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Spatial Differentiation and Influencing Factors in the Ecological Well-Being Performance of Urban Agglomerations in the Middle Reaches of the Yangtze River: A Hierarchical Perspective

Author

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  • Yuanyuan Zhu

    (Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Rui Zhang

    (Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Jiaxing Cui

    (Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

Abstract

Improving the ecological well-being performance (EWP) of natural resources and environmental consumption in relation to human well-being, within the ecological boundary, is necessary for sustainable development. This study used the Super-SBM model to measure the urban EWP of urban agglomeration in the middle reaches of the Yangtze River (MRYRUA) in 2020. The spatial differentiation characteristics of EWP in the MRYRUA were identified. The heterogeneity in the direction and size of the influencing factors of EWP at different urban hierarchy (UH) levels was empirically tested by establishing a threshold model. The results are as follows: (1) In 2020, the EWP of the study area showed a trend of high levels in the southwest and low levels in the northeast. The EWP presented a multi-center “core–periphery” distribution, and the characteristic of “central collapse” was evident. The UH level of the middle and lower hierarchy-level cities was inconsistent with its EWP. (2) A non-single linear relationship was found between the influencing factors of the EWP of the MRYRUA and the EWP. The impacts of technological progress, industrial structure, environmental regulation, and population density on the EWP of the MRYRUA all showed threshold characteristics. (3) Heterogeneity and stages were both observed for the influencing factors of EWP under different UH levels. The effect of technological progress on EWP presented the characteristics of bidirectional and two-stage developments, and environmental regulation presented the features of a significant positive three-stage development. Both industrial structure and population density presented two-stage aspects, but the former acted in a negative direction, while the latter served in a positive order. This study provides a theoretical basis for the government to formulate differentiated regional policies and promote the coordinated improvement of EWP among cities at all hierarchy levels in the urban agglomeration. This study is of great significance to the sustainable development of urban agglomerations. Its results can provide a reference for other urban agglomerations, metropolitan areas, and city clusters worldwide to coordinate economic development, ecological protection, and to improve people’s well-being.

Suggested Citation

  • Yuanyuan Zhu & Rui Zhang & Jiaxing Cui, 2022. "Spatial Differentiation and Influencing Factors in the Ecological Well-Being Performance of Urban Agglomerations in the Middle Reaches of the Yangtze River: A Hierarchical Perspective," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12867-:d:936062
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    1. Shengyun Wang & Yaxin Zhang & Xingren Yao, 2021. "Research on Spatial Unbalance and Influencing Factors of Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 18(17), pages 1-23, September.
    2. Meijuan Hu & Suleman Sarwar & Zaijun Li, 2021. "Spatio-Temporal Differentiation Mode and Threshold Effect of Yangtze River Delta Urban Ecological Well-Being Performance Based on Network DEA," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    3. Lindong Ma & Yuanxiao Hong & Xihui Chen, 2022. "Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the “Two Mountains” Theory," IJERPH, MDPI, vol. 19(11), pages 1-24, May.
    4. Yew-Kwang Ng, 2008. "Environmentally Responsible Happy Nation Index: Towards an Internationally Acceptable National Success Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 85(3), pages 425-446, February.
    5. Takatoshi Tabuchi & Jacques-François Thisse, 2006. "Regional Specialization, Urban Hierarchy, And Commuting Costs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(4), pages 1295-1317, November.
    6. Jundong Hou & Xinxin Ruan & Jun Lv & Haixiang Guo, 2020. "Two-Stage Super-Efficiency Slacks-Based Model to Assess China’s Ecological Wellbeing," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    7. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    8. Yuanyuan Zhu & Xiaoqi Zhou & Yilin Gan & Jing Chen & Ruilin Yu, 2021. "Spatio-Temporal Differentiation and Driving Mechanism of the “Resource Curse” of the Cultivated Land in Main Agricultural Production Regions: A Case Study of Jianghan Plain, Central China," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
    9. Sachs,Jeffrey D. & Kroll,Christian & Lafortune,Guillame & Fuller,Grayson & Woelm,Finn, 2022. "Sustainable Development Report 2022," Cambridge Books, Cambridge University Press, number 9781009210089.
    10. Chuansheng Wu & Yuyue Li & Lingling Qi, 2022. "Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    11. Bin Chen & Shengbiao Wu & Yimeng Song & Chris Webster & Bing Xu & Peng Gong, 2022. "Contrasting inequality in human exposure to greenspace between cities of Global North and Global South," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    12. Pasquale Commendatore & Ingrid Kubin & Pascal Mossay & Iryna Sushko, 2017. "The role of centrality and market size in a four-region asymmetric new economic geography model," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1095-1131, November.
    13. Peter Victor, 2010. "Questioning economic growth," Nature, Nature, vol. 468(7322), pages 370-371, November.
    14. Abdallah, Saamah & Thompson, Sam & Marks, Nic, 2008. "Estimating worldwide life satisfaction," Ecological Economics, Elsevier, vol. 65(1), pages 35-47, March.
    15. Jorgenson, Andrew K. & Alekseyko, Alina & Giedraitis, Vincentas, 2014. "Energy consumption, human well-being and economic development in central and eastern European nations: A cautionary tale of sustainability," Energy Policy, Elsevier, vol. 66(C), pages 419-427.
    16. Shengyun Wang & Liancheng Duan & Qin Zhu & Yaxin Zhang, 2022. "Spatial Differences of Ecological Well-Being Performance in the Poyang Lake Area at the Local Level," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    17. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    18. Daly, Herman E, 1974. "The Economics of the Steady State," American Economic Review, American Economic Association, vol. 64(2), pages 15-21, May.
    19. Kallis, Giorgos, 2011. "In defence of degrowth," Ecological Economics, Elsevier, vol. 70(5), pages 873-880, March.
    20. Moran, Daniel D. & Wackernagel, Mathis & Kitzes, Justin A. & Goldfinger, Steven H. & Boutaud, Aurelien, 2008. "Measuring sustainable development -- Nation by nation," Ecological Economics, Elsevier, vol. 64(3), pages 470-474, January.
    21. Jing Bian & Feng Lan & Yulin Zhou & Zhenzhen Peng & Mingfang Dong, 2022. "Spatial and Temporal Evolution and Driving Factors of Urban Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
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