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The green development of carbon finance contributes to the rapid realization of the "double carbon strategy" goal. This paper uses the analytic hierarchy process-coefficient of variation (AHP-CVM) coupling method to measure the level of carbon finance development in China’s provinces from 2018 to 2020, and uses the artificial neural network-radial basis function (ANN-RBF) method to analyze the influence of different factors on the level of carbon finance development. The results show that the development of regional carbon finance in China is affected by the new coronavirus. However, the overall trend is still rising, and there are differences in the development level of carbon finance between regions. From the perspective of influencing factors, carbon loan intensity, the proportion of added value of financial industry, the proportion of scientific research funds and the contribution rate of scientific and technological progress contribute greatly to the development of carbon finance, among which the intensity of carbon loans has the most prominent influence. |
