查看文章

The paper deals with finance-growth relationship across Indian states over 1980–2011 in panel cointegration and causality framework. We apply Engle–Granger two-step procedure for cointegration test in panel setting which takes care of cross-sectional dependence and heterogeneity across states. For panel Granger causality analysis, we employ Dumitrescu and Hurlin (Econ Model 29:1450–1460, 2012) method and apply bootstrapping to account for cross-sectional dependence. We find robust evidence of cointegration between per capita income and credit per capita. Using panel FMOLS, we find that 1 % change in credit per capita results in 0.14 % change in per capita income. Panel Granger causality test reveals that there is bi-directional causality (feedback effects) in the absence of cross-sectional dependence. However, with cross-sectional dependence, we find evidence in favour of supply leading …