Regional economic growth in India: convergence or divergence?

Purpose: This paper aims to examine the convergence in per-capita income (measured as per-capita net state domestic product) of regions in India during the period 1990–1991 to 2017–2018. Two separate analyses have also been done for the sub-periods, i.e., 1990–1991 to 2003–2004 and 2004–2005 to 2017–2018, to find out the effect of the second phase of economic liberalization in India. Design/methodology/approach: In a panel data study, the estimation of absolute and conditional beta (β)-convergence and sigma (σ)-convergence across 17 Indian regions have been done. To measure the dispersion of per-capita income across the regions in India, the standard deviation of logs, Gini coefficient, Mehran measure, Piesch measure, Kakwani measure and Theil index have been estimated. In addition to this, these indices have been regressed over time. Findings: This study finds the presence of absolute and conditional β-convergence; the regions with low initial per-capita income have grown faster than the regions with high initial per-capita income. Further, this study finds that foreign direct investment (FDI) inflow and the availability of power enhance growth across regions. However, this study finds the presence of σ-divergence, which indicates that the economic inequality among the regions in India has widened over the periods, calling for policy interventions to promote growth in the backward regions through the promotion of FDI inflow and the availability of power. Originality/value: This study highlights the rising economic inequality among the regions in India by analyzing the latest available data through appropriate econometric techniques. [ABSTRACT FROM AUTHOR]