基于2003—2017年我国省际面板数据，采用空间杜宾模型探究我国农村多维贫困（收入、教育与医疗贫困）的空间集聚特征以及农村金融减贫的空间效应。结果表明：三种贫困均存在显著的空间正向关联，表明我国贫困表现为空间集聚的格局；农村金融发展对收入与教育贫困具有显著的抑制效果，但对降低医疗贫困并未起到关键性的作用；中、西部地区的农村金融发展对三种贫困均有显著的抑制作用，且均存在显著的空间关联，而东部地区则不具有显著的空间关联；农村金融发展还通过空间溢出效应对邻近省份发挥间接减贫作用，这为进一步解决贫困的集聚效应提供了新的思路。

Based on the inter provincial panel data of China from 2003 to 2017, this paper uses the spatial Doberman model to explore the spatial agglomeration characteristics of multi-dimensional poverty (income, education and medical poverty) and the spatial effect of rural financial poverty reduction. The results show that there is a significant positive spatial correlation among the three kinds of poverty, which shows that poverty in China is a pattern of spatial agglomeration; rural financial development has a significant inhibitory effect on income and education poverty, but does not play a key role in reducing medical poverty; rural financial development in central and western regions has a significant inhibitory effect on the three kinds of poverty, and there is a significant spatial correlation. But in the eastern part of China, interactive pattern of regional space does not exist. Rural finance development influences the poverty reduction in neighboring provinces by spillover effect, which provides the new idea for tackling the root causes of poverty by accumulative effect.

F832.35