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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
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    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, Saige & Chen, Bin, 2016. "Energy–water nexus of urban agglomeration based on multiregional input–output tables and ecological network analysis: A case study of the Beijing–Tianjin–Hebei region," Applied Energy, Elsevier, vol. 178(C), pages 773-783.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
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    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.

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