An empirical Analysis of Financial Ecological Environment Evaluation of Guangzhou and Shenzhen——Based on Entropy Weight Method and K-means Clustering Method

Abstract

The sound development of financial ecology is conducive to the development and stability of the national economy. As special economic zones in China, the development of financial ecology in Guangzhou and Shenzhen is of reference significance. Based on the local practice, this paper uses the entropy weight method and K-means clustering method to establish an evaluation system from four aspects including economic environment, financial environment, government and social security, and scientific and technological talents to evaluate the financial ecological environment of Guangzhou and Shenzhen. This paper not only compares the gap in financial ecology between the two cities horizontally, but analyzes the ecological gap between Guangzhou and Shenzhen from the perspective of longitudinal time series. Based on the empirical results, this paper provides policy suggestions on cultivating talents, strengthening supervision and strengthening cooperation for the sound development of regional financial ecology.