School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Modern Business Research Center, Zhejiang Gongshang University, Hangzhou 310018, China.
Int J Environ Res Public Health. 2022 Jun 24;19(13):7739. doi: 10.3390/ijerph19137739.
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.
监督企业的环保行为是实现“碳峰值”和“碳中和”的关键策略。本研究创新性地提出了精准监管的概念，旨在针对不同类型的企业实施差异化的监管措施，实现企业环保的精准监管方法，与传统监管模式不同。首先，本文在基准算法 MEBF 的基础上提出了一种新颖的 MEBF+方法，并在纳入模型偏差后得到了 MEBF++。其次，基于中国上市公司环境监管和认证数据集，使用多个评价指标验证了所提出方法的准确性和稳健性。最后，基于实验结果的分析，在低碳背景下提出了狭义和广义两种精准监管概念。结果表明，与基准方法相比，所提出方法的准确性有了很大提高。此外，本文提出的精准监管有助于减少人力和资源的消耗，并团结公众监督企业的环保行为。
