IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i6d10.1007_s10668-023-03192-2.html
   My bibliography  Save this article

Freight transport structure evaluation and optimization toward sustainable development: New evidence from the SBM-DEA model with undesirable outputs

Author

Listed:
  • Rujia Chen

    (Harbin Institute of Technology)

  • Yaping Zhang

    (Harbin Institute of Technology)

Abstract

Improving transport efficiency and optimizing freight structure are the core of achieving sustainable transport development. However, few studies have conducted an in-depth analysis of freight structure optimization and transport efficiency at the provincial level in China. Hence, a new economy and carbon dioxide (CO2) emissions evaluation model based on the slack-based measurement data envelopment analysis (SBM-DEA) with undesirable outputs was proposed to analyze the transport efficiency and optimize freight structure in five provinces of China from 2005 to 2019. And optimization potential of the freight and passenger transport sector was uncovered in the provinces. The results showed that: (1) the regional difference in transport efficiency was significant, which indicated room for improvement in these provinces. (2) Freight structure was estimated and optimized by the slack variables of the evaluation model. The slack variables of railway, road, and waterway freight transport were large among these provinces. (3) The optimization potential of the freight transport sector was greater than that of the passenger transport in the regions. It indicated optimizing freight structure should be prioritized over passenger transport. Finally, some implications were put forward for sustainable transport development in China. The results provide significant insight into freight structure optimization as well as novel perspectives into the formulation of carbon mitigation strategies.

Suggested Citation

  • Rujia Chen & Yaping Zhang, 2024. "Freight transport structure evaluation and optimization toward sustainable development: New evidence from the SBM-DEA model with undesirable outputs," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 14257-14280, June.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03192-2
    DOI: 10.1007/s10668-023-03192-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03192-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-023-03192-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pedinotti-Castelle, Marianne & Pineau, Pierre-Olivier & Vaillancourt, Kathleen & Amor, Ben, 2022. "Freight transport modal shifts in a TIMES energy model: Impacts of endogenous and exogenous modeling choice," Applied Energy, Elsevier, vol. 324(C).
    2. Walid Chatti & Bassem Ben Soltane & Turki Abalala, 2019. "Impacts of Public Transport Policy on City Size and Welfare," Networks and Spatial Economics, Springer, vol. 19(4), pages 1097-1122, December.
    3. Agha Iqbal Ali & Catherine Lerme, 1997. "Comparative advantage and disadvantage in DEA," Annals of Operations Research, Springer, vol. 73(0), pages 215-232, October.
    4. Xu, Xun & Chase, Nicholas & Peng, Tianduo, 2021. "Economic structural change and freight transport demand in China," Energy Policy, Elsevier, vol. 158(C).
    5. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    6. 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).
    7. Mohmand, Yasir Tariq & Mehmood, Fahad & Mughal, Khurrum Shahzad & Aslam, Faheem, 2021. "Investigating the causal relationship between transport infrastructure, economic growth and transport emissions in Pakistan," Research in Transportation Economics, Elsevier, vol. 88(C).
    8. Shankar, Ravi & Pathak, Devendra Kumar & Choudhary, Devendra, 2019. "Decarbonizing freight transportation: An integrated EFA-TISM approach to model enablers of dedicated freight corridors," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 85-100.
    9. Li, Tao & Yang, Wenyue & Zhang, Haoran & Cao, Xiaoshu, 2016. "Evaluating the impact of transport investment on the efficiency of regional integrated transport systems in China," Transport Policy, Elsevier, vol. 45(C), pages 66-76.
    10. Y.T. Mohmand & Fahad Mehmood & K.S. Mughal & F. Aslam, 2021. "Investigating the Causal Relationship between Transport Infrastructure, Economic Growth and Transport Emissions in Pakistan," Post-Print hal-04317820, HAL.
    11. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    12. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    13. Liu, Hongwei & Wu, Jie & Chu, Junfei, 2019. "Environmental efficiency and technological progress of transportation industry-based on large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 475-482.
    14. Sun, Shufen & Huang, Chenchen, 2021. "Energy structure evaluation and optimization in BRICS: A dynamic analysis based on a slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 216(C).
    15. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    16. Jun-Fei Chu & Jie Wu & Ma-Lin Song, 2018. "An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application," Annals of Operations Research, Springer, vol. 270(1), pages 105-124, November.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    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. Zhaoyang Cai & Ge Song & Weiming Li, 2025. "Does digital economy promote urban land green use efficiency?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(3), pages 8043-8064, March.

    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. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    2. 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).
    3. Tianbo Tang & Jianxin You & Hui Sun & Hao Zhang, 2019. "Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    4. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 115-138, March.
    5. Ji, Wei & Huang, Zhengfeng & Gao, Gao & Zheng, Pengjun, 2024. "Evaluation of integrated transport efficiency and equity at the county level——taking the counties in ningbo city as an example," Transport Policy, Elsevier, vol. 148(C), pages 257-272.
    6. Zhiqiang Zhu & Xuechi Zhang & Mengqing Xue & Yaoyao Song, 2023. "Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    7. Omrani, Hashem & Yang, Zijiang & Karbasian, Arash & Teplova, Tamara, 2023. "Combination of top-down and bottom-up DEA models using PCA: A two-stage network DEA with shared input and undesirable output for evaluation of the road transport sector," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    8. Tao, Xueping & Wang, Ping & Zhu, Bangzhu, 2016. "Provincial green economic efficiency of China: A non-separable input–output SBM approach," Applied Energy, Elsevier, vol. 171(C), pages 58-66.
    9. Pang, Qinghua & Qiu, Man & Zhang, Lina & Chiu, Yung-ho, 2024. "Congestion effects of energy and its influencing factors: China's transportation sector," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    10. Hao Zhang & Xinyue Wang & Letao Chen & Yujia Luo & Sujie Peng, 2022. "Evaluation of the Operational Efficiency and Energy Efficiency of Rail Transit in China’s Megacities Using a DEA Model," Energies, MDPI, vol. 15(20), pages 1-16, October.
    11. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    12. Hashem Omrani & Khatereh Shafaat & Arash Alizadeh, 2019. "Integrated data envelopment analysis and cooperative game for evaluating energy efficiency of transportation sector: a case of Iran," Annals of Operations Research, Springer, vol. 274(1), pages 471-499, March.
    13. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    14. Tao, Xiangyang & Zhao, Jing & Hong, Jingke & Xiao, Fei, 2024. "Pathway towards carbon peaking cities in the Chinese transport sector," Transport Policy, Elsevier, vol. 153(C), pages 39-53.
    15. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).
    16. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    17. Zhu, Qingyuan & Xu, Chengzhen & Chen, Qingjuan & Wu, Liangpeng, 2024. "Oil price distortion and its impact on green economic efficiency in China’s transportation: A spatial effect perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    18. Benchang Chen & Xiangfeng Ji & Xiangyan Ji, 2023. "Dynamic and Static Analysis of Carbon Emission Efficiency in China’s Transportation Sector," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    19. Yao, Lianxiao & Chen, Weidong, 2025. "Temporal and spatial evolution of low-carbon transportation efficiency and its influencing factors in China," Energy, Elsevier, vol. 315(C).
    20. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.

    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:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03192-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.