Spatiotemporal Evolution and Influencing Factors of the Coupling Coordination of Urban Ecological Resilience and New Quality Productivity at the Provincial Scale in China

Li Yang, Yue Xu (), Junqi Zhu and Keyu Sun
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Li Yang: School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, China
Yue Xu: School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, China
Junqi Zhu: School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, China
Keyu Sun: School of Law, South China University of Technology, Guangzhou 510006, China

Land, 2024, vol. 13, issue 12, 1-22

Abstract: Enhancing urban ecological resilience (UER) is important in promoting sustainable urban development, and developing new quality productivity (NQP) is an intrinsic requirement to promote industrial change and high-quality development. The coordinated development of UER and NQP can help realize the green transformation and upgrading of various industries. This study considered 30 provinces in China as research objects, quantified their UER from nature, economy, and society, and explored the essential connotation of NQP under the guidance of Marx’s productivity theory. The entropy weight-CRITIC method and TOPSIS model were used to comprehensively measure the development levels of the UER and NQP from 2011 to 2022, and their coupling coordination degree (CCD) of UER and NQP was measured by combining the coupling coordination degree model. Consequently, the Global Moran’s I index and Geographical and Temporal Weighted Regression (GTWR) model were used to explore the effects of different influencing factors on the CCD from the spatiotemporal variability perspective. The results indicated the following: (1) UER and NQP improved during the study period but with large differences between the regions. (2) The overall CCD evolved from a mild imbalance to primary coordination. The average CCD values ranged from low to high in the northeastern, western, central, and eastern regions. (3) The GTWR results showed that the levels of economic development, urbanization rate, and technological innovation contributed positively to the CCD, with the urbanization rate having the strongest positive effect. Foreign investment, environmental regulations, and industrial structure generally negatively inhibit the CCD.

Keywords: urban ecological resilience; new quality productivity; coupling coordination; geographical and temporal weighted regression (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:12:p:1998-:d:1527891

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