Abstract
Based on the data from 30 provinces in China from 2011 to 2021, the article measures the green finance index through the entropy value method and introduces the synergistic emission intensity to measure the synergistic effect of pollution reduction and carbon reduction. Empirically examines the pollution control and emission reduction effects of green finance through the spatial Durbin model and analyzes the results .The study shows that: The discrete degree of development of national green finance level increases and the development tends to be balanced, while the synergistic emission intensity tends to be more concentrated in space. There is an inverted "U" curve relationship between green finance and synergistic emission intensity in terms of direct effect and spatial spillover effect .Heterogeneity analysis shows that green finance has a more significant impact on synergistic emission intensity in central and western China. The results of the study are of great significance to the development of green finance and the realization of low-carbon development.