Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/129945
Authors: 
Chávez-Martín del Campo, Juan Carlos
García Loredo, Katia
Year of Publication: 
2015
Series/Report no.: 
Working Papers, Banco de México 2015-19
Abstract (Translated): 
This research presents a methodology to identify regional clusters based on the estimation of location's coefficients and measures of spatial autocorrelation. Local Moran I index is used as a measure of spatial autocorrelation, which allows to obtain a more varied typology of regional clusters. The methodology was applied to both the Mexican manufacturing industry as a whole, and its partition in 14 industry groups for 1993 and 2008. The results indicate the existence of heterogeneity in regional patterns of agglomeration of manufacturing activity at the aggregate level and at group level. It is shown that the process of relocation of manufacturing industry that occurred after the entry into force of the North American Free Trade Agreement (NAFTA) differentially affected the patterns of agglomeration of activity in different regions of the country.
Subjects: 
Spatial autocorrelation
Location coefficient
Regional clusters
Manufacturing
JEL: 
L60
R11
R12
Document Type: 
Working Paper
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