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Research on the dynamic changes of China’s agro-processing industry agglomeration and spatial impact of production factors on agglomeration

Author

Listed:
  • Hui Lu
  • Qing Li
  • Bin Liu
  • Zexin Chi
  • Yongmei Ye

Abstract

Agglomeration is an important phenomenon that accompanies with a large concentration of various production factors. Since the agro-processing industry has become a vital bridge connecting the primary and secondary industries, agglomeration and distribution within this industry are arousing wide concern. Based on provincial panel data of China from 2001 to 2020, this study described the dynamic changes of China’s agro-processing industry agglomeration using spatial Gini coefficient and average concentration ratio. A theoretical analysis framework was established and a dynamic spatial Durbin model was used to quantitatively explore the spatial effects of production factors on the agro-processing industry agglomeration, results showed that: first, the agglomerations of agro-processing industry and its sub-industries all have exhibited a fluctuating trend of "up-down-up-down", meanwhile the agro-processing industry shifted from the Eastern coastal region to the central and western regions. Second, in the short term, the capital, labor, and technology factors respectively have remarkably promoted the agro-processing industries agglomeration both in local and neighboring areas. Third, in the long term, these three production factors all had a crowding effect on industrial agglomeration. Therefore, it is necessary to continue optimizing the agro-processing industry spatial layout through adjusting production factor inputs to promote high-quality development of the agro-processing industry.

Suggested Citation

  • Hui Lu & Qing Li & Bin Liu & Zexin Chi & Yongmei Ye, 2023. "Research on the dynamic changes of China’s agro-processing industry agglomeration and spatial impact of production factors on agglomeration," PLOS ONE, Public Library of Science, vol. 18(12), pages 1-20, December.
    • Handle: RePEc:plo:pone00:0292870
    DOI: 10.1371/journal.pone.0292870
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    1. Lu, Futao & Xia, Xinqu & Wu, Yan, 2026. "Does digital inclusive finance influence the entry and exit of agro-processing enterprises? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 89(C), pages 165-177.

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