Abstract
At present, research on inclusive finance issues at home and abroad has made considerable progress, but as China is currently facing epidemics and other geological disasters, the financial industry is facing huge challenges. As the transitional development of China’s electronic commerce has dealt a severe blow to China’s physical manufacturing industry, the people’s economy has been hit hard. The establishment of inclusive finance and its system has broadened the scope of traditional financial system services and has had a greater positive impact on disadvantaged groups and small and micro enterprises. This article uses data on inclusive finance, the development of rural financial institutions, and poverty alleviation of rural households in parts of China’s flood-affected areas shown by satellite images in 2020 as a sample, and builds the level of inclusive finance development from two aspects: the depth and breadth, the measurement index system. On this basis, a model for inclusive finance promotion using satellite data combined with AI algorithms was designed, and then a static panel measurement model for rural household poverty, inclusive finance and rural financial institutions was constructed from the perspective of big data. According to two measurement models, it examines the effects of the development of different types of rural financial institutions on poverty alleviation and proposes the necessary conditions for achieving inclusive finance. The results of the study show that the growth rate of inclusive finance has increased by 19.8% in seven years. Therefore, although the financial demand of various cities is increasing year by year, the growth is still relatively slow. This is mainly caused by the imbalance of the supply side of inclusive finance, because as the financial demand of consumers continues to increase, the supply side cannot meet. The corresponding financial demand will inevitably lead to a decrease in demand growth rate.
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