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The Spatiotemporal Evolution and Trend Prediction of Ecological Wellbeing Performance in China

Author

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  • Lan Yao

    (College of Economics & Management, Northwest A & F University, Yangling 712100, China)

  • Zhenning Yu

    (School of Social and Public Administration, East China University of Science and Technology, Shanghai 200237, China)

  • Mengya Wu

    (College of Economics & Management, Northwest A & F University, Yangling 712100, China)

  • Jiachen Ning

    (College of Economics & Management, Northwest A & F University, Yangling 712100, China)

  • Tiangui Lv

    (School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang 330013, China)

Abstract

Humans currently face a problematic ecological dilemma regarding economic growth. It is difficult to meet human needs by only studying economic growth created by artificial costs, and all countries need to pay attention to the task of improving the level of human welfare under the constraints of an ecological environment from the perspective of sustainable development. The focus of ecological wellbeing performance (EWP) is how to achieve the maximum welfare level output or achieve higher welfare level improvement with the fewest conversions of natural and ecological inputs. In this paper, we use the super-efficiency SBM model to measure the EWP of Chinese provinces and cities, traditional and spatial Markov probability transfer matrices are established based on time series analysis and spatial correlation analysis of the global Moran’s index, and the characteristics of the spatiotemporal variations of EWP are analyzed by comparing the matrices. The evolution trend for a certain future period is predicted, and the influences of geographical spatial patterns on the spatiotemporal evolution of EWP are discussed. On this basis, according to the calculation and analysis of the characteristics of China’s EWP, provinces and cities in China need to focus on improving their own resource utilization efficiency and strengthen environmental supervision to improve EWP. Finally, policy recommendations are put forward. First, special laws and regulations need to be introduced for resource utilization and ecological protection. The second recommendation is to promote and improve the mechanism of public participation in the rational utilization of resources and protection of the ecological environment. The third recommendation is to establish a dynamic monitoring system for resource utilization and ecological environmental protection. The fourth recommendation is to strengthen structural adjustment and accomplish high-quality economic development.

Suggested Citation

  • Lan Yao & Zhenning Yu & Mengya Wu & Jiachen Ning & Tiangui Lv, 2020. "The Spatiotemporal Evolution and Trend Prediction of Ecological Wellbeing Performance in China," Land, MDPI, vol. 10(1), pages 1-17, December.
    • Handle: RePEc:gam:jlands:v:10:y:2020:i:1:p:12-:d:468551
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    References listed on IDEAS

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    Cited by:

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    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. John E. Quinn & Karen E. Allen, 2021. "Governance, Values, and Conservation Processes in Multifunctional Landscapes," Land, MDPI, vol. 10(5), pages 1-6, May.
    4. 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.
    5. Haoyang Lu & Jing Tong & Yajiao Tang, 2022. "Analysis of Green Credit and the Ecological Welfare Performance Based on Empirical Models and ARIMA(2,3,2): Taking China as an Example," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    6. Xuhui Cong & Zhipeng Qi & Sai Wang & Peikun Su & Liang Wang & Jonas Šaparauskas & Jarosław Górecki & Miroslaw J. Skibniewski, 2023. "Ecological Welfare Performance Evaluation and Spatial–Temporal Difference Evolution of Blue Economic Zones: A Case Study of the Blue Economic Zone of Shandong Peninsula," Land, MDPI, vol. 12(10), pages 1-15, October.
    7. 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.
    8. Jun Wang & Guixiang Zhang, 2022. "Dynamic Evolution, Regional Differences, and Spatial Spillover Effects of Urban Ecological Welfare Performance in China from the Perspective of Ecological Value," IJERPH, MDPI, vol. 19(23), pages 1-24, December.
    9. Feng Lan & Zhao Hui & Jing Bian & Ying Wang & Wenxin Shen, 2022. "Ecological Well-Being Performance Evaluation and Spatio-Temporal Evolution Characteristics of Urban Agglomerations in the Yellow River Basin," Land, MDPI, vol. 11(11), pages 1-21, November.
    10. 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.

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