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Study on the Carbon Emission Spillover Effects of Transportation under Technological Advancements

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  • Yunlong Liu

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Leiyu Chen

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Chengfeng Huang

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

Regional transportation emissions reduction is the key to realizing deep emission reduction and the neutralization of transportation. Transportation development is accompanied by technological progress, and inter-regional transportation technological progress and carbon emission spillover effects are issues worthy of study. Based on the 2011–2020 provincial data of 30 provinces and cities in China, a spatial Durbin model was constructed to explore the impact of technological progress on regional spillovers of carbon emissions and the driving effect of emissions reduction. The conclusions show that the “community effect” causes direct interactions between transportation carbon emissions reduction practices in various provinces; the “acquired effect” and “leakage effect” drive technological progress between regions and cause indirect interactions between transportation carbon emissions reduction practices; transportation technology progress is more likely to occur between regions with similar transportation development. Finally, some suggestions are put forward in terms of establishing a mechanism for the coordinated reduction of regional carbon emissions, strengthening the interactions and economic connections between inter-regional transportation technologies, optimizing the spatial layout of transportation infrastructure, and building a low-carbon transportation system, so as to lay a solid foundation for the coordinated reduction of regional transportation carbon emissions.

Suggested Citation

  • Yunlong Liu & Leiyu Chen & Chengfeng Huang, 2022. "Study on the Carbon Emission Spillover Effects of Transportation under Technological Advancements," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10608-:d:897680
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    References listed on IDEAS

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    1. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    2. Zhao, Min & Sun, Tao, 2022. "Dynamic spatial spillover effect of new energy vehicle industry policies on carbon emission of transportation sector in China," Energy Policy, Elsevier, vol. 165(C).
    3. Jiang, Yanqun & Ding, Zhongjun & Zhou, Jun & Wu, Peng & Chen, Bokui, 2022. "Estimation of traffic emissions in a polycentric urban city based on a macroscopic approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    4. Sufyanullah, Khan & Ahmad, Khan Arshad & Sufyan Ali, Muhammad Abu, 2022. "Does emission of carbon dioxide is impacted by urbanization? An empirical study of urbanization, energy consumption, economic growth and carbon emissions - Using ARDL bound testing approach," Energy Policy, Elsevier, vol. 164(C).
    5. Zhang, Youguo, 2017. "Interregional carbon emission spillover–feedback effects in China," Energy Policy, Elsevier, vol. 100(C), pages 138-148.
    6. Apa, Roberta & De Noni, Ivan & Orsi, Luigi & Sedita, Silvia Rita, 2018. "Knowledge space oddity: How to increase the intensity and relevance of the technological progress of European regions," Research Policy, Elsevier, vol. 47(9), pages 1700-1712.
    7. Yu, Yang & Li, Shuangqi & Sun, Huaping & Taghizadeh-Hesary, Farhad, 2021. "Energy carbon emission reduction of China’s transportation sector: An input–output approach," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 378-393.
    8. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    9. Arvin, Mak B. & Pradhan, Rudra P. & Norman, Neville R., 2015. "Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries," Utilities Policy, Elsevier, vol. 35(C), pages 50-66.
    10. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
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    Cited by:

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    2. Nian Wang & Yingming Zhu, 2022. "The Integration of Traditional Transportation Infrastructure and Informatization Development: How Does It Affect Carbon Emissions?," Energies, MDPI, vol. 15(20), pages 1-23, October.
    3. Shiqing Zhang & Yaping Li & Zheng Liu & Xiaofei Kou & Wenlong Zheng, 2023. "Towards a Decoupling between Economic Expansion and Carbon Dioxide Emissions of the Transport Sector in the Yellow River Basin," Sustainability, MDPI, vol. 15(5), pages 1-26, February.

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