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Research on Regional Disparities and Determinants of Carbon Emission Efficiency: A Case Study of Hubei Province, China

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Listed:
  • Ming Lei

    (School of Urban Construction, Yangtze University, Jingzhou 434023, China)

  • Xu Han

    (School of Urban Construction, Yangtze University, Jingzhou 434023, China)

  • Ming Yi

    (School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Juan Zhang

    (School of Urban Construction, Yangtze University, Jingzhou 434023, China)

  • Wei Zhang

    (Infrastructure Department, Hubei Minzu University, Enshi 445000, China)

  • Mengke Huang

    (School of Urban Construction, Yangtze University, Jingzhou 434023, China)

Abstract

Effective carbon emission control at the provincial level is essential for advancing the high-quality development of the national economy under the “dual carbon” targets. Although Hubei Province is endowed with abundant natural resources and significant potential for sustainable growth, it still faces considerable challenges in industrial and energy restructuring. Therefore, improving carbon emission efficiency (CEE) is imperative. This study thoroughly analyzes the spatial and temporal characteristics of CEE in Hubei Province. Furthermore, the spatial Durbin model (SDM) and geographically and temporally weighted regression (GTWR) were applied to analyze the determinants of changes in CEE. The results indicate that significant disparities in CEE exist across Hubei Province, with the eastern region exhibiting the highest efficiency and the central region the lowest. The year 2016 represented a turning point, as Moran’s I increased from −0.0006 in 2016 to 0.5134 in 2017, indicating a shift in the spatial pattern of CEE from a weak and insignificant spatial autocorrelation to a strong positive spatial autocorrelation. In addition, the CEE in Hubei Province demonstrated a “siphon effect” and exhibited pronounced polarization. Based on these findings, region-specific policies are proposed. The eastern region should optimize its industrial structure and strengthen urban governance. The western region should leverage its clean energy advantage and enhance carbon sink capacity. The central region should advance low-carbon industrial transformation and coordinated governance to prevent core cities from transferring resources and pollution to surrounding areas.

Suggested Citation

  • Ming Lei & Xu Han & Ming Yi & Juan Zhang & Wei Zhang & Mengke Huang, 2025. "Research on Regional Disparities and Determinants of Carbon Emission Efficiency: A Case Study of Hubei Province, China," Sustainability, MDPI, vol. 17(21), pages 1-26, October.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:21:p:9465-:d:1779242
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    References listed on IDEAS

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    1. Haihong Song & Liyuan Gu & Yifan Li & Xin Zhang & Yuan Song, 2022. "Research on Carbon Emission Efficiency Space Relations and Network Structure of the Yellow River Basin City Cluster," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    2. Agovino, Massimiliano & Crociata, Alessandro & Sacco, Pier Luigi, 2019. "Proximity effects in obesity rates in the US: A Spatial Markov Chains approach," Social Science & Medicine, Elsevier, vol. 220(C), pages 301-311.
    3. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Xinhong Zhang & Na Zhang & Shihan Wang & Jianhong Dong & Xiaofeng Pan, 2025. "Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in Western Valley Cities in China," Sustainability, MDPI, vol. 17(11), pages 1-21, May.
    5. Linlin Cui & Long Chen & Xiao Yang, 2024. "Evaluation and analysis of green efficiency of China's coastal ports under the "double carbon" goal: two improved DEA models with CO2 emissions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 29099-29128, November.
    6. Julie Le Gallo, 2004. "Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach," International Regional Science Review, , vol. 27(2), pages 138-163, April.
    7. Fisher-Vanden, Karen & Jefferson, Gary H. & Jingkui, Ma & Jianyi, Xu, 2006. "Technology development and energy productivity in China," Energy Economics, Elsevier, vol. 28(5-6), pages 690-705, November.
    8. Chengzhen Song & Qingfang Liu & Jinping Song & Zhengyun Jiang & Zhilin Lu & Yueying Chen, 2022. "Land Use Efficiency in the Yellow River Basin in the Background of China’s Economic Transformation: Spatial-Temporal Characteristics and Influencing Factors," Land, MDPI, vol. 11(12), pages 1-22, December.
    9. Ling Wei & Bing Zeng, 2024. "Urban Technology Transfer, Spatial Spillover Effects, and Carbon Emissions in China," Sustainability, MDPI, vol. 16(22), pages 1-17, November.
    10. Pan, Xiongfeng & Guo, Shucen & Xu, Haitao & Tian, Mengyuan & Pan, Xianyou & Chu, Junhui, 2022. "China's carbon intensity factor decomposition and carbon emission decoupling analysis," Energy, Elsevier, vol. 239(PC).
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