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

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.