摘要
Sources of renewable energy have received wide attention in the literature because of serious threats to the environment. However, some renewable resources, including biomass energy role is debatable in the energy economics literature. This empirical work focuses to analyze the role of biomass energy in carbon dioxide (CO2) emissions using the framework of the environmental Kuznets curve (EKC) in Pakistan over the period from 1980 to 2015. The bound testing approach suggests there is cointegration among study variables. The study uses an auto-regressive distributed lag model (ARDL) with a structural break in the series. To summarize the findings of the study, it can be inferred that biomass energy increase CO2 emissions. In addition, biomass energy helps to form a U-shaped relationship between income and CO2 emissions that support the EKC hypothesis. Also, the feedback hypothesis is found between biomass energy and CO2 emissions. The findings would guide policymaker with practical guidelines to formulate policies to utilize a high amount of biomass energy in a sustainable manner.
| 源语言 | 英语 |
|---|---|
| 页(从-至) | 21598-21608 |
| 页数 | 11 |
| 期刊 | Environmental Science and Pollution Research |
| 卷 | 26 |
| 期 | 21 |
| DOI | |
| 出版状态 | 已出版 - 1 7月 2019 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 7 经济适用的清洁能源
学术指纹
探究 'How to bend down the environmental Kuznets curve: the significance of biomass energy' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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