Geographic concentration of industries in Jiangsu, China: a spatial point pattern analysis using micro-geographic data

Xiaoxiang Zhang, Jing Yao (), Katarzyna Sila-Nowicka and Chonghui Song
Additional contact information
Xiaoxiang Zhang: Hohai University
Jing Yao: University of Glasgow
Katarzyna Sila-Nowicka: University of Glasgow
Chonghui Song: Department of Natural Resources of Jiangsu

The Annals of Regional Science, 2021, vol. 66, issue 2, No 9, 439-461

Abstract: Abstract Detection of geographic concentration of economic activities at different spatial scales has long been of interest to researchers from spatial economics, regional science and economic geography. Using a unique dataset from the first industrial land use survey of its kind in China, this research is the first effort attempting to explore spatial distribution particularly geographic concentration of industries in China using firm-level data. Distance-based functions and spatial cluster analysis are employed to detect the spatial scales as well as the geographic locations of industrial concentration. The results indicate that four of the five selected industries are in general concentrated in southern Jiangsu at small spatial scales (less than 5 km), while the chemical industry demonstrates an overall spatial dispersion pattern relative to the distribution of all other industries. Most industrial clusters have a radius of less than 2.5 km containing 20–60% of enterprises and 60–86% of employees from each selected industry, with larger clusters showing relatively weaker concentration. This research demonstrates the connections and complementarity of different approaches, complementing previous studies that use distance-based functions with spatial scan statistics.

JEL-codes: C38 L60 R12 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s00168-020-01026-x

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