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Arid Land Geography ›› 2024, Vol. 47 ›› Issue (12): 2152-2163.doi: 10.12118/j.issn.1000-6060.2024.142

• Regional Development • Previous Articles     Next Articles

Temporal and spatial evolution of ecological welfare performance and its influencing factors: A case of Shanxi Province

WANG Ziyan1(), NIU Liqin2(), CHENG Zhanhong1   

  1. 1. School of Culture and Journalism Arts, Shanxi University of Finance and Economics, Taiyuan 030006, Shanxi, China
    2. College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, Shanxi, China
  • Received:2024-03-04 Revised:2024-05-30 Online:2024-12-25 Published:2025-01-02
  • Contact: NIU Liqin E-mail:wzyyyyyy0906@163.com;nlq1976@126.com

Abstract:

Ecological welfare performance integrates the human social system and the natural environmental system, serving as a critical metric for assessing the sustainable development capability of resource-oriented cities. This study employs the super-SBM model to evaluate the ecological welfare performance of Shanxi Province, China from 2006 to 2021. The spatial and temporal evolution of ecological welfare performance is analyzed using the standard deviation ellipse and GIS spatial visualization. In addition, the entropy weighting method and the Dagum Gini coefficient are applied to identify the causes of low ecological welfare performance and the sources of regional disparities. Finally, the Geodetector method is used to investigate the driving factors. The findings indicate that: (1) The mean ecological welfare performance across municipalities in Shanxi Province is 0.681, with significant variation in levels and enhancement effects among municipalities. (2) During the study period, the center of gravity of ecological welfare performance shifted from the north to the south and subsequently to the southwest, with a high likelihood of maintaining the status quo across different types of regions. (3) Regarding the composite index deconstruction, increased resource consumption and a low human development index are identified as primary contributors to the low levels of ecological welfare performance. Inter-regional differences constitute the main source of regional disparities. (4) Urbanization emerges as a key driving factor, while the degree of openness to external influences, in synergy with other factors, plays a pivotal role in shaping the current state of ecological welfare performance. These findings have significant practical implications for enhancing the ecological welfare performance in Shanxi Province and achieving transformative and leapfrog development.

Key words: ecological welfare performanc, super-SBM model, spatio-temporal evolution, geographic detectore, Shanxi Province