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

Author

Listed:
  • Xiaoxiang Zhang

    (Hohai University
    University of Glasgow)

  • Jing Yao

    (University of Glasgow)

  • Katarzyna Sila-Nowicka

    (University of Glasgow
    University of Auckland
    Wroclaw University of Environmental and Life Sciences)

  • Chonghui Song

    (Department of Natural Resources of Jiangsu)

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.

Suggested Citation

  • Xiaoxiang Zhang & Jing Yao & Katarzyna Sila-Nowicka & Chonghui Song, 2021. "Geographic concentration of industries in Jiangsu, China: a spatial point pattern analysis using micro-geographic data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 439-461, April.
    • Handle: RePEc:spr:anresc:v:66:y:2021:i:2:d:10.1007_s00168-020-01026-x
    DOI: 10.1007/s00168-020-01026-x
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    Cited by:

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    2. Yanzhe Cui & Yingnan Niu & Yawen Ren & Shiyi Zhang & Lindan Zhao, 2024. "A Model to Analyze Industrial Clusters to Measure Land Use Efficiency in China," Land, MDPI, vol. 13(7), pages 1-22, July.
    3. Sugam Agarwal & Smruti Ranjan Behera, 2022. "Geographical concentration of knowledge and technology-intensive industries in India: empirical evidence from establishment-level analysis," Indian Economic Review, Springer, vol. 57(2), pages 513-552, December.
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    More about this item

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • 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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