Abstract
The energy sector has become the largest contributor to greenhouse gas (GHG) emissions. Among these GHG emissions, most threatening is CO 2 emission which comes from the consumption of fossil fuels. This empirical work analyzes the roles of renewable energy consumption and non-renewable energy consumption in CO 2 emissions in Pakistan. The empirical evidence is based on an auto-regressive distributive lag (ARDL) model of data from 1970 to 2016. The disaggregate analysis reveals that renewable energy consumption has an insignificant impact on CO 2 emission in Pakistan and that, in the non-renewable energy model, natural gas and coal are the main contributors to the level of pollution in Pakistan. Economic growth positively contributes to CO 2 emission in the renewable energy model but not in the non-renewable energy model. Policies that emphasize the contribution of renewable energy to economic growth and that add more clean energy into the energy mix are suggested.
| Original language | English |
|---|---|
| Pages (from-to) | 31616-31629 |
| Number of pages | 14 |
| Journal | Environmental Science and Pollution Research |
| Volume | 25 |
| Issue number | 31 |
| DOIs | |
| Publication status | Published - 1 Nov 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
Keywords
- ARDL
- Disaggregate analysis
- Economic growth
- Non-renewable energy
- Renewable energy
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