IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/8228763.html
   My bibliography  Save this article

Analysis of Public Management Performance Evaluation Model Based on Fuzzy DEA Model

Author

Listed:
  • Chenguang Sun
  • Le Zhang
  • Zhihui Mao
  • Wen-Tsao Pan

Abstract

The evaluation of public management performance is the key to identify the effectiveness of the work of public administration, and public policy is an important guarantee for the orderly promotion of the work of public administration; therefore, it is important to analyze the effectiveness of public management policies to evaluate public management performance. Taking environmental protection policies as an example, this paper constructs an environmental-economic DEA efficiency analysis model using the DEA method to conduct a comprehensive evaluation of EEE in different provinces of China. It is found that EEE is highly correlated with the regional economic development level and is highly influenced by policy fluctuations, but the overall EEE of different provinces from 2016 to 2020 tends to be consistent and has a certain degree of stability. The conclusions of this paper have important implications for policy guidance, emphasizing the need to focus on the coordination of economic development and environmental protection, and the need for the improvement of the environmental policy system to be continuously optimized in an incremental manner, taking into account the actual situation of local development.

Suggested Citation

  • Chenguang Sun & Le Zhang & Zhihui Mao & Wen-Tsao Pan, 2022. "Analysis of Public Management Performance Evaluation Model Based on Fuzzy DEA Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-11, April.
  • Handle: RePEc:hin:jnddns:8228763
    DOI: 10.1155/2022/8228763
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2022/8228763.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2022/8228763.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/8228763?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
    ---><---

    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:jnddns:8228763. 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.