Correlation Analysis between Regional Online Environmental Information Attention and Local Scale Green Finance

Abstract

In today's world, with the advancement of technology, the living standard of mankind has ushered in a huge leap. However, problems such as environmental pollution are also increasingly apparent, which has attracted great attention from China and other countries. In this context, the research on green finance is particularly important. Combining with the situation that the public expresses their views widely through the Internet in the network era, this paper further explores the correlation between the attention of environmental-related information in the regional network and the local scale of green finance, and establishes the relevant specific model. This paper mainly studies the correlation between the attention of environmental-related information in the regional network and the scale of local scale of green finance through the Spearman correlation coefficient, and explores the trend of the correlation over time. This paper found that there is a significant positive correlation between the two, and this correlation has an increasing trend year by year. Finally, this paper uses a linear regression model and a BP neural network to complete the related modeling. This study shows that the formulation of green finance related policies can reasonably guide people to join in the construction of green finance. Furthermore, the model of this study can also be used to quantitatively predict the impact of residents' participation on the development of green finance to a certain extent, so as to promote the progress of green finance.