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Analysis on Energy Conservation and Emission Reduction Efficiency and Influencing Factors for Ports around Bohai in China under the Low Carbon Target

Author

Listed:
  • Shuang Wang

    (College of Economics and Management, Dalian University, Dalian 116622, China
    Graduate School, Lyceum of the Philippines University, Manila 1002, Philippines)

  • Yafei Luo

    (College of Economics and Management, Dalian University, Dalian 116622, China)

  • Zenghui Liu

    (College of Economics and Management, Dalian University, Dalian 116622, China)

  • Bo Lu

    (College of Economics and Management, Dalian University of Technology, Dalian 116024, China)

Abstract

The ports around Bohai in China were taken as the object of study in this research. In light of the panel data from 2014 to 2020, the super-efficiency SBM model was applied to measure and calculate the energy conservation and emission reduction efficiency of ports. In addition, the indicator system of influencing factors for energy conservation and emission reduction efficiency was constructed on the basis of the STIRPAT model, which provided a brand-new research perspective on environmental regulation, and the research method of ridge regression was applied for studying the influencing factors of energy conservation and emission reduction. The conclusion shows: except for the energy conservation and emission reduction efficiency of Qingdao port and Tianjin port reaching the significant degree, the energy conservation and emission reduction efficiency of other ports turned out to be invalid in the years of measurement, manifesting a relatively lower situation in the overall energy conservation and emission reduction efficiency for ports around Bohai; the major influencing factor for the energy conservation and emission reduction efficiency of the ports around Bohai is environmental regulation, which has played a prominent positive role; the technical factors also play an active role in enhancing energy conservation and emission reduction efficiency, and present a reversed tendency with resource endowment; the comprehensive economic strength can contribute to the efficiency of energy conservation and emission reduction of the ports.

Suggested Citation

  • Shuang Wang & Yafei Luo & Zenghui Liu & Bo Lu, 2022. "Analysis on Energy Conservation and Emission Reduction Efficiency and Influencing Factors for Ports around Bohai in China under the Low Carbon Target," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14765-:d:967697
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    References listed on IDEAS

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    1. Na, Joon-Ho & Choi, A-Young & Ji, Jianhua & Zhang, Dali, 2017. "Environmental efficiency analysis of Chinese container ports with CO2 emissions: An inseparable input-output SBM model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 13-24.
    2. Gaodan Deng & Jingxiao Chen & Quanlong Liu, 2022. "Influence Mechanism and Evolutionary Game of Environmental Regulation on Green Port Construction," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    3. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    4. Liu, Jiaguo & Wang, Xiaoye & Guo, Junyu, 2021. "Port efficiency and its influencing factors in the context of Pilot Free Trade Zones," Transport Policy, Elsevier, vol. 105(C), pages 67-79.
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    2. Alper Seyhan, 2025. "A Novel Study for Machine-Learning-Based Ship Energy Demand Forecasting in Container Port," Sustainability, MDPI, vol. 17(12), pages 1-14, June.
    3. Yilin Zeng & Xiang Yuan & Bing Hou, 2023. "Analysis of Carbon Emission Reduction at the Port of Integrated Logistics: The Port of Shanghai Case Study," Sustainability, MDPI, vol. 15(14), pages 1-21, July.

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