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Multidimensional performance assessment, government competition and ecological welfare performance.

Authors :
Li S
Lv Y
Fan T
Zhang Z
Feng G
Jing C
Source :
PloS one [PLoS One] 2023 Aug 10; Vol. 18 (8), pp. e0289837. Date of Electronic Publication: 2023 Aug 10 (Print Publication: 2023).
Publication Year :
2023

Abstract

Improving the efficiency of converting natural resources into social benefits is an important issue for sustainable development in today's world. Based on this background this paper applies the super-efficient SBM model with non-expected output to measure the ecological welfare performance (EWP) of Chinese provinces from 2005-2019, and explores the relationship between government competition and EWP under different assessment systems. The research results show that government competition under economic performance assessment is self-interested and short-sighted, which can negatively affect ecological welfare performance in the current period as well as in the next four years. In contrast, government competition under the environmental assessment system promotes EWP in both the current and long term, balancing short-term and long-term benefits. The results of the spatial GMM found that government competition under economic performance appraisal can deteriorate EWP in local as well as surrounding areas, but government competition under the environmental assessment system can achieve an increase in local ecological welfare performance and the spillover effect is not significant. To alleviate the limitations of a single appraisal system, this paper incorporates both economic and ecological appraisals into the multidimensional appraisal system. When the weights of both are between 1:9 and 3:7, the government competition under multidimensional performance appraisal can promote both current and longer-term EWP, and achieve its own ecological welfare performance without affecting the surrounding areas.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2023 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
1932-6203
Volume :
18
Issue :
8
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
37561688
Full Text :
https://doi.org/10.1371/journal.pone.0289837