地理科学进展

PROGRESS IN GEOGRAPHY ›› 2022, Vol. 41 ›› Issue (12): 2231-2243.doi: 10.18306/dlkxjz.2022.12.004

• Articles • Previous Articles     Next Articles

Spatiotemporal evolution and driving mechanism of ecological well-being performance in the urban agglomeration of the middle reaches of the Yangtze River under the carbon peaking and carbon neutrality goals

ZHU Yuanyuan1,2(), ZHANG Rui1,2, GU Jiang3, GAO Zhe1,2,*()   

  1. 1. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    2. Academy of Wuhan Metropolitan Area, Hubei Development and Reform Commission & Central China Normal University, Wuhan 430079, China
    3. The Commercial Press Co., Ltd., Beijing 100710, China
  • Received:2022-05-28 Revised:2022-07-19 Online:2022-12-28 Published:2022-12-31
  • Contact: GAO Zhe E-mail:zhuyy990@ccnu.edu.cn;gaozhe@ccnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(42071170);National Natural Science Foundation of China(42001188);Fundamental Research Funds for the Central Universities (Innovative Funding Projects)(2022CXZZ001)

RichHTML

PDF (PC)

Like

Abstract:

Ecological well-being performance is an important tool to explore the relationship between ecology and human well-being and measure the ecological civilization construction. Based on the panel data of cities of the middle reaches of the Yangtze River from 2005 to 2020, this study used the super-slacks-based measure (Super-SBM) model to calculate the value of ecological well-being performance of the urban agglomeration of the middle reaches of the Yangtze River and analyzed its spatiotemporal evolution characteristics. Based on this, factors driving ecological well-being performance were explored by the panel Tobit Model. The driving mechanism of the evolution was revealed under the carbon peaking and carbon neutrality goals. The study results indicate that: 1) From 2005 to 2020, the ecological well-being performance of the study area showed the characteristics of slow decline→fluctuation→rapid development. 2) The ecological well-being performance of the study area presented a significant core-periphery structure. "Border area collapse" was obvious at the junction of three sub-agglomerations of Wuhan, Poyang Lake, Changsha-Zhuzhou-Xiangtan. 3) Through circular accumulation and joint promotion, the spatiotemporal evolution of ecological well-being performance of the study area was driven by multiple factors such as technological progress, environmental regulation, industrial structure, population agglomeration, level of sharing the achievements of development, and degree of opening-up. There existed dual driving pathways of endogenous transformation and exogenous driving, which were closely related to carbon emission intensity. Revealing the spatiotemporal evolution and driving mechanism of ecological well-being performance under the carbon peaking and carbon neutrality goals will help us understand the transformation mechanism between ecological elements and human well-being, as well as the relationship between ecological well-being performance and carbon emissions. This study may provide a reference for the high-quality development of urban agglomerations and the ecological civilization construction.

Key words: carbon peaking and carbon neutrality goals, ecological well-being performance, Super-SBM Model, panel Tobit Model, urban agglomerations of the middle reaches of the Yangtze River