关键词: 金融包容,S基尼系数,空间面板数据模型,面板分位数模型

Abstract: Based on the date of 87 counties in Hunan Province during 2008-2012, this paper constructs a spatial econometric model to study the influence of the level of financial inclusion in geographic units at county scale on the per capita income at county scale. The result indicates that to improve the level of financial inclusion in geographic units at county scale can help to improve the per capita income in the geographic units at county scale. To improve the level of financial inclusion can both directly improve the income level and indirectly improve the income level through improving the level of economic development. The international experiences show that to improve the level of financial inclusion is in favour of the economic development and narrowing the income gap between regions. With a panel quantile model, this study quantifies the relationship between financial inclusion level and the “relative income difference”. The results show that to improve the level of financial inclusion can help to narrow the “relative income difference”, the effect is more obvious for the geographic units of lower income counties. Hence, to improve the level of financial inclusion in geographic units at county scale, especially for the lower income counties, is of great importance in increasing the resident income and narrowing the income gap between geographic units.

Key words: financial inclusion; S Gini coefficient; spatial panel data model; panel quantile model