Using cross-sectional data from 853 counties in 11 western China provinces, we employ quantile regression （QR） and instrumental variable quantile regression （IVQR） to investigate the hierarchical effect of fiscal ...Using cross-sectional data from 853 counties in 11 western China provinces, we employ quantile regression （QR） and instrumental variable quantile regression （IVQR） to investigate the hierarchical effect of fiscal expenditure and agricultural loan on rural residents＇ income. We find： （1） the relationship between agricultural loan and income is consistent with the inverted U-shape （Kuznets curve）; （2） the coefficient of quantile regression for rural residents＇ loan gradually decreases; particularly, the impact on the high-income group is insignificant （at 0.90 quantile）; （3） for 0.10 and 0.50 quantile, the increase of fiscal expenditure would hinder rather than promote income growth; （4） the restraining effect becomes more pronounced for the lower groups; in contrast, there is a significant positive relationship between income and fiscal expenditure for 0.90 quantile＇s income group. Implications for government policy formulation are propounded accordingly.展开更多
文摘Using cross-sectional data from 853 counties in 11 western China provinces, we employ quantile regression （QR） and instrumental variable quantile regression （IVQR） to investigate the hierarchical effect of fiscal expenditure and agricultural loan on rural residents＇ income. We find： （1） the relationship between agricultural loan and income is consistent with the inverted U-shape （Kuznets curve）; （2） the coefficient of quantile regression for rural residents＇ loan gradually decreases; particularly, the impact on the high-income group is insignificant （at 0.90 quantile）; （3） for 0.10 and 0.50 quantile, the increase of fiscal expenditure would hinder rather than promote income growth; （4） the restraining effect becomes more pronounced for the lower groups; in contrast, there is a significant positive relationship between income and fiscal expenditure for 0.90 quantile＇s income group. Implications for government policy formulation are propounded accordingly.
