China’s environmental governance efficiency evaluation based on novel cross-efficiency network DEA model

This study evaluates the environmental governance efficiency (EGE) of 30 Chinese provinces using an enhanced neutral cross-efficiency network DEA model. Following the "attention-action-outcome" framework, EGE is divided into response efficiency (EGRE) and implementation efficiency (EGIE). Results show that while EGE exhibits a fluctuating upward trend, it remained low at 0.254 in 2022. EGIE outperforms EGRE on the whole but is more volatile. The eastern region achieves the highest efficiencies, while the western region performs the worst. Intra-group disparities significantly exceed inter-group disparities for all three types of efficiency. Moreover, the development disparities in EGIE have roughly exhibited a fluctuating downward trend since 2016. A quadrant analysis offers region-specific recommendations to improve EGE and support sustainable development.

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Publication Details

Journal
Scientific Reports
Published
2025-09-25
DOI
https://doi.org/10.1038/s41598-025-17840-2
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00

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article

China’s environmental governance efficiency evaluation based on novel cross-efficiency network DEA model

Li Lin, Yi Wang, Rui Yang, Zhixi Zhu et al.
Scientific Reports
Efficiency Analysis Using DEA
article

China’s environmental governance efficiency evaluation based on novel cross-efficiency network DEA model

Li Lin, Yi Wang, Rui Yang, Zhixi Zhu, Yunying Zhuang
article en

Abstract

This study evaluates the environmental governance efficiency (EGE) of 30 Chinese provinces using an enhanced neutral cross-efficiency network DEA model. Following the "attention-action-outcome" framework, EGE is divided into response efficiency (EGRE) and implementation efficiency (EGIE). Results show that while EGE exhibits a fluctuating upward trend, it remained low at 0.254 in 2022. EGIE outperforms EGRE on the whole but is more volatile. The eastern region achieves the highest efficiencies, while the western region performs the worst. Intra-group disparities significantly exceed inter-group disparities for all three types of efficiency. Moreover, the development disparities in EGIE have roughly exhibited a fluctuating downward trend since 2016. A quadrant analysis offers region-specific recommendations to improve EGE and support sustainable development.

Scientific ReportsVol. 15(1)
Guizhou University (CN), Harbin Institute of Technology (CN), Guiyang University (CN), University of Hong Kong (HK)
Guizhou University
Openalex Percentile: Top 69%
Efficiency Analysis Using DEA
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