IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/9814313.html
   My bibliography  Save this article

DEA Game Cross-Efficiency Model to Urban Public Infrastructure Investment Comprehensive Efficiency of China

Author

Listed:
  • Yu Sun
  • Huixia Huang
  • Chi Zhou

Abstract

In managerial application, data envelopment analysis (DEA) is used by numerous studies to evaluate performances and solve the allocation problem. As the problem of infrastructure investment becomes more and more important in Chinese cities, it is of vital necessity to evaluate the investment efficiency and assign the fund. In practice, there are competitions among cities due to the scarcity of investment funds. However, the traditional DEA model is a pure self-evaluation model without considering the impacts of the other decision-making units (DMUs). Even though using the cross-efficiency model can figure out the best multiplier bundle for the unit and other DMUs, the solution is not unique. Therefore, this paper introduces the game theory into DEA cross-efficiency model to evaluate the infrastructure investment efficiency when cities compete with each other. In this paper, we analyze the case involving 30 provincial capital cities of China. And the result shows that the approach can accomplish a unique and efficient solution for each city (DMU) after the investment fund is allocated as an input variable.

Suggested Citation

  • Yu Sun & Huixia Huang & Chi Zhou, 2016. "DEA Game Cross-Efficiency Model to Urban Public Infrastructure Investment Comprehensive Efficiency of China," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, March.
    • Handle: RePEc:hin:jnlmpe:9814313
    DOI: 10.1155/2016/9814313
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2016/9814313.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2016/9814313.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2016/9814313?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. Abeysekara, Baudhi & Perera, Piyaruwan & Chhipi Shrestha, Gyan Kumar & Gunaruwan, Lalithasiri & Kumarage, Amal & Sadiq, Rehan & Hewage, Kasun, 2021. "Improving the capital deployment efficiency: An infrastructure investment planning process in transportation project," Research in Transportation Economics, Elsevier, vol. 88(C).
    2. Chengshuang Sun & Shijie Li & Qianmai Luo & Jinyu Zhao & Zhenqiang Qi, 2023. "Research on the Efficiency of Urban Infrastructure Investment under the Constraint of Carbon Emissions, Taking Provincial Capitals in China as an Example," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

    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:9814313. 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.