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Evaluation of the Social Effects of Enterprise Carbon Accounts Based on Variable Weight CFPR Fuzzy Vikor

Bibliographic Data

ID15513203
AuthorsXiangyi Lin (0009-0006-5528-6562, Quzhou University, corresponding author), Hongyun Luo (0000-0003-3967-6502, Quzhou University), Yinghuan Lian (0000-0003-3280-3433, Northeast Petroleum University), Yifei Jiang (0000-0003-3812-3228, Beijing Forestry University, corresponding author)
Year2023
Volume20
Issue4
Pages3704-3704
Publication date2023-02-19
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20043704
PMID36834404
OpenAlexW4321374176
LanguageEN
References cited20

The carbon account is a digital path for an enterprise to achieve low-carbon transformation and high-quality sustainable development under the 'dual carbon' strategy. The carbon account has a good social effect while generating economic benefits. An evaluation index system of the social effects of enterprise carbon accounts has been established, including the concepts of energy conservation and carbon reduction, contributions, technological innovation, and customer trust. In view of the difficulty of quantifying the evaluation indicators of the social effects of enterprise carbon accounts and the requirement of effect equalization, a variable-weight CFPR fuzzy VIKOR evaluation model was constructed. Compared with the traditional fuzzy VIKOR model, the variable-weight CFPR fuzzy VIKOR model can solve the problem of quantifying indicators and realize the balance between indicators. This method can better compare and analyze the social effects of each enterprise's carbon accounts and provides a basis for overall carbon account construction and digging improvement space

Algorithm · Carbon fibers · Fuzzy logic · Statistics · Variable (mathematics · Computer Science · Energy, Environment, Economic Growth · Mathematics · Psychology · Sustainable Supply Chain Management · Artificial Intelligence

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