A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency
In the context of global efforts to address climate change and pursue sustainable development, green finance (GF) and energy efficiency (EE) have become key issues of focus for academics and policymakers. This study explores the spatiotemporal coupling characteristics and driving factors of China’s...
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MDPI AG
2025-05-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/13/5/394 |
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| author | Hong Wu Xuewei Wen Xifeng Wang Xuelian Yu |
| author_facet | Hong Wu Xuewei Wen Xifeng Wang Xuelian Yu |
| author_sort | Hong Wu |
| collection | DOAJ |
| description | In the context of global efforts to address climate change and pursue sustainable development, green finance (GF) and energy efficiency (EE) have become key issues of focus for academics and policymakers. This study explores the spatiotemporal coupling characteristics and driving factors of China’s green finance and energy efficiency from 2011 to 2022, aiming to help China achieve its dual carbon goals. This study used a three-dimensional framework to assess 30 provinces, considering factor inputs, expected outputs, and undesirable outputs. The study employed the global benchmark super-efficiency EBM model, entropy method, coupling coordination model (CCD), Dagum Gini coefficient decomposition, and spatiotemporal geographic weighted regression model (GTWR). Key findings include a “high in the east, low in the west” gradient distribution of both green finance and energy efficiency, expanding regional disparities, and a strong synergistic effect between technological innovation and energy regulation. Based on the findings, this paper proposes a three-tier governance framework: regional adaptation, digital integration, and institutional compensation. This study contributes to a deeper understanding of the coupling theory of environmental financial systems and provides empirical support for optimizing global carbon neutrality pathways. |
| format | Article |
| id | doaj-art-a78f10d934e944fdae14d008652f0404 |
| institution | OA Journals |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-a78f10d934e944fdae14d008652f04042025-08-20T02:33:51ZengMDPI AGSystems2079-89542025-05-0113539410.3390/systems13050394A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy EfficiencyHong Wu0Xuewei Wen1Xifeng Wang2Xuelian Yu3School of Management, Fujian University of Technology, Fuzhou 350118, ChinaSchool of Management, Fujian University of Technology, Fuzhou 350118, ChinaInstitute of Quantitative and Technological Economics, Chinese Academy of Social Science, Beijing 100038, ChinaSchool of Management, Fujian University of Technology, Fuzhou 350118, ChinaIn the context of global efforts to address climate change and pursue sustainable development, green finance (GF) and energy efficiency (EE) have become key issues of focus for academics and policymakers. This study explores the spatiotemporal coupling characteristics and driving factors of China’s green finance and energy efficiency from 2011 to 2022, aiming to help China achieve its dual carbon goals. This study used a three-dimensional framework to assess 30 provinces, considering factor inputs, expected outputs, and undesirable outputs. The study employed the global benchmark super-efficiency EBM model, entropy method, coupling coordination model (CCD), Dagum Gini coefficient decomposition, and spatiotemporal geographic weighted regression model (GTWR). Key findings include a “high in the east, low in the west” gradient distribution of both green finance and energy efficiency, expanding regional disparities, and a strong synergistic effect between technological innovation and energy regulation. Based on the findings, this paper proposes a three-tier governance framework: regional adaptation, digital integration, and institutional compensation. This study contributes to a deeper understanding of the coupling theory of environmental financial systems and provides empirical support for optimizing global carbon neutrality pathways.https://www.mdpi.com/2079-8954/13/5/394green financeenergy efficiencycoupled coordination modelDagum Gini coefficientregional differenceinstitutional compensation |
| spellingShingle | Hong Wu Xuewei Wen Xifeng Wang Xuelian Yu A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency Systems green finance energy efficiency coupled coordination model Dagum Gini coefficient regional difference institutional compensation |
| title | A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency |
| title_full | A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency |
| title_fullStr | A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency |
| title_full_unstemmed | A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency |
| title_short | A Study on the Spatiotemporal Coupling Characteristics and Driving Factors of China’s Green Finance and Energy Efficiency |
| title_sort | study on the spatiotemporal coupling characteristics and driving factors of china s green finance and energy efficiency |
| topic | green finance energy efficiency coupled coordination model Dagum Gini coefficient regional difference institutional compensation |
| url | https://www.mdpi.com/2079-8954/13/5/394 |
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