Industrial Linkage Network Characteristics and Co-agglomeration of Urban Agglomerations in China

Lingling Zhou (), Qian Yu and Yidong Qin
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Lingling Zhou: Wuhan University of Technology
Qian Yu: Wuhan University of Technology
Yidong Qin: Wuhan University of Technology

A chapter in Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023), 2023, pp 117-124 from Springer

Abstract: Abstract Based on the input-output table data of 17 urban agglomerations in China in 2012,2015 and 2017, this paper uses the two-way fixed effect model to analyze the impact of industrial correlation network density, clustering coefficient and average path length of producer services and manufacturing on industrial co-agglomeration. It is found that there are obvious small-world characteristics in China’s producer services and manufacturing industry correlation networks. The network density and clustering coefficient of the industrial network will negatively affect the level of industrial co-agglomeration, while the average path length will positively affect the level of industrial co-agglomeration. Sub-regional sample regression found that only the eastern and central urban agglomeration effects exist. The empirical results of this paper are of great significance to promote the industrial development of urban agglomerations.

Keywords: Urban agglomeration; industrial linkage network; producer services; manufacturing; industrial co-agglomeration (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-218-7_14

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DOI: 10.2991/978-94-6463-218-7_14

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