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

Zhibin Liu and Jiayin Wu

Utilities Policy, 2024, vol. 89, issue C

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.

Keywords: Carbon information disclosure quality; MI-BP model; Indicator screening (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:89:y:2024:i:c:s0957178724000742

DOI: 10.1016/j.jup.2024.101781

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