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In this paper, we have explored the relationship between three key indicators of the health of any economy, namely, human development index (HDI), foreign direct investment (FDI) and gross domestic product (GDP). Three alternative models were assessed in the study to investigate the dynamics of the cause and effect relationship between the three variables. Thirty countries were selected for the purpose of the study on the basis of a positive change in their HDI ranks from 2012 to 2017. Further, the countries were categorized into countries with very high, high, medium and low HDI ranks. Annual FDI, HDI and GDP data for the period from 1990 through 2016 were used to investigate the nature of the relationship among the selected variables. The proposed models testing the outcome-explanatory variable relationship between FDI, HDI, and GDP were tested using cointegrating regression with panel dynamic least square model (DOLS) and panel fully modified least square model (FMOLS). The findings of the study show that HDI and FDI are the statistically significant variables that positively impact the changes in GDP. Further, the impact of HDI is of larger magnitude than FDI. However, GDP and FDI were not found to exert any statistically significant impact on HDI for the period under the study. Similarly, HDI and GDP were also not found to exert any significant impact on FDI. Before applying DOLS and FMOLS, stationarity was confirmed using five panel unit root tests, namely, LLC, IPS, Fisher-type tests using ADF and PP and Hadri. Thereafter, Pedroni residual cointegration test and Kao residual cointegration test were used to confirm the existence of cointegration among the variables, which is a necessary condition for applying DOLS and FMOLS. The study has key implications for the policymakers in search of models and plans to boost GDPs of their respective countries. Since HDI exerts more than proportionate positive impact on GDP, governments can focus on improving the three components of HDI, namely, life expectancy, adult literacy and education enrolment to promote economic growth. Further, since FDI exerts a positive impact on GDP, policymakers can strategize to make more friendly policies to attract foreign investors. [ABSTRACT FROM AUTHOR]

The relationship between economic growth and energy is a widely researched topic in the world of economics and there are quite many studies on the relationship between energy and sectoral output; however, to the best of our knowledge there have been none in the context of Bangladesh. This paper examines the causal relationship between energy consumption and output growth of Bangladesh both at aggregate and sectoral level using the annual data from 1980 to 2014. For the purpose of our study we have used the GDP at constant local currency as an indicator of economic growth while energy use has been used as a proxy for energy consumption. These variables have been taken from World Development Indicator (WDI) 2015 published by World Bank and EViews 7.0 has been used to run the tests in this study. To test our data for stationarity, we have run two tests which are the Augmented Dickey-Fuller (ADF) test and the Phillips-Perron (PP) test. Then to test for cointegration and causality between the variables, we used the Johansen cointegration method and the Granger Causality tests respectively. We find the variables to be stationary after running both the Augmented Dickey-Fuller (ADF) test and Phillips-Perron (PP) test. Using the Johansen cointegration method, we find that all the variables are cointegrated. Granger Causality tests reveal that at the aggregate level there is unidirectional causality running from GDP to energy consumption. Similarly, at the sectoral levels, there is unidirectional causality running from agricultural, industrial and services sector output to energy consumption. However, Vector Error Correction Model (VECM) test observes no causality between energy consumption and output at the macro level and at the sectoral level in the short run. Thus we can conclude that GDP or sectoral output is not energy dependent in Bangladesh and our findings are also consistent with the conservation hypothesis. Moreover, our short run results are consistent with the neutrality hypothesis. This further strengthens our conclusion that the economic growth of Bangladesh is not energy dependent. These results have important implications for policy as energy conservation policies can be applied in Bangladesh without hurting growth. Furthermore, it is evident that implementing subsidies in the energy sector will not contribute in achieving growth and cost reflective pricing policy would be more effective in Bangladesh. Nevertheless, the government of Bangladesh should invest in efficient energy production and utilize the various energy sources available to Bangladesh. [ABSTRACT FROM AUTHOR]

Despite plausible theoretical grounds for presuming a positive relationship between foreign direct investment inflows (FDI) and economic growth, existing empirical evidence on this nexus is inconclusive. In an effort to add to the empirical literature, this paper estimates the relationship between FDI and the rate of growth of GDP using a stochastic frontier model and employing panel data covering 45 countries over the period 1997 to 2004. We find that FDI inflows exert a positive impact on economic growth only in the presence of a highly skilled labour; corruption has a negative impact on economic growth; and trade openness increases economic growth by means of efficiency gains. [ABSTRACT FROM AUTHOR]