Has Bangladesh's Economic Progress Impacted by Carbon Emissions and Human Capital in the Long Run? An Econometric Auto-Regressive Distributed Lag (ARDL) Approach

The aim of this study is to investigate the outcome of human capital (proxied by government expenditure on education (GEE) and life expectancy (LE), carbon emission (CO2), domestic credit growth (DCG), labor force participation rate (LFPR) and remittances (RMT) on Bangladesh's economic progress as indicated by GDP per person. From 1990 to 2018, data for the analysis were used from the world development indicator. ARDL (Auto -regressive distributed lag model is used for the analysis and the cointegration test(F-bound test ) reveals that the value of F-statistics (32.83) is greater than I(1) bound(4.26) statistically 1 % significant level that confirms a sustained relationship throughout time between the variables being studied. Empirical results reveal that DCR, LE and RMT have significant and positive long-term effect on GDPPC. Conversely, carbon emission, GEE, LFPR and GCF have a long-term negative effects.