A Logarithmic Mean Divisia Index Decomposition of CO_2 Emissions from Energy Use in Romania
arxiv(2024)
摘要
Carbon emissions have become a specific alarming indicators and intricate
challenges that lead an extended argue about climate change. The growing trend
in the utilization of fossil fuels for the economic progress and simultaneously
reducing the carbon quantity has turn into a substantial and global challenge.
The aim of this paper is to examine the driving factors of CO_2 emissions
from energy sector in Romania during the period 2008-2022 emissions using the
log mean Divisia index (LMDI) method and takes into account five items: CO_2
emissions, primary energy resources, energy consumption, gross domestic product
and population, the driving forces of CO_2 emissions, based on which it was
calculated the contribution of carbon intensity, energy mixes, generating
efficiency, economy, and population. The results indicate that generating
efficiency effect -90968.57 is the largest inhibiting index while economic
effect is the largest positive index 69084.04 having the role of increasing
CO_2 emissions.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要