IDEAS home Printed from https://ideas.repec.org/a/taf/pocoec/v34y2022i3p376-408.html
   My bibliography  Save this article

Regional efficiency of the real estate industry in 35 large and medium-sized cities in China: a meta-frontier SBM approach

Author

Listed:
  • Xiao-Xiao Liu
  • Yao-Yao Song
  • Hui-Hui Liu
  • Guo-Liang Yang

Abstract

As the inputs of investment and employees in real estate sectors have continued to increase in recent years, it is crucial to study the evaluation of real estate performance. However, these rarely take the differentiation of the research objects into account, which easily causes deviations of empirical results. In order to obtain more authentic efficiency values, this study systematically analyses the regional real estate efficiency of 35 large and medium-sized cities in China from 2013 to 2017 based on the meta-frontier data envelopment analysis (DEA) with a slacks-based measure (SBM). Specifically, this study firstly simulates the production process by designing a three-stage dynamic DEA model and subsequently conducts a grouping analysis of the evaluated cities by introducing the meta-frontier framework. Through empirical analysis, we find that: (1) grouping regional efficiency evaluation is a modification of ungrouping efficiency; (2) the simulation of the real estate production process contributes to identifying the key problem which influences real estate efficiency; (3) government policy has a certain influence on the regional real estate sector in China. Finally, policy recommendations are proposed from three dimensions: the dimension of national macro policy; the dimension of policy implementation in local governments; and the dimension of management in real estate companies.

Suggested Citation

  • Xiao-Xiao Liu & Yao-Yao Song & Hui-Hui Liu & Guo-Liang Yang, 2022. "Regional efficiency of the real estate industry in 35 large and medium-sized cities in China: a meta-frontier SBM approach," Post-Communist Economies, Taylor & Francis Journals, vol. 34(3), pages 376-408, April.
  • Handle: RePEc:taf:pocoec:v:34:y:2022:i:3:p:376-408
    DOI: 10.1080/14631377.2021.1886789
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14631377.2021.1886789
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14631377.2021.1886789?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.

    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:taf:pocoec:v:34:y:2022:i:3:p:376-408. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CPCE20 .

    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.