Finance is the core of economy, and the sustained and of rural economy needs the sustained support and promotion of rural finance, which has played a vital role in the growth of rural economy in China. In order to study the correlation between rural financial development and rural economic growth, this article combines VAR model and artificial neural network (ANN) technology to build a prediction model of rural financial development and economic growth. This model applies ANN to the assessment of financial ecosystem, predicts and evaluates financial risks, so as to build a good rural financial ecological environment. The simulation results show that, after many iterations, the accuracy of this method is obviously better than the comparative algorithm in the analysis of rural financial development and economic growth, with an accuracy rate of over 90% and a significant reduction in error. Therefore, the assessment model of rural financial ecosystem based on ANN is reasonable and feasible. Vigorously improve the rural financial system and introduce modern artificial intelligence algorithms to assist the construction of financial ecosystem, so as to make it develop well, quickly and stably, so as to continuously promote the construction of new socialist countryside and further reform and growth of rural economy.