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| Abstract |
Energy shortages are global concerns. This issue can be addressed and correlated with economic growth and environmental degradation. This study employs annual available time series data to model the n...exus among electricity generation (derived from oil, gas, and coal sources), consumption of fossil fuel energy, gross domestic product (GDP) per capita, and carbon dioxide (CO_2) emission (from solid fossil fuel) in Bangladesh. The statistical Autoregressive Distributed Lag (ARDL) test reveals the long and short-run equilibrium relationship between variables. It is found that electricity production and GDP per capita have a significant and positive impact on CO_2 emissions, i.e., economic activity and energy consumption has a substantial influence on the release of CO_2 into the atmosphere. Besides, static and dynamic forecasting techniques are incorporated to anticipate future values based on past data. It is observed that static forecasting is superior to dynamic forecasting.show more
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