IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/539596.html
   My bibliography  Save this article

Energy and Environmental Efficiency of China’s Transportation Sector: A Multidirectional Analysis Approach

Author

Listed:
  • Gongbing Bi
  • Pingchun Wang
  • Feng Yang
  • Liang Liang

Abstract

With the rapid economic development, the transportation sector becomes one of the high-energy-consumption and high-CO 2 -emissions sectors in China. In order to ensure efficient use of energy and to reduce CO 2 pollution, it is important to gain the best performance standards in China’s transportation sector. Data envelopment analysis (DEA) has been accepted as a popular tool of efficiency measurement. However, previous studies based on DEA are mainly restricted to the radial expansions of outputs or radial contractions of inputs. In this paper, we present a nonradial DEA model with multidirectional efficiency analysis (MEA) involving undesirable outputs for the measurement of regional energy and environmental efficiency of China’s transportation sector during the period 2006–2010. We not only evaluate the energy and environmental efficiency level and trend of China’s transportation sector but also investigate the efficiency patterns of 30 regions and three major areas of China. Additionally, we identify the energy saving potential and CO 2 emissions reduction potential for each province and area in China in this study.

Suggested Citation

  • Gongbing Bi & Pingchun Wang & Feng Yang & Liang Liang, 2014. "Energy and Environmental Efficiency of China’s Transportation Sector: A Multidirectional Analysis Approach," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, May.
    • Handle: RePEc:hin:jnlmpe:539596
    DOI: 10.1155/2014/539596
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/539596.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2014/539596.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/539596?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
    ---><---

    Citations

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


    Cited by:

    1. 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).
    2. José Antonio Palomero-González & Vicent Almenar-Llongo & Ramón Fuentes-Pascual, 2021. "Evaluating the Efficiency of Water Distribution Network Sectors Using the DEA-Weight Russell Directional Distance Model: The Case of the City of Valencia (Spain)," Sustainability, MDPI, vol. 13(19), pages 1-21, September.

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:539596. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.