基于互信息和反向传播神经网络模型的中国电力行业碳信息披露质量评价指标体系

IF 3.8 3区经济学 Q3 ENERGY & FUELS

Utilities Policy Pub Date : 2024-06-01 DOI:10.1016/j.jup.2024.101781

Zhibin Liu, Jiayin Wu

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引用次数: 0

摘要

本文采用互信息（MI）和反向传播（BP）神经网络模型对初步构建的中国电力行业（EPS）上市公司碳信息披露（CID）质量评价指标体系进行筛选，并将其纳入模糊综合评价（FCE）方法进行评价应用。结果表明：(1) 经过筛选，初步构建的 31 个指标中有 19 个指标构成了最优指标集；(2) 筛选出的指标体系的评价应用验证了指标体系的可行性和适用性。同时，评估结果表明 EPS 的 CID 质量普遍较低。

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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

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.

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来源期刊

Utilities Policy ENERGY & FUELS-ENVIRONMENTAL SCIENCES

CiteScore

6.80

自引率

10.00%

发文量

审稿时长

66 days

期刊介绍： Utilities Policy is deliberately international, interdisciplinary, and intersectoral. Articles address utility trends and issues in both developed and developing economies. Authors and reviewers come from various disciplines, including economics, political science, sociology, law, finance, accounting, management, and engineering. Areas of focus include the utility and network industries providing essential electricity, natural gas, water and wastewater, solid waste, communications, broadband, postal, and public transportation services. Utilities Policy invites submissions that apply various quantitative and qualitative methods. Contributions are welcome from both established and emerging scholars as well as accomplished practitioners. Interdisciplinary, comparative, and applied works are encouraged. Submissions to the journal should have a clear focus on governance, performance, and/or analysis of public utilities with an aim toward informing the policymaking process and providing recommendations as appropriate. Relevant topics and issues include but are not limited to industry structures and ownership, market design and dynamics, economic development, resource planning, system modeling, accounting and finance, infrastructure investment, supply and demand efficiency, strategic management and productivity, network operations and integration, supply chains, adaptation and flexibility, service-quality standards, benchmarking and metrics, benefit-cost analysis, behavior and incentives, pricing and demand response, economic and environmental regulation, regulatory performance and impact, restructuring and deregulation, and policy institutions.