IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1218900.html
   My bibliography  Save this article

Efficiency Evaluation and Analysis of Low-Carbon Tourism and Ecological Construction Based on DEA Model

Author

Listed:
  • Eryan Guo
  • Jing He
  • Zaoli Yang

Abstract

The rapid development of tourism in China has also caused a lot of energy consumption and serious environmental problems. In the context of sustainable development, low-carbon tourism has become the consensus of management departments, relevant industries, and academia. In environmental-related fields, DEA is considered as an excellent efficiency analysis tool because of its powerful optimization ability. The final variable of DEA method is weight. In order to avoid the influence of human factors with predetermined weights in tourism analysis, this paper studies the evaluation of tourism ecological efficiency based on DEA model. China’s overall tourism ecological efficiency showed a fluctuating upward trend, rising from 0.853 in 2018 to 0.906 in 2021. The national average efficiency over the past four years is 0.855, which is at a low level, indicating that the construction of tourism ecology is still in its infancy, and there is still much room for improvement in the future. As the tourism industry system involves many aspects, such as natural ecology, humanities, economy, and so on, it is an extremely complex system. The research on the ecological efficiency of tourism cannot simply rely on the knowledge system and thinking of a single discipline. Therefore, combined with the relevant theories and knowledge of tourism, management, industrial economics, regional economics, industrial ecology, and other disciplines, this paper makes a systematic study on the problems and countermeasures of Qiaozhai.

Suggested Citation

  • Eryan Guo & Jing He & Zaoli Yang, 2022. "Efficiency Evaluation and Analysis of Low-Carbon Tourism and Ecological Construction Based on DEA Model," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, July.
  • Handle: RePEc:hin:jnlmpe:1218900
    DOI: 10.1155/2022/1218900
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/1218900.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/1218900.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/1218900?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:jnlmpe:1218900. 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.