Green Economy Evaluation of Commercial Banks Based on Data Mining and Game Theory Combination of Optimal Weights

Abstract

With the introduction of the "double carbon" target, China's economy will be transformed into a low-carbon one. Commercial banks, as the most influential, numerous, and extensive financial institutions in the financial market, play a massive role in realizing this goal through their green financial construction. This paper constructs a green finance evaluation system based on data mining and game theory combination to optimize weights by selecting green economy index data of eight commercial banks between 2016 and 2020. It constructs a weighted standardized decision matrix for green economy evaluation through the TOPSIS evaluation model. It makes an objective, scientific, and fair, comprehensive evaluation score on the construction of green finance for commercial banks. Measuring the current status of green finance development is of great significance.