Ecological Protection and Environmental Governance in the Era of Big Data Corporate Finance Political Performance Studies

IF 1.2 Q4 BUSINESS
Xiaochuan Cao, Yuhu Luo
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Abstract

The theory of sustainable development based on ecological protection and environmental governance places greater emphasis on the coordination between ecological civilization and economic construction. In response to the contradiction between economic development and ecological protection and environmental governance. We combine big data processing and big data mining techniques to conduct an in-depth study of ecological protection and environmental governance. In addition, we focus on exploring the relationship between relevant corporate financial performance and ecological protection and environmental governance. The results show that our proposed ecological conservation and environmental governance model has a maximum error of 2.37% and 1.27% in predicting ecological change and environmental governance respectively. The improvement in ecological conservation prediction is 63.72% and 65.93% respectively. In environmental governance, the improvement is 11.6% and 14.47%. The corresponding corporate earnings can be further increased by up to 37.81% and 41.36%. This shows that the adjustment of corporate finance can effectively solve the fluctuation of earnings caused by ecological protection and environmental management, and also promote the steady growth of corporate earnings.
大数据时代的生态保护与环境治理——企业财务政治绩效研究
以生态保护和环境治理为基础的可持续发展理论更加强调生态文明与经济建设的协调。应对经济发展与生态保护和环境治理的矛盾。结合大数据处理和大数据挖掘技术,深入开展生态保护与环境治理研究。此外,我们还重点探讨了相关公司财务绩效与生态保护和环境治理之间的关系。结果表明,本文提出的生态保护与环境治理模型在预测生态变化和环境治理方面的最大误差分别为2.37%和1.27%。生态涵养预测正确率分别为63.72%和65.93%。在环境治理方面,分别提高11.6%和14.47%。相应的企业收益可进一步提高,最高可达37.81%和41.36%。这说明企业财务的调整可以有效解决生态保护和环境治理带来的收益波动,也促进了企业收益的稳定增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
3C Empresa
3C Empresa BUSINESS-
自引率
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7
审稿时长
12 weeks
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