: C25, R30, R10. Keywords: cities, count data models, industrial location
English
332 - Regional economics. Territorial economics. Land economics. Housing economics.
Localització industrial; Ciutats; Models economètrics
38
425827 bytes
Documents de treball del Departament d'Economia; 2007-06
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