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Research on Spatial Differences and Driving Effects of Ecological Well-Being Performance in China

Author

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  • Shengyun Wang

    (Research Center of the Central China for Economic and Social Development, Nanchang University, Nanchang 330031, China
    School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Liancheng Duan

    (School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Shuwen Jiang

    (School of Art, Nanchang University, Nanchang 330031, China)

Abstract

The essential requirement of sustainable development is to maximize economic prosperity and well-being while remaining within natural boundaries. This study focused on three aspects. First, a unique ecological well-being performance (EWP) evaluation model was developed by combining subjective and objective well-being indicators to assess China’s EWP from 2006 to 2018. Second, the evolution of spatial differences in China’s EWP was examined using the Dagum Gini coefficient and four spatial polarization indicators, from the perspective of eight economic regions. Third, we used the Logarithmic Mean Divisia Index (LMDI) method to decompose the driving factors of China’s EWP into four effects: economic, technical, objective well-being, and subjective well-being. Effective ways to promote the coordinated and sustainable enhancement of EWP in China were determined. The results showed that the overall level of EWP in China decreased from 2006 to 2018. The growth rate of China’s residents’ happiness index was not only slightly slower than the growth rate of the human development index but also significantly slower than the ecological footprint index per capita. The spatial differences of EWP in China were found to be expanding. Inter-regional differences were found to be the primary source of spatial differences in China’s EWP. Meanwhile, the capacity for sustainable development among provinces was further stretched, and, thus, the spatial polarization of China’s EWP tended to deepen. The importance of economic growth in boosting EWP cannot be overstated. China must actively encourage scientific and technological innovation, transition to a green development model, and raise human well-being in tandem with economic development. This study contributes to a scientific foundation and is a valuable reference for long-term and coordinated regional development in China and other emerging countries.

Suggested Citation

  • Shengyun Wang & Liancheng Duan & Shuwen Jiang, 2022. "Research on Spatial Differences and Driving Effects of Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9310-:d:875677
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    References listed on IDEAS

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    4. 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.
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    Cited by:

    1. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    2. Yu Zhang & Xi Cai & Yanying Mao & Liudan Jiao & Liu Wu, 2023. "What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective," Land, MDPI, vol. 12(8), pages 1-18, July.
    3. Can Zhang & Jixia Li & Tengfei Liu & Mengzhi Xu & Huachun Wang & Xu Li, 2022. "The Spatiotemporal Evolution and Influencing Factors of the Chinese Cities’ Ecological Welfare Performance," IJERPH, MDPI, vol. 19(19), pages 1-27, October.
    4. Jie Yang & Zhigang Li, 2024. "Improving Urban Ecological Welfare Performance: An ST-LMDI Approach to the Yangtze River Economic Belt," Land, MDPI, vol. 13(8), pages 1-21, August.
    5. Siying Chen & Zhixiong Tan & Xingwang He & Lichen Zhang, 2023. "The Measurements and Analysis of Spatial-Temporal Variations of Human Development Index Based on Planetary Boundaries in China: Evidence from Provincial-Level Data," Land, MDPI, vol. 12(3), pages 1-22, March.
    6. 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.
    7. Jing Bian & Feng Lan & Zhao Hui & Jiamin Bai & Yuanping Wang, 2022. "Ecological Well-Being Performance Evaluation of Chinese Major Node Cities along the Belt and Road," Land, MDPI, vol. 11(11), pages 1-19, October.

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