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Published on: December 9, 2012
Precise Supervision of Enterprise Environmental Protection Behavior Based on Boolean Matrix Factorization under Low
Wei Zhou1,2, Feipeng Guo1,2
1School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
This study introduces precise supervision for enterprise environmental protection, improving accuracy over traditional methods. This approach supports carbon neutrality goals by optimizing resource use and public engagement in monitoring corporate environmental behavior.
Area of Science:
- Environmental Science and Policy
- Environmental Economics
- Data Science and Analytics
Background:
- Effective supervision of corporate environmental protection behavior is crucial for achieving national carbon peaking and carbon neutrality targets.
- Traditional supervision methods often lack differentiation, leading to inefficiencies in resource allocation and monitoring.
- The need for innovative, data-driven approaches to environmental governance is paramount in the context of sustainable development.
Purpose of the Study:
- To propose and validate a novel concept of 'precise supervision' for enterprise environmental protection.
- To develop an improved methodology (MEBF++) for assessing and supervising corporate environmental performance.
- To establish a framework for differentiated environmental supervision tailored to various enterprise types.
Main Methods:
- Development of a novel MEBF+ method, enhanced to MEBF++ by incorporating model bias, building upon the benchmark MEBF algorithm.
- Empirical validation using a dataset of environmental supervision and certification records from listed Chinese companies.
- Performance evaluation through multiple accuracy and robustness indicators compared to the benchmark method.
Main Results:
- The proposed MEBF++ method demonstrated significant improvements in accuracy and robustness compared to the benchmark MEBF algorithm.
- Experimental analysis confirmed the effectiveness of the precise supervision approach in evaluating enterprise environmental protection behavior.
- The study identified two distinct concepts of precise supervision (narrow and broad) applicable to the low-carbon development background.
Conclusions:
- Precise supervision offers a more effective and efficient alternative to traditional environmental monitoring of enterprises.
- The developed methodology provides a robust tool for implementing differentiated supervision strategies.
- This approach can lead to reduced consumption of manpower and resources, while also fostering public participation in corporate environmental oversight.
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