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Mining co-location patterns of manufacturing firms using Q statistic and additive color mixing

Author

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  • Yi Song
  • Guanglei Li
  • Yihan Wang
  • Yiheng Wang
  • Chang Ren

Abstract

The agglomeration effect significantly influences firms’ site selection. Manufacturing firms often exhibit intricate spatial co-location patterns that are indicative of agglomerations due to their reliance on material input and product output across various subdivisions of manufacture. In this study, we present an analytical approach employing the Q statistic and additive color mixing visualization to assess co-location patterns of manufacturing firms. We identified frequent pairs and triplets of manufacturing divisions, mapping them to reveal distinct categories: labor-intensive clusters, upstream/downstream industrial chains, and technology-spillover clusters. These agglomeration categories concentrate in different regions of the city. Policy implications are proposed to promote the upgrade of labor-intensive divisions, enhance the operational efficiency of upstream/downstream industrial chains, and reinforce the spillover effects of technology-intensive divisions.

Suggested Citation

  • Yi Song & Guanglei Li & Yihan Wang & Yiheng Wang & Chang Ren, 2024. "Mining co-location patterns of manufacturing firms using Q statistic and additive color mixing," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-21, March.
    • Handle: RePEc:plo:pone00:0299046
    DOI: 10.1371/journal.pone.0299046
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    1. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    2. Jung-Hun Yang & Dick Ettema, 2012. "Modelling the Emergence of Spatial Patterns of Economic Activity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(4), pages 1-6.
    3. Kurt A. Hafner, 2013. "Agglomeration economies and clustering -- evidence from German and European firms," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2938-2953, July.
    4. Krugman, Paul R., 1979. "Increasing returns, monopolistic competition, and international trade," Journal of International Economics, Elsevier, vol. 9(4), pages 469-479, November.
    5. Tan, Youchao & Liu, Xiumei & Sun, Hanwen & Zeng, Cheng(Colin), 2022. "Population ageing, labour market rigidity and corporate innovation: Evidence from China," Research Policy, Elsevier, vol. 51(2).
    6. Karima Kourtit & Yuyuan Wen & Peter Nijkamp & Qichun Zhang & Ming Zhu & Yuan Yuan, 2014. "FDI penetration and manufacturing agglomeration: an analysis based on empirical evidence from 21 industries (2004–2010)," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(4), pages 349-360, November.
    7. Jung-Hun Yang & Dick Ettema & Koen Frenken, 2012. "Modelling the emergence of spatial patterns of economic activity," Papers 1204.6638, arXiv.org.
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