Since the reform and opening up, the rough economic development model has generated environmental problems while promoting rapid economic growth, facing severe tests of environment and energy. The emergence and development of fintech alleviates this financing dilemma by virtue of its technological advantages. In this paper, the measurement of FinTech-related variables is obtained by using advanced search tools to search and match specific keywords. Meanwhile, combining the life cycle evaluation method, carbon emission coefficient method and input-output method, the carbon emissions and regional gross domestic product of the subject region are used as the carbon emission intensity measure. The green supply chain finance data were normalized and made dimensionless to calculate the total evaluation value of green supply chain finance development level. Relevant variables are selected to construct the STIRPAT model, which quantitatively describes the model of the impact of financial and technological activities on carbon emissions. The Moran coefficient statistical spatial data is utilized to measure the spatial autocorrelation. The empirical analysis shows that the regression coefficient of fintech on carbon emissions is -0.7598 and significant at 1% confidence level, indicating that the development of fintech reduces carbon emissions and helps to realize the goal of green and sustainable development. Meanwhile, the regression coefficient of fintech on green supply chain finance is 2.1965, which is also significant at 1% level, and the development of fintech plays a significant positive influence in the process of enterprise green supply chain finance. Fintech plays a positive and active role in promoting green supply chain finance and carbon emission management.