Evaluation method of enterprise carbon asset value based on analytic hierarchy process and grey correlation method in the context of carbon neutrality

Jiawen Liu, Xiaodong Lan and Chungeng He

International Journal of Energy Technology and Policy, 2024, vol. 19, issue 1/2, 154-170

Abstract: In the context of carbon neutrality, there is a problem of low sensitivity coefficient of carbon asset value in the evaluation of corporate carbon asset value. To this end, a method for evaluating the value of carbon assets in enterprises using the analytic hierarchy process and grey correlation method in the context of carbon neutrality is proposed. Firstly, the construction of an indicator system based on the different forms of corporate carbon assets is completed. Then, through regression calculation of value evaluation indicators, the selection of value evaluation indicators is achieved. Finally, through the analytic hierarchy process - grey correlation method, a carbon asset value evaluation model for enterprises is constructed to achieve value evaluation research. The experimental results indicate that the sensitivity coefficient of using the proposed method to evaluate the value of carbon assets is high, and the evaluation effect is good.

Keywords: carbon neutrality background; analytic hierarchy process; AHP; grey correlation method; regression calculation; information gain; indicator weight; factor set. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=138542 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetpo:v:19:y:2024:i:1/2:p:154-170

Access Statistics for this article

More articles in International Journal of Energy Technology and Policy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().