Research
Causal Relationship between Education, Carbon Dioxide ( ) Emission and Economic Growth in Bangladesh
The purpose of this study is to test the relationship among education, environmental pollution and economic growth in Bangladesh. Perhaps this is the first research done using time series data for 37 years from 1974-2010. Vector Error Correction Mechanism (VECM) techniques is applied to establish the long run and short run relationships among the variables in the model. Using Johansen cointegration method, the empirical findings indicate that there exists long run cointegration among the variables. Unit root test were performed to test the statistical properties of the data used in variables. Results show strong positive relationship among environmental pollution, education expenditure and economic growth. The results of this study will help the environmental authorities to understand the effects of economic growth for degrading the environmental quality and manage the environmental pollution by creating awareness through education.
Carbon Emission and Economic Growth of SAARC Countries: A Vector Autoregressive (VAR) Analysis
This paper examines the causal relationship between carbon ( 2 CO ) emissions and economic growth in seven SAARC countries using time series data for the period from 1972-2012. We applied Vector Error Correction Modeling (VECM) approach. We have also applied Augmented DickeyFuller (ADF) and Phillips-Perron (P.P) test and Johansen’s cointegration approach to check time series properties and cointegration relationship of the variables. Results exhibit a cointegration relationship between environmental pollution and economic growth. Results also show that the estimated coefficients of 2 CO emissions have positive and significant impacts on GDP in the long run. These results will help the environmental authorities to understand the effects of economic growth on environment for degradation and manage the environmental problems using macroeconomic methods.
