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.
Cite this article
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 -