Technical Papers
Nov 9, 2021

Examining the Evolution of China’s Urban Interlocking Networks Based on the Spatial Agglomeration of Producer Services

Publication: Journal of Urban Planning and Development
Volume 148, Issue 1

Abstract

Agglomeration of producer services forms the basis for regional industrial layout optimization, whereas urban association adequately describes the spatial pattern of producer services agglomeration. Based on the relationship between the agglomeration of businesses around strongly related industries, this study constructs a multilayer network model to investigate the urban interlocking of agglomerated producer services in China. By analyzing urban hierarchy, configuration, directionality, clustering, and intermediation, we identify key cities, an urban agglomeration, and the characteristics and evolution of urban association patterns under industrial agglomeration. From 2005 to 2015, cities with agglomerated producer service economies expanded from central and eastern regions into the surrounding areas. We identify core producer services cities and major urban agglomerations in a region and define the radial configuration that forms around core cities. This reveals the weak agglomeration characteristics of surrounding areas and the national distribution of resources. Simultaneously, major urban agglomerations have factors that circulate between regions and are integrated into the overall interlocking network. Our results offer guidance for industrial layouts and further industrial development.

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Acknowledgments

This research was supported by the Key Project of the National Social Science Fund of China (Project No. 16AZD009); the National Natural Science Foundation of China (Grant No. 71371108); and the General Program of Soft Science Research Project of Shandong Province (Project No. 2019RKB01187).

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 148Issue 1March 2022

History

Received: Aug 28, 2020
Accepted: Sep 21, 2021
Published online: Nov 9, 2021
Published in print: Mar 1, 2022
Discussion open until: Apr 9, 2022

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Qingchun Meng [email protected]
Professor, School of Management, Shandong Univ., Jinan 250000, China; Shandong Key Laboratory of Social Supernetwork Computation and Decision Simulation, Shandong Univ., Jinan 250000, China; Research Center for Value Co-creation Network, Shandong Univ., Jinan 250000, China. Email: [email protected]
Cunli Wang, M.ASCE [email protected]
Research Assistant, School of Management, Shandong Univ., Jinan 250000, China; Shandong Key Laboratory of Social Supernetwork Computation and Decision Simulation, Shandong Univ., Jinan 250000, China; Research Center for Value Co-creation Network, Shandong Univ., Jinan 250000, China (corresponding author). Email: [email protected]
Chengwei Wang [email protected]
Research Assistant, School of Management, Shandong Univ., Jinan 250000, China; Shandong Key Laboratory of Social Supernetwork Computation and Decision Simulation, Shandong Univ., Jinan 250000, China; Research Center for Value Co-creation Network, Shandong Univ., Jinan 250000, China. Email: [email protected]

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