A Spatiotemporal Analysis of Ecological–Economic Coupling Coordination in the Chengdu–Chongqing Urban Agglomeration

Xindong He, Linhong Wu (), Guoqiang Shen, Xingfan Peng and Lei Huang
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Xindong He: College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China
Linhong Wu: Department of Civil & Environmental Engineering, National University of Singapore, Singapore 119077, Singapore
Guoqiang Shen: Deptartment of Regional and City Planning, College of Architecture and Civil Engineering, Zhejiang University, Hangzhou 310058, China
Xingfan Peng: Deptartment of Chemical Engineering, University College London, London WC1E 6BT, UK
Lei Huang: College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China

Land, 2023, vol. 12, issue 7, 1-20

Abstract: The quick and reliable quantification of the relationship between ecosystem and economic system is important in policymaking for sustainable urban agglomerations facing enormous pressure from high population density and development intensity. This is especially true in China, where urban agglomeration has been part of the country’s strategy for reform, modernization, and urbanization. This study applied the coupling coordination degree (CCD) model to assess the coupling coordination relationships between the ecosystem and economic system at the county level for the Chengdu–Chongqing agglomeration for the period of 2005–2019, and then, the local indicator of spatial association analysis (LISA) was used to illustrate the spatial distribution of CCDs further, hoping to capture the spatiotemporal dynamics of CCDs. The results found that (1) fringe counties and districts in the urban agglomeration were on the brink of ecological–economic disorder with low CCDs, (2) urbanized areas near Chongqing coordinated well with high CCDs, and (3) sound spatial governance and territorial planning may be better achieved by using the county-level unit than the city-level unit.

Keywords: coupling coordination degree; spatiotemporal analysis; ecological–economic systems; Chengdu–Chongqing urban agglomeration (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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