Regional inequality and driving factors behind low-carbon energy transition in China’s provinces
| dc.contributor.author | Cong, Lianghan | |
| dc.contributor.author | Lu, Shuaiyi | |
| dc.contributor.author | Jiang, Pan | |
| dc.contributor.author | Lü, Xiaoshu | |
| dc.date.accessioned | 2026-05-21T10:47:00Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Accelerating the transition of China’s energy consumption structure toward low-carbon development is essential for achieving global carbon neutrality goals. As the country with the world’s largest share of energy-related emissions, China provides a critical case in which substantial provincial disparities remain. Using panel data from 30 provinces from 2012 to 2022, this study develops an integrated framework combining Geographically and Temporally Weighted Regression (GTWR), eXtreme Gradient Boosting (XGBoost), and SHapley Additive exPlanations (SHAP) to examine the driving mechanisms of low-carbon energy transition from a regional inequality perspective. The results reveal persistent east–west disparities, significant spatial clustering, and clear temporal shifts in the effects of key drivers. Results reveal pronounced spatiotemporal heterogeneity. Green technology innovation consistently showed the strongest positive effect, while industrialization and urban–rural income gaps exerted stronger negative impacts in central and western regions. Government intervention shifted from a negative factor in early years to a positive driver in later years, which reflects the evolving role of policy in steering decarbonization. Moreover, nonlinear threshold effects were identified, such as U-shaped impacts of government intervention and scale-sensitive effects of afforestation. Findings show that China’s low-carbon transition is evolving from regional heterogeneity toward policy convergence, yet inequalities remain significant. These results underscore the need for targeted strategies for reducing disparities, including technology diffusion and financial support in less-developed provinces, to ensure a more balanced and equitable energy transition. This study contributes new empirical insights to understanding low-carbon drivers and designing decarbonization policies for ensuring an equitable and coordinated national transition. | en |
| dc.description.reviewstatus | fi=vertaisarvioitu|en=peerReviewed| | |
| dc.identifier.citation | Cong, L., Lu, S., Jiang, P., & Lü, X. (2026). Regional inequality and driving factors behind low-carbon energy transition in China’s provinces. Energy, Ecology and Environment. https://doi.org/10.1007/s40974-026-00422-x | |
| dc.identifier.uri | https://osuva.uwasa.fi/handle/11111/20424 | |
| dc.identifier.urn | URN:NBN:fi-fe2026052151379 | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.relation.doi | https://doi.org/10.1007/s40974-026-00422-x | |
| dc.relation.funder | Suomen Akatemia | fi |
| dc.relation.funder | Academy of Finland | en |
| dc.relation.funder | Suomen Akatemia | fi |
| dc.relation.funder | Academy of Finland | en |
| dc.relation.funder | Vaasan yliopisto | fi |
| dc.relation.funder | University of Vaasa | en |
| dc.relation.grantnumber | 359189 | |
| dc.relation.grantnumber | 362751 | |
| dc.relation.ispartofjournal | Energy, ecology and environment | |
| dc.relation.issn | 2363-8338 | |
| dc.relation.issn | 2363-7692 | |
| dc.relation.url | https://doi.org/10.1007/s40974-026-00422-x | |
| dc.relation.url | https://urn.fi/URN:NBN:fi-fe2026052151379 | |
| dc.rights | https://creativecommons.org/licenses/by/4.0/ | |
| dc.rights.copyright | © The Author(s) 2026. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | |
| dc.source.identifier | 64c97ed1-5f5b-4e61-b418-178964d514a6 | |
| dc.source.metadata | SoleCRIS | |
| dc.subject | Energy transition | |
| dc.subject | developing countries | |
| dc.subject | Low-carbon energy consumption | |
| dc.subject | Regional disparities | |
| dc.subject | GTWR | |
| dc.subject | Interpretable machine learning | |
| dc.subject.discipline | fi=Energiatekniikka|en=Energy Technology| | |
| dc.title | Regional inequality and driving factors behind low-carbon energy transition in China’s provinces | |
| dc.type.okm | fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä (vertaisarvioitu)|en=A1 Journal article (peer-reviewed)| | |
| dc.type.publication | article | |
| dc.type.version | publishedVersion |
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