Climate Change Data Portal
| DOI | 10.1016/j.esr.2024.101304 |
| Electricity generation and CO2 emissions in China using index decomposition and decoupling approach | |
| 发表日期 | 2024 |
| ISSN | 2211-467X |
| EISSN | 2211-4688 |
| 起始页码 | 51 |
| 卷号 | 51 |
| 英文摘要 | Over the past three decades, energy and economic growth have been joined by enormous environmental pollution and growing global concerns. It is necessary to check the factors' effects impacting CO2 emissions and decouple CO2 from economic growth for the biggest emitter China. This study uses the logarithmic mean Divisia index extended by introducing electricity substitution factors (i.e., activity, population, electricity intensity, electricity overall, generation structure, energy efficiency, and fuel emission factor effects) and is then combined with Tapio's decoupling method to analyze the CO2 emission drivers, states and sectorial emissions for the years 1991-2020. The findings show that: (1) population and activity effects are the main driving factors in increasing CO2 emissions by adding trade and electricity generation structure effects. (2) Decoupling states presented the two decoupling states through electricity CO2 emissions and economic growth effects, showing that expansive negative decoupling is dominant. This shows that both factors show an increasing return to scale. (3) Individual factors and sectorial decoupling indexes show long -run variations and relationships between them, which means that industrial structure adjustment will help mitigate CO2 emissions and sustain economic development. Finally, based on empirical findings, the results suggest more ambitious targets for emerging low -carbon technologies that could help the rapid decarbonization of China's electricity sector. |
| 英文关键词 | Electricity generation; CO2 emissions; Tapio's decoupling; LMDI; China |
| 语种 | 英语 |
| WOS研究方向 | Energy & Fuels |
| WOS类目 | Energy & Fuels |
| WOS记录号 | WOS:001164997800001 |
| 来源期刊 | ENERGY STRATEGY REVIEWS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/296647 |
| 作者单位 | China University of Mining & Technology; Shandong Technology & Business University; Marche Polytechnic University |
| 推荐引用方式 GB/T 7714 | . Electricity generation and CO2 emissions in China using index decomposition and decoupling approach[J],2024,51. |
| APA | (2024).Electricity generation and CO2 emissions in China using index decomposition and decoupling approach.ENERGY STRATEGY REVIEWS,51. |
| MLA | "Electricity generation and CO2 emissions in China using index decomposition and decoupling approach".ENERGY STRATEGY REVIEWS 51(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
