Adopting the super-efficient SBM model to measure the efficiency of China's rural financial market in 30 provinces and cities from 2017-2021, and while analysing its temporal changes, it uses Origin to explore the spatial changes in the efficiency of China's four major regions of the rural financial market, and Kernel Density Estimation to analyse the trend of the dynamic evolution of the efficiency of China's rural financial market, and finds that: China's rural The overall efficiency of China's rural financial market is low, with large fluctuations in provinces and cities; as of 2021, only five provinces and cities have fully efficient rural financial markets, accounting for 16.67%, and the proportion of less efficient cities is still large; from a regional perspective, the efficiency of China's rural financial market shows a pattern of "higher in the Northeast - medium in the Middle East - lower in the West", with the following pattern: "Higher in the Northeast - medium in the Middle East - lower in the West". From a regional perspective, the efficiency of China's rural financial market shows the spatial characteristics of "higher in the northeast - medium in the middle of the Middle East - lower in the west"; during the observation period, the efficiency of the rural financial market in each province and city has a certain degree of differentiation.

Qiang Fengjiao, Fang Min, Luo Wenchun. An evaluation of the spatio-temporal evolution of the efficiency of China's rural financial markets. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 10: 20-25. https://doi.org/10.25236/AJEE.2023.051003.

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