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

DOI

10.2991/978-94-6463-218-7_14How to use a DOI?

Keywords

Urban agglomeration; industrial linkage network; producer services; manufacturing; industrial co-agglomeration

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.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lingling Zhou
AU  - Qian Yu
AU  - Yidong Qin
PY  - 2023
DA  - 2023/08/16
TI  - Industrial Linkage Network Characteristics and Co-agglomeration of Urban Agglomerations in China
BT  - Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023)
PB  - Atlantis Press
SP  - 117
EP  - 124
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-218-7_14
DO  - 10.2991/978-94-6463-218-7_14
ID  - Zhou2023
ER  -