Relationship of Renewable and Non-Renewable Energy Utilization with CO2 Emission of Bangladesh
نویسندگان
چکیده
This paper attempts to find out the relationship of renewable and non-renewable energy utilization with CO2 emission in Bangladesh. The analysis is done using Autoregressive Distributed Lag (ARDL), Dynamic Ordinary Least Squares (DOLS), Fully Modified OLS (FMOLS) Canonical Cointegrating Regression (CCR) techniques observe robustness findings. Results postulate that GDP has statistically significant positive association whereas, negatively associated. From all estimation techniques, it found 1% augment will boost by on an average more than 0.75%. Moreover, Toda -Yamamoto (TY) vector autoregression impulse response procedure have been employed findings confirm causing but not emission. adds value present energy-emission study a way Bangladesh context there are paucity studies concentrate effect both exists no multiple view get robust Another contribution dynamic effects function also complement ARDL, DOLS, FMOLS CCR As responsive methodology used, therefore, for results, employed. recommends increasing share play critical role reduce consequently global warming.
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ژورنال
عنوان ژورنال: Energy economics letters
سال: 2021
ISSN: ['2308-2925']
DOI: https://doi.org/10.18488/journal.82.2021.81.49.59