globalchange  > 气候变化与战略
DOI: 10.1016/j.jclepro.2019.119533
论文题名:
Linking biomass energy and CO2 emissions in China using dynamic Autoregressive-Distributed Lag simulations
作者: Danish; Ulucak R.
刊名: Journal of Cleaner Production
ISSN: 9596526
出版年: 2020
卷: 250
语种: 英语
英文关键词: Biomass energy ; China ; CO2 emissions ; Dynamic ARDL simulation ; Real income
Scopus关键词: Carbon dioxide ; Economic analysis ; Energy utilization ; Fossil fuels ; Global warming ; Pollution ; Public policy ; Sustainable development ; Alternate energy sources ; Alternative to fossil fuels ; Bio-mass energy ; China ; CO2 emissions ; Environmental pollutions ; Policy implications ; Real income ; Biomass
英文摘要: Can biomass energy mitigate CO2 emissions in China? Given increasing environmental pollution and global warming, countries are switching to alternate energy sources that might help pollution reduction and mitigate climate change. In this scenario, biomass energy has received the attention of academic scholars and policy analyst alike. What role biomass energy can play in environmental pollution remains uncertain, so further investigation is necessary. To this end, this study explores the relationships of biomass energy and real income with CO2 emissions for China. Empirical evidence is based on the use of Jordan and Philips’ (2018) econometric tool, dynamic Autoregressive-Distributed Lag (DARDL) simulations, on data from 1982 to 2017. The results reveal a negative relationship between China's biomass energy consumption and CO2 emissions, suggesting that biomass energy consumption is helpful in reducing pollution. Likewise, biomass energy production reduces carbon emissions and might be the best alternative to fossil fuels. Useful policy implications can be drawn related to biomass energy, especially in attaining sustainable development goals. © 2019 Elsevier Ltd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158649
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: School of Economics and Trade, Guangdong University of Foreign Studies, Guangzhou, 510006, China; Erciyes University, Faculty of Economics and Administrative Sciences, Department of Economics, Kayseri, Turkey

Recommended Citation:
Danish,Ulucak R.. Linking biomass energy and CO2 emissions in China using dynamic Autoregressive-Distributed Lag simulations[J]. Journal of Cleaner Production,2020-01-01,250
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Danish]'s Articles
[Ulucak R.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Danish]'s Articles
[Ulucak R.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Danish]‘s Articles
[Ulucak R.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.