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An Identification of Industrial Functional Zones Based on NLP: Evidence From Online Commercial Registration Data

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  • Yuanting Ma
  • Yong Sun
  • Futian Weng
  • Yan Xu

Abstract

The identification of spatial layout and functional characteristics among industrial clusters is vital to support the development of regional industries. Based on the industrial registration data of more than 330,000 companies in “The First Industrial Clusters in China,†and natural language processing methods (NLP), a set of identification framework for urban industrial functional zones is constructed by introducing commercial registration data and electronic map location data to deal with complex industrial big data, realizing the recognition of industrial spatial layout and functional characteristics of Nanshan. The results show that the industrial coverage of Nanshan is as high as 79.07%, and the wholesale and retail enterprises are its main bodies. Among the nine industrial functional zones, emerging enterprises accounted for the majority and diversified agglomeration areas were more than specialized agglomerations in capital scale and employability. Thus, in future industrial planning, maintaining a diversified industrial agglomeration, while giving more policy favor to functional zones characterized by wholesale and retail, can better stimulate consumption and promote economic development in the region.

Suggested Citation

  • Yuanting Ma & Yong Sun & Futian Weng & Yan Xu, 2023. "An Identification of Industrial Functional Zones Based on NLP: Evidence From Online Commercial Registration Data," SAGE Open, , vol. 13(1), pages 21582440231, February.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440231153854
    DOI: 10.1177/21582440231153854
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    References listed on IDEAS

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    1. Domenica Panzera & Alfredo Cartone & Paolo Postiglione, 2022. "New evidence on measuring the geographical concentration of economic activities," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 59-79, February.
    2. Alexandra Wicht & Per Kropp & Barbara Schwengler, 2020. "Are functional regions more homogeneous than administrative regions? A test using hierarchical linear models," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 135-164, February.
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