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Temporal and Spatial Evolution and Driving Mechanism of Urban Ecological Welfare Performance from the Perspective of High-Quality Development: A Case Study of Jiangsu Province, China

Author

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  • Shasha He

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Bin Fang

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Xue Xie

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

Abstract

Based on the concept of high-quality development, this paper constructs an urban ecological welfare evaluation framework, measures the urban ecological welfare performance in Jiangsu Province from 2005 to 2019 using a stochastic frontier production function model, and conducts a spatial and temporal divergence feature analysis, combining a spatial panel econometric model and a threshold panel regression model to explore the spatial effects and mechanisms of urban ecological welfare performance. The results show that: (1) The urban ecological welfare performance in Jiangsu province has been increasing every year, and the spatial divergence between north and south is significant, with the overall trend of southern Jiangsu > central Jiangsu > northern Jiangsu. (2) The differences in urban ecological welfare performance among the three regions are gradually decreasing, with the high values expanding and the low values decreasing, and the urban ecological welfare performance in northern Jiangsu Province is gradually approaching that in southern Jiangsu Province, and the urban ecological welfare performance level tends to be balanced. (3) There are significant negative spillover effects of industrial structure, city scale, and economic development level on urban ecological welfare performance, as well as significant threshold effects of innovation level, industrial structure, foreign trade dependence, and economic development, and significant differences in the degree of influence of urbanization on urban ecological welfare performance under different threshold variables. (4) The urbanization and economic development levels are the fundamental factors driving urban ecological welfare performance improvement. Industrial structure optimization, city scale, technological innovation, and foreign trade dependence positively contribute to urban welfare performance, and government financial pressure constrains the performance level improvement. In the future, a long-term mechanism for high-quality green development should be constructed, spatial spillover channels should be continuously improved, welfare thresholds should be effectively circumvented, and urban ecological welfare performance should be promoted in a concerted manner.

Suggested Citation

  • Shasha He & Bin Fang & Xue Xie, 2022. "Temporal and Spatial Evolution and Driving Mechanism of Urban Ecological Welfare Performance from the Perspective of High-Quality Development: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 11(9), pages 1-24, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1607-:d:918612
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    Cited by:

    1. 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.
    2. Jiangyuan Fu & Huidan Xue & Fayuan Wang & Liming Wang, 2023. "The Impact of High-Quality Energy Development and Technological Innovation on the Real Economy of the Yangtze River Economic Belt in China: A Spatial Economic and Threshold Effect Analysis," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    3. Shanhong Li & Yanqin Lv & Tianzheng Fan & Ziye Zhang & Gao Feng & Chen Jing, 2023. "Multidimensional performance assessment, government competition and ecological welfare performance," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-22, August.
    4. Rumeng Yin & Xin Li & Bin Fang, 2023. "The Relationship between the Spatial and Temporal Evolution of Land Use Function and the Level of Economic and Social Development in the Yangtze River Delta," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    5. Meilin Zhao & Rui Zhang & Hong Liu & Xiaoyi Zhang & Yue Wang, 2023. "A Study on the Spatial-Temporal Evolution and Problem Area Identification of High-Quality Urban Development in the Central Region," Sustainability, MDPI, vol. 15(14), pages 1-21, July.

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