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A Heterogeneity Study of Carbon Emissions Driving Factors in Beijing-Tianjin-Hebei Region, China, Based on PGTWR Model

Author

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  • Ting Lou

    (School of Economics, Hebei University, Baoding 071002, China
    Research Center of Resources Utilization and Environmental Conservation, Hebei University, Baoding 071002, China)

  • Jianhui Ma

    (School of Economics, Hebei University, Baoding 071002, China
    Research Center of Resources Utilization and Environmental Conservation, Hebei University, Baoding 071002, China
    School of Management and Economics, Tianjin University, Tianjin 300072, China)

  • Yu Liu

    (School of Economics, Hebei University, Baoding 071002, China
    Research Center of Resources Utilization and Environmental Conservation, Hebei University, Baoding 071002, China)

  • Lei Yu

    (School of Economics, Hebei University, Baoding 071002, China
    Research Center of Resources Utilization and Environmental Conservation, Hebei University, Baoding 071002, China)

  • Zhaopeng Guo

    (School of Economics, Hebei University, Baoding 071002, China
    Research Center of Resources Utilization and Environmental Conservation, Hebei University, Baoding 071002, China)

  • Yan He

    (School of Economics, Hebei University, Baoding 071002, China
    Research Center of Resources Utilization and Environmental Conservation, Hebei University, Baoding 071002, China)

Abstract

The Beijing–Tianjin–Hebei region is an important economic growth pole in China and achieving carbon emission reduction in the region is of great practical significance. Studying the heterogeneity of the influencing factors of carbon emission in this region contributes to formulating targeted regional carbon emission reduction policies. Therefore, this paper adopted thirteen cities as individuals of cross-section and conducted spatial and temporal heterogeneity analysis of the influencing factors of converted carbon emissions in the region with panel data from 2013 to 2018 based on the PGTWR model. From a space-time perspective, the regression coefficient of each influencing factor in this region has obvious heterogeneity, which is mainly reflected in the time dimension. In the study period, the impact of industrial structure, the level of urbanization, energy intensity, and the level of economic growth on carbon emission showed a decline curve, while the impact of the level of opening up and the size of population was on the rise, indicating that more attention should be paid to the latter two factors for the time to come. In terms of space, the differences in the influence of industrial structure and energy intensity on carbon emission vary significantly.

Suggested Citation

  • Ting Lou & Jianhui Ma & Yu Liu & Lei Yu & Zhaopeng Guo & Yan He, 2022. "A Heterogeneity Study of Carbon Emissions Driving Factors in Beijing-Tianjin-Hebei Region, China, Based on PGTWR Model," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6644-:d:827339
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    2. Qifan Guan, 2023. "Decomposing and Decoupling the Energy-Related Carbon Emissions in the Beijing–Tianjin–Hebei Region Using the Extended LMDI and Tapio Index Model," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    3. He Zhang & Jingyi Peng & Rui Wang & Yuanyuan Guo & Jing He & Dahlia Yu & Jianxun Zhang, 2023. "Efficiency and Potential Evaluation to Promote Differentiated Low-Carbon Management in Chinese Counties," IJERPH, MDPI, vol. 20(4), pages 1-19, February.
    4. Shengli Dai & Yingying Wang & Weimin Zhang, 2022. "The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model," IJERPH, MDPI, vol. 19(15), pages 1-21, August.

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