Spatio-temporal patterns and determinants of energy efficiency across China’s provinces
Bibliographic Data
| ID | 7397196 |
|---|---|
| Authors | Min Wan (0000-0003-4527-7292), De-Wei Yang (0000-0001-9771-4269), Shuai Zhang (0000-0002-5059-6688), Ji Yijia, Zhang Junmei, Meng Haishan, Hang Yang (0000-0001-5647-0018) |
| Year | 2025 |
| Volume | 10 |
| Pages | 101021-101021 |
| Publication date | 2025-07-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Futures (JOURNAL) |
| Journal identifiers | ISSN: 2666-1888 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.sftr.2025.101021 |
| OpenAlex | W4412448542 |
| Language | EN |
| Citations received | 2 |
| References cited | 47 |
Improving energy efficiency is a critical pathway for facilitating energy transition and mitigating climate change. This study employs the Super-SBM model to measure provincial energy efficiency in China from 2010 to 2022, followed by the Global Malmquist-Luenberger (GML) index to decompose dynamic changes in efficiency and examine regional disparities. Furthermore, a panel data regression model is utilized to identify key influencing factors. The findings reveal that: (1) China's energy efficiency exhibited an overall upward trend during the study period, though significant interprovincial and interregional disparities persisted. (2) High-efficiency regions demonstrated a pronounced clustering effect, particularly in South, East, and Central China, while Northwestern, Southwestern, and Northeastern regions remained low-efficiency zones, indicating distinct polarization characteristics. (3) The GML index exhibited notable fluctuations but remained above 1 in most provinces, suggesting sustained improvements in energy efficiency across China. (4) Urbanization level and environmental regulations were positively correlated with energy efficiency, whereas industrial structure, energy consumption patterns, government intervention, and trade openness exerted negative effects. These results provide valuable insights for policymakers to formulate region-specific strategies aimed at enhancing energy efficiency and accelerating the low-carbon transition
China · Economic geography · Geography · Efficiency Analysis Using DEA · Energy, Environment, Economic Growth · Environmental Impact and Sustainability
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| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |