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Precise Supervision of Enterprise Environmental Protection Behavior Based on Boolean Matrix Factorization under Low Carbon Background

Bibliographic Data

ID15470577
AuthorsWei Zhou (0000-0002-0849-1524, Zhejiang Gongshang University), Feipeng Guo (0000-0003-1263-2067, Zhejiang Gongshang University, corresponding author)
Year2022
Volume19
Issue13
Pages7739-7739
Publication date2022-06-24
Peer ReviewedYes
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/ijerph19137739
PMID35805397
OpenAlexW4283523946
LanguageEN
References cited26

Supervising the environmental protection behavior of enterprises is a key strategy to achieve "carbon peaking and carbon neutrality". This research innovatively proposes the concept of precise supervision, aiming to implement differentiated supervision measures for different types of enterprises, and realize the precise supervision method of enterprise environmental protection, which is different from the traditional supervision mode. Firstly, this paper proposes a novel MEBF+ method based on the benchmark algorithm MEBF, and obtains MEBF++ after incorporating the model bias. Secondly, based on the dataset of environmental supervision and certification of listed Chinese companies, the accuracy and robustness of the proposed method are verified by using multiple evaluation indicators. Finally, based on the analysis of the experimental results, two precise supervision concepts, narrow and broad, are proposed under the low-carbon background. The results show that compared with the benchmark method, the accuracy of the proposed method has been improved to a large extent. In addition, the precise supervision proposed in this paper can help reduce the consumption of manpower and resources as well as unite the public to monitor the environmental protection behavior of enterprises

Benchmark (surveying · Business · Certification · Environmental economics · Risk analysis (engineering · Robustness (evolution · Computer Science · Energy, Environment, Economic Growth · Environmental Sustainability in Business · Sustainable Supply Chain Management

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Citation velocityhistorical
Highly citedNo

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