IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v33y2022i6p1160-1180.html
   My bibliography  Save this article

Eco-efficiency Assessment of Chinese Petrochemical Enterprises: A Data Envelopment Analysis Approach

Author

Listed:
  • Yanqiu Wang
  • Lixia Yao
  • Shengnan Cui
  • Zhiwei Zhu

Abstract

This study uses the Charnes, Cooper and Rhodes (CCR) and Banker, Charnes and Cooper (BBC) models of Data Envelopment Analysis (DEA) to evaluate the relative eco-efficiency and operating efficiency of the ten petrochemical enterprises. A random sample of ten petrochemical enterprises were selected from the Northeastern area of China. The data collected from the ten petrochemical enterprises were run on the DEA models and the evaluated results were input for the difference analysis for the scale efficiency and technical efficiency. Then the estimates the petrochemical enterprise's operating efficiency and ecological efficiency along with the influencing factors were run by regression analysis in order to verify the evaluation model and the rationality of influencing factors. After the projection analysis of the DEA, the firms that did not reach the values of effectiveness were identified and provided the suggestions for the targeted improvement values of eco-efficiency. Thus, this application procedure can be viewed as an example of the application development of the new DEA model and provides the reference for related industry making sustainable development strategy.

Suggested Citation

  • Yanqiu Wang & Lixia Yao & Shengnan Cui & Zhiwei Zhu, 2022. "Eco-efficiency Assessment of Chinese Petrochemical Enterprises: A Data Envelopment Analysis Approach," Energy & Environment, , vol. 33(6), pages 1160-1180, September.
  • Handle: RePEc:sae:engenv:v:33:y:2022:i:6:p:1160-1180
    DOI: 10.1177/0958305X211065424
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X211065424
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0958305X211065424?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
    ---><---

    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:sae:engenv:v:33:y:2022:i:6:p:1160-1180. 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: SAGE Publications (email available below). General contact details of provider: .

    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.