IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v122y2018icp129-141.html
   My bibliography  Save this article

Terrestrial transport modalities in China concerning monetary, energy and environmental costs

Author

Listed:
  • Huang, Shupei
  • An, Haizhong
  • Viglia, Silvio
  • Fiorentino, Gabriella
  • Corcelli, Fabiana
  • Fang, Wei
  • Ulgiati, Sergio

Abstract

We investigate the terrestrial transport by pointing out the amount, the quality and the distribution of resources use among nine transport modalities at the national scale in China, under monetary, energy and emergy perspectives. The private car mode accounts for the largest share of the total monetary, energy and environmental resource investment of the terrestrial transportation, which means the lowest input-output and environmental efficiency. Consequently, improvement of energy and environmental efficiency in individual transport modes and the inevitable need to encourage the population to shift to public transport modes whit better performances remain crucial priorities. The most efficient transport modality depends on the evaluation method applied that assigns different priorities to specific aspects. From a monetary perspective, the most efficient passenger transport modality is the regular train followed by the high-speed train. In terms of cumulative energy demand, regular train and subway have the lowest unit cost among all passenger transport modes. Concerning the emergy accounting considering the environmental support, the urban bus for passengers and the regular train for commodity transport show the best performance per unit service. Even with needs for improved technical efficiency, the promotion of above less resource-intensive modalities in accordance with the different purposes would improve the global efficiency of the transportation system and offer better and larger transport options with the same resource investment.

Suggested Citation

  • Huang, Shupei & An, Haizhong & Viglia, Silvio & Fiorentino, Gabriella & Corcelli, Fabiana & Fang, Wei & Ulgiati, Sergio, 2018. "Terrestrial transport modalities in China concerning monetary, energy and environmental costs," Energy Policy, Elsevier, vol. 122(C), pages 129-141.
  • Handle: RePEc:eee:enepol:v:122:y:2018:i:c:p:129-141
    DOI: 10.1016/j.enpol.2018.06.047
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142151830435X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2018.06.047?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. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    2. Lou, Bo & Ulgiati, Sergio, 2013. "Identifying the environmental support and constraints to the Chinese economic growth—An application of the Emergy Accounting method," Energy Policy, Elsevier, vol. 55(C), pages 217-233.
    3. Lutz Kilian, 2014. "Oil Price Shocks: Causes and Consequences," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 133-154, October.
    4. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    5. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.
    6. Brown, Mark T. & Ulgiati, Sergio, 2016. "Assessing the global environmental sources driving the geobiosphere: A revised emergy baseline," Ecological Modelling, Elsevier, vol. 339(C), pages 126-132.
    7. 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.
    8. HE, Ling-Yun & QIU, Lu-Yi, 2016. "Transport demand, harmful emissions, environment and health co-benefits in China," Energy Policy, Elsevier, vol. 97(C), pages 267-275.
    9. Federici, M. & Ulgiati, S. & Basosi, R., 2009. "Air versus terrestrial transport modalities: An energy and environmental comparison," Energy, Elsevier, vol. 34(10), pages 1493-1503.
    10. Kilian, Lutz & Rebucci, Alessandro & Spatafora, Nikola, 2009. "Oil shocks and external balances," Journal of International Economics, Elsevier, vol. 77(2), pages 181-194, April.
    11. Hao, Han & Geng, Yong & Li, Weiqi & Guo, Bin, 2015. "Energy consumption and GHG emissions from China's freight transport sector: Scenarios through 2050," Energy Policy, Elsevier, vol. 85(C), pages 94-101.
    12. Brown, Mark T. & Campbell, Daniel E. & De Vilbiss, Christopher & Ulgiati, Sergio, 2016. "The geobiosphere emergy baseline: A synthesis," Ecological Modelling, Elsevier, vol. 339(C), pages 92-95.
    13. Brown, Mark T. & Ulgiati, Sergio, 2010. "Updated evaluation of exergy and emergy driving the geobiosphere: A review and refinement of the emergy baseline," Ecological Modelling, Elsevier, vol. 221(20), pages 2501-2508.
    14. Gambhir, Ajay & Tse, Lawrence K.C. & Tong, Danlu & Martinez-Botas, Ricardo, 2015. "Reducing China’s road transport sector CO2 emissions to 2050: Technologies, costs and decomposition analysis," Applied Energy, Elsevier, vol. 157(C), pages 905-917.
    15. Guo, Bin & Geng, Yong & Franke, Bernd & Hao, Han & Liu, Yaxuan & Chiu, Anthony, 2014. "Uncovering China’s transport CO2 emission patterns at the regional level," Energy Policy, Elsevier, vol. 74(C), pages 134-146.
    16. Federici, M. & Ulgiati, S. & Basosi, R., 2008. "A thermodynamic, environmental and material flow analysis of the Italian highway and railway transport systems," Energy, Elsevier, vol. 33(5), pages 760-775.
    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. Haizhen Wu & Weiguo Fan & Jianchang Lu, 2021. "Researching on the Sustainability of Transportation Industry Based on a Coupled Emergy and System Dynamics Model: A Case Study of Qinghai," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    2. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Xiaomin Wang & Jingyu Liu & Wenxin Zhang, 2022. "Impact of High-Speed Rail on Spatial Structure in Prefecture-Level Cities: Evidence from the Central Plains Urban Agglomeration, China," Sustainability, MDPI, vol. 14(23), pages 1-17, December.
    4. Lyu, Yanfeng & Raugei, Marco & Zhang, Xiaohong & Mellino, Salvatore & Ulgiati, Sergio, 2021. "Environmental cost and impacts of chemicals used in agriculture: An integration of emergy and Life Cycle Assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).

    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. Chen, Yangfan & Zhang, Xiaohong, 2021. "Investigating the interactions between Chinese economic growth, energy consumption and its air environmental cost during 1989–2016 and forecasting their future trends," Ecological Modelling, Elsevier, vol. 461(C).
    2. Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2017. "Oil currencies in the face of oil shocks: what can be learned from time-varying specifications?," Applied Economics, Taylor & Francis Journals, vol. 49(18), pages 1774-1793, April.
    3. Solaymani, Saeed, 2019. "CO2 emissions patterns in 7 top carbon emitter economies: The case of transport sector," Energy, Elsevier, vol. 168(C), pages 989-1001.
    4. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Cristiano, S. & Ulgiati, S. & Gonella, F., 2021. "Systemic sustainability and resilience assessment of health systems, addressing global societal priorities: Learnings from a top nonprofit hospital in a bioclimatic building in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    6. Pan, Hengyu & Geng, Yong & Jiang, Ping & Dong, Huijuan & Sun, Lu & Wu, Rui, 2018. "An emergy based sustainability evaluation on a combined landfill and LFG power generation system," Energy, Elsevier, vol. 143(C), pages 310-322.
    7. Jiefang Dong & Chun Deng & Rongrong Li & Jieyu Huang, 2016. "Moving Low-Carbon Transportation in Xinjiang: Evidence from STIRPAT and Rigid Regression Models," Sustainability, MDPI, vol. 9(1), pages 1-15, December.
    8. John Baffes & M. Ayhan Kose & Franziska Ohnsorge & Marc Stocker, 2015. "The Great Plunge in Oil Prices: Causes, Consequences, and Policy Responses," Policy Research Notes (PRNs) 94725, The World Bank.
    9. Lee, Dong Joo & Brown, Mark T., 2021. "Estimating the Value of Global Ecosystem Structure and Productivity: A Geographic Information System and Emergy Based Approach," Ecological Modelling, Elsevier, vol. 439(C).
    10. Zhicheng Gao & Rongjin Wan & Qian Ye & Weiguo Fan & Shihui Guo & Sergio Ulgiati & Xiaobin Dong, 2020. "Typhoon Disaster Risk Assessment Based on Emergy Theory: A Case Study of Zhuhai City, Guangdong Province, China," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    11. Duian Lu & Jie Cheng & Zhenzhou Feng & Li Sun & Wei Mo & Degang Wang, 2022. "Emergy Synthesis of Two Oyster Aquaculture Systems in Zhejiang Province, China," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    12. Liu, Lei & Wang, Ke & Wang, Shanshan & Zhang, Ruiqin & Tang, Xiaoyan, 2018. "Assessing energy consumption, CO2 and pollutant emissions and health benefits from China's transport sector through 2050," Energy Policy, Elsevier, vol. 116(C), pages 382-396.
    13. Thomas Walther & Lanouar Charfeddine & Tony Klein, 2018. "Oil Price Changes and U.S. Real GDP Growth: Is this Time Different?," Working Papers on Finance 1816, University of St. Gallen, School of Finance.
    14. Huang, Shupei & An, Haizhong & Wen, Shaobo & An, Feng, 2017. "Revisiting driving factors of oil price shocks across time scales," Energy, Elsevier, vol. 139(C), pages 617-629.
    15. Charfeddine, Lanouar & Klein, Tony & Walther, Thomas, 2018. "Oil Price Changes and U.S. Real GDP Growth: Is this Time Different?," QBS Working Paper Series 2018/03, Queen's University Belfast, Queen's Business School.
    16. Siegel, Eric & Brown, Mark T. & De Vilbiss, Chris & Arden, Sam, 2016. "Calculating solar equivalence ratios of the four major heat-producing radiogenic isotopes in the Earth's crust and mantle," Ecological Modelling, Elsevier, vol. 339(C), pages 140-147.
    17. Brown, Mark T. & Ulgiati, Sergio, 2016. "Emergy assessment of global renewable sources," Ecological Modelling, Elsevier, vol. 339(C), pages 148-156.
    18. Khalil, Makram, 2022. "Oil prices, manufacturing goods, and nontradeable services," Journal of International Economics, Elsevier, vol. 134(C).
    19. Khalil, Makram, 2020. "Global oil prices and the macroeconomy: The role of tradeable manufacturing versus nontradeable services," Discussion Papers 60/2020, Deutsche Bundesbank.
    20. Bu, Chujie & Cui, Xueqin & Li, Ruiyao & Li, Jin & Zhang, Yaxin & Wang, Can & Cai, Wenjia, 2021. "Achieving net-zero emissions in China’s passenger transport sector through regionally tailored mitigation strategies," Applied Energy, Elsevier, vol. 284(C).

    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:eee:enepol:v:122:y:2018:i:c:p:129-141. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.