IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i13p7475-d588523.html
   My bibliography  Save this article

Research on Inter-Provincial Transfer of CO 2 Emissions from Transportation by Considering Fuzzy Parameter

Author

Listed:
  • Ying Zhu

    (Shaanxi Key Laboratory of Environmental Engineering, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Tianhao Cui

    (Xi’an University of Architecture and Technology of South Australia An De College, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yanzheng Liu

    (Xi’an University of Architecture and Technology of South Australia An De College, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Qin Zhou

    (Shaanxi Key Laboratory of Environmental Engineering, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yexin Li

    (Ankang Environmental Engineering Design Limited Company, Ankang 725000, China)

Abstract

CO 2 reduction from transportation is exerting significant effects on global CO 2 reduction. This industry contributes 23.96% of global CO 2 emissions. In this research, an ecological network input–output interval fuzzy linear programming (EIFP) method is developed to clarify CO 2 reduction responsibilities and depict transfer relationships of transportation. This method integrates input–output analysis (IOA), inexact rough interval fuzzy linear programming (IRFLP) and ecological network analysis (ENA) into a general framework. The proposed method is employed for calculating inter-provincial CO 2 transfer under different situations in 30 provinces of China and further supporting the formulation of regional reduction policies. Results demonstrate that transportation energy demand of Beijing is dependent on imports, which indirectly increases CO 2 reduction pressure in energy supply areas. Therefore, CO 2 reduction responsibility should be traced to source and included in emission reduction plan of energy demand areas. In inter-provincial CO 2 transfer relationships of natural gas, positive relationships account for a higher proportion; therefore, it is feasible to consider raising the proportion of natural gas in the future development direction of transportation. The achievements of this paper can provide scientific references for decision makers to formulate CO 2 reduction policies in transportation.

Suggested Citation

  • Ying Zhu & Tianhao Cui & Yanzheng Liu & Qin Zhou & Yexin Li, 2021. "Research on Inter-Provincial Transfer of CO 2 Emissions from Transportation by Considering Fuzzy Parameter," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7475-:d:588523
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/13/7475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/13/7475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stefan Bakker & Kathleen Dematera Contreras & Monica Kappiantari & Nguyen Anh Tuan & Marie Danielle Guillen & Gessarin Gunthawong & Mark Zuidgeest & Duncan Liefferink & Martin Van Maarseveen, 2017. "Low-Carbon Transport Policy in Four ASEAN Countries: Developments in Indonesia, the Philippines, Thailand and Vietnam," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    2. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    3. Meng, Lei & Guo, Ju'e & Chai, Jian & Zhang, Zengkai, 2011. "China's regional CO2 emissions: Characteristics, inter-regional transfer and emission reduction policies," Energy Policy, Elsevier, vol. 39(10), pages 6136-6144, October.
    4. Wang, Haikun & Fu, Lixin & Bi, Jun, 2011. "CO2 and pollutant emissions from passenger cars in China," Energy Policy, Elsevier, vol. 39(5), pages 3005-3011, May.
    5. Ömer Kaya & Kadir Diler Alemdar & Tiziana Campisi & Ahmet Tortum & Merve Kayaci Çodur, 2021. "The Development of Decarbonisation Strategies: A Three-Step Methodology for the Suitable Analysis of Current EVCS Locations Applied to Istanbul, Turkey," Energies, MDPI, vol. 14(10), pages 1-21, May.
    6. Satoshi Nakano & Asako Okamura & Norihisa Sakurai & Masayuki Suzuki & Yoshiaki Tojo & Norihiko Yamano, 2009. "The Measurement of CO2 Embodiments in International Trade: Evidence from the Harmonised Input-Output and Bilateral Trade Database," OECD Science, Technology and Industry Working Papers 2009/3, OECD Publishing.
    7. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    8. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    9. Maksymilian Mądziel & Tiziana Campisi & Artur Jaworski & Giovanni Tesoriere, 2021. "The Development of Strategies to Reduce Exhaust Emissions from Passenger Cars in Rzeszow City—Poland. A Preliminary Assessment of the Results Produced by the Increase of E-Fleet," Energies, MDPI, vol. 14(4), pages 1-21, February.
    10. Liao, Xiawei & Zhao, Xu & Hall, Jim W. & Guan, Dabo, 2018. "Categorising virtual water transfers through China’s electric power sector," Applied Energy, Elsevier, vol. 226(C), pages 252-260.
    11. Cai, Wei & Liu, Conghu & Zhang, Cuixia & Ma, Minda & Rao, Weizhen & Li, Wenyi & He, Kang & Gao, Mengdi, 2018. "Developing the ecological compensation criterion of industrial solid waste based on emergy for sustainable development," Energy, Elsevier, vol. 157(C), pages 940-948.
    12. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2014. "Analysis of the energy metabolism of urban socioeconomic sectors and the associated carbon footprints: Model development and a case study for Beijing," Energy Policy, Elsevier, vol. 73(C), pages 540-551.
    13. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.
    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. Xu Zhang & Fei-Yu Jin & Xu-Mei Yuan & Hai-Yan Zhang, 2021. "Low-Carbon Multimodal Transportation Path Optimization under Dual Uncertainty of Demand and Time," Sustainability, MDPI, vol. 13(15), pages 1-18, 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. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    2. Junxue Zhang & Lin Ma, 2021. "Urban ecological security dynamic analysis based on an innovative emergy ecological footprint method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16163-16191, November.
    3. Hongkuan Zang & Lirong Zhang & Ye Xu & Wei Li, 2020. "Dynamic Input–Output Analysis of a Carbon Emission System at the Aggregated and Disaggregated Levels: A Case Study in the Northeast Industrial District," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    4. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    5. Zhu, Xueting & Mu, Xianzhong & Hu, Guangwen, 2019. "Ecological network analysis of urban energy metabolic system—A case study of Beijing," Ecological Modelling, Elsevier, vol. 404(C), pages 36-45.
    6. Chen, Shaoqing & Zhu, Feiyao, 2019. "Unveiling key drivers of urban embodied and controlled carbon footprints," Applied Energy, Elsevier, vol. 235(C), pages 835-845.
    7. Liu, Conghu & Gao, Mengdi & Zhu, Guang & Zhang, Cuixia & Zhang, Pan & Chen, Jianqing & Cai, Wei, 2021. "Data driven eco-efficiency evaluation and optimization in industrial production," Energy, Elsevier, vol. 224(C).
    8. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.
    9. Zhang, Yiyi & Wang, Jiaqi & Zhang, Linmei & Liu, Jiefeng & Zheng, Hanbo & Fang, Jiake & Hou, Shengren & Chen, Shaoqing, 2020. "Optimization of China’s electric power sector targeting water stress and carbon emissions," Applied Energy, Elsevier, vol. 271(C).
    10. Hong, Jingke & Shen, Geoffrey Qiping & Guo, Shan & Xue, Fan & Zheng, Wei, 2016. "Energy use embodied in China׳s construction industry: A multi-regional input–output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1303-1312.
    11. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    12. Cai, Yanpeng & Applegate, Scott & Yue, Wencong & Cai, Jianying & Wang, Xuan & Liu, Gengyuan & Li, Chunhui, 2017. "A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet," Energy Policy, Elsevier, vol. 100(C), pages 314-325.
    13. Zhang, Jiyuan & Tang, Hailong & Chen, Min, 2019. "Linear substitute model-based uncertainty analysis of complicated non-linear energy system performance (case study of an adaptive cycle engine)," Applied Energy, Elsevier, vol. 249(C), pages 87-108.
    14. Zhang, Yan & Zheng, Hongmei & Yang, Zhifeng & Su, Meirong & Liu, Gengyuan & Li, Yanxian, 2015. "Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China," Energy Policy, Elsevier, vol. 86(C), pages 651-663.
    15. Shun Jia & Qingwen Yuan & Wei Cai & Qinghe Yuan & Conghu Liu & Jingxiang Lv & Zhongwei Zhang, 2018. "Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes," Energies, MDPI, vol. 11(8), pages 1-16, August.
    16. Dai, Jiangyu & Wu, Shiqiang & Han, Guoyi & Weinberg, Josh & Xie, Xinghua & Wu, Xiufeng & Song, Xingqiang & Jia, Benyou & Xue, Wanyun & Yang, Qianqian, 2018. "Water-energy nexus: A review of methods and tools for macro-assessment," Applied Energy, Elsevier, vol. 210(C), pages 393-408.
    17. Changyu Zhou & Guohe Huang & Jiapei Chen, 2019. "A Type-2 Fuzzy Chance-Constrained Fractional Integrated Modeling Method for Energy System Management of Uncertainties and Risks," Energies, MDPI, vol. 12(13), pages 1-21, June.
    18. Xinhui Feng & Yan Li & Lu Zhang & Chuyu Xia & Er Yu & Jiayu Yang, 2022. "Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis," Land, MDPI, vol. 11(9), pages 1-22, August.
    19. Karmaker, Shamal Chandra & Hosan, Shahadat & Chapman, Andrew J. & Saha, Bidyut Baran, 2021. "The role of environmental taxes on technological innovation," Energy, Elsevier, vol. 232(C).
    20. Thi Mai Chi Nguyen & Hironori Kato & Le Binh Phan, 2020. "Is Built Environment Associated with Travel Mode Choice in Developing Cities? Evidence from Hanoi," Sustainability, MDPI, vol. 12(14), pages 1-16, July.

    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:13:y:2021:i:13:p:7475-:d:588523. 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.