IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p14765-d967697.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/14765/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/22/14765/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    2. Guo-Ya Gan & Hsuan-Shih Lee & Yu-Jwo Tao & Chang-Shu Tu, 2021. "Selecting Suitable, Green Port Crane Equipment for International Commercial Ports," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    3. Zhuyuan Li & Xiaolong Wang & Run Zheng & Sanggyun Na & Chang Liu, 2022. "Evaluation Analysis of the Operational Efficiency and Total Factor Productivity of Container Terminals in China," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
    4. Evelin Krmac & Mozhgan Mansouri Kaleibar, 2023. "A comprehensive review of data envelopment analysis (DEA) methodology in port efficiency evaluation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(4), pages 817-881, December.
    5. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    6. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    7. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    8. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Ke Liu & Yurong Qiao & Qian Zhou, 2021. "Analysis of China’s Industrial Green Development Efficiency and Driving Factors: Research Based on MGWR," IJERPH, MDPI, vol. 18(8), pages 1-22, April.
    10. Xiao Zhang & Di Wang, 2023. "Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    11. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    12. Yakun Wang & Jingli Jiang & Dongqing Wang & Xinshang You, 2022. "Can Mechanization Promote Green Agricultural Production? An Empirical Analysis of Maize Production in China," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    13. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    14. Le Sun & Congmou Zhu & Shaofeng Yuan & Lixia Yang & Shan He & Wuyan Li, 2022. "Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    15. Xing Zhao & Yifan Guo & Zhen Liu & Anteng Xiu, 2023. "Boosting green recovery: the impact of green fiscal policy on green total factor productivity," Economic Change and Restructuring, Springer, vol. 56(4), pages 2601-2619, August.
    16. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    17. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    18. Pelloneová Natalie, 2023. "Evaluating Hockey Players Using Andersen and Petersen's Super-Efficiency Model: Who is the Best Czech Hockey Player in the NHL?," Polish Journal of Sport and Tourism, Sciendo, vol. 30(3), pages 23-28, September.
    19. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    20. Jincai Zhao & Yiyao Wang & Xiufeng Zhang & Qianxi Liu, 2022. "Industrial and Agricultural Water Use Efficiency and Influencing Factors in the Process of Urbanization in the Middle and Lower Reaches of the Yellow River Basin, China," Land, MDPI, vol. 11(8), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14765-:d:967697. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.