A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Location quotients versus spatial autocorrelation in identifying potential cluster regions
Abstract Most cluster-based economic development programs use co-location to initially identify the spatial footprint of cluster areas. Geographic proximity (co- location) is a necessary, but not a sufficient, condition for potential clustering activity. Therefore, an assessment of industry location and density patterns becomes the first phase in the identification of potential cluster regions to be included in a cluster driven development policy. This paper compares the use of location quotients and Getis–Ord Gi* in the identification of potential cluster regions in the transportation equipment industry of four states in the Midwestern USA. Also, both location quotients and Gi* are used to classify counties with respect to their concentration of transportation equipment manufacturing.
Location quotients versus spatial autocorrelation in identifying potential cluster regions
Abstract Most cluster-based economic development programs use co-location to initially identify the spatial footprint of cluster areas. Geographic proximity (co- location) is a necessary, but not a sufficient, condition for potential clustering activity. Therefore, an assessment of industry location and density patterns becomes the first phase in the identification of potential cluster regions to be included in a cluster driven development policy. This paper compares the use of location quotients and Getis–Ord Gi* in the identification of potential cluster regions in the transportation equipment industry of four states in the Midwestern USA. Also, both location quotients and Gi* are used to classify counties with respect to their concentration of transportation equipment manufacturing.
Location quotients versus spatial autocorrelation in identifying potential cluster regions
Carroll, Michael C. (author) / Reid, Neil (author) / Smith, Bruce W. (author)
2007
Article (Journal)
Electronic Resource
English
BKL:
83.64$jRegionalwirtschaft
/
74.12
Stadtgeographie, Siedlungsgeographie
/
38.00$jGeowissenschaften: Allgemeines
/
38.00
Geowissenschaften: Allgemeines
/
83.64
Regionalwirtschaft
/
74.12$jStadtgeographie$jSiedlungsgeographie
RVK:
ELIB39
/
ELIB18
/
ELIB45
Local classification FBW:
oek 4450
Location quotients versus spatial autocorrelation in identifying potential cluster regions
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