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Evaluation index system for carbon information disclosure quality in China's electric power sector based on a mutual information and back propagation neural network model.
- Source :
-
Utilities Policy . Aug2024, Vol. 89, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- This paper employs the Mutual Information (MI) and Back Propagation (BP) neural network model to screen the preliminarily constructed evaluation index system for carbon information disclosure (CID) quality of public companies in China's electric power sector (EPS), which is subsequently incorporated into the fuzzy comprehensive evaluation (FCE) method for evaluation application. The results show that (1) after screening, 19 out of the 31 preliminarily constructed indicators constitute an optimal index set, and (2) the evaluation application of the screened index system validates the feasibility and applicability of the index system. Simultaneously, the evaluation results reveal a generally low CID quality in the EPS. • Constructed an evaluation index system of carbon information disclosure (CID) quality for electric power sector (EPS). • The MI-BP model makes the construction of the index system rigorous and reasonable. • Conducted further screening based on the preliminary design of the index system. • The index system exhibits strong pertinence, high correlation and low redundancy. • The evaluation results reveal a generally low CID quality in the EPS. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09571787
- Volume :
- 89
- Database :
- Academic Search Index
- Journal :
- Utilities Policy
- Publication Type :
- Academic Journal
- Accession number :
- 177865089
- Full Text :
- https://doi.org/10.1016/j.jup.2024.101781