Corruption – Poverty Nexus: Evidence from Panel ARDL Approach for SAARC Countries

Abstract

The article intends to investigate the relationship between corruption and poverty based on the panel data of SAARC countries over the period 1996–2019. We employed the panel ARDL of pooled mean group (PMG) technique to analyze the data and focus on capability poverty, using the human development index (HDI) as a proxy for poverty. The empirical findings of PMG of the ARDL model suggest that an increase in corruption score (COC) (i.e. decrease in corruption) and increase in women’s labor force participation rate (WLFPR) seem to have a significant impact either in eradicating poverty or increasing social welfare in the long run as well as in the short run. A random effect (RE) model also identified a significant positive relationship between corruption score and HDI, and WLFPR and HDI. A Dumitrescu-Hurlin pairwise panel Granger non-causality test detected a bilateral causality relationship between COC and HDI, and WLFPR and HDI, while unilateral causality ran from WLFPR to COC. The article contributes to examining the dynamics between corruption and poverty from the governance aspect, taking South Asia as a case study.