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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.

Authors :
Liu, Zhibin
Wu, Jiayin
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