气候变化领域集成服务门户(CCPortal): The drivers of GHG emissions: A novel approach to estimate emissions using nonparametric analysis

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DOI	10.1016/j.gr.2023.10.004
	The drivers of GHG emissions: A novel approach to estimate emissions using nonparametric analysis
	Magazzino, Cosimo; Cerulli, Giovanni; Haouas, Ilham; Unuofin, John Onolame; Samuel Asumadu, Sarkodie
发表日期	2024
ISSN	1342-937X
EISSN	1878-0571
起始页码	127
卷号	127
英文摘要	The rising levels of global GHG emissions underpin climate change, hence, taking an appropriate inventory of the drivers and patterns of anthropogenic emissions remains crucial to mitigating global climate effects. However, there are conflicting views in the literature on the relationship between respective drivers and GHG emissions due to the lack of robust analysis that accommodates the interaction of all significant drivers. We use novel estimation techniques to decipher the 26-year inventory of GHG occurrences and simultaneous assessment of interactions in 50 countries stratified based on socioeconomic developments over the period 1990-2018. This study highlights different drivers of GHG emissions under broader categories such as population, economic development, forest density, and agricultural practices. Non-parametric estimations roughly confirm the magnitude of the influence of forests, agriculture, and land-use intensity on GHG emissions, ultimately tracking the most significant emission sinks. (c) 2023 The Author(s). Published by Elsevier B.V. on behalf of International Association for Gondwana Research. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/).
英文关键词	Lasso regression; Climate change mitigation; GHG emissions; Land use; Forestry
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001169405900001
来源期刊	GONDWANA RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/308832
作者单位	Roma Tre University; Consiglio Nazionale delle Ricerche (CNR); Abu Dhabi University; University of Pretoria
推荐引用方式 GB/T 7714	Magazzino, Cosimo,Cerulli, Giovanni,Haouas, Ilham,et al. The drivers of GHG emissions: A novel approach to estimate emissions using nonparametric analysis[J],2024,127.
APA	Magazzino, Cosimo,Cerulli, Giovanni,Haouas, Ilham,Unuofin, John Onolame,&Samuel Asumadu, Sarkodie.(2024).The drivers of GHG emissions: A novel approach to estimate emissions using nonparametric analysis.GONDWANA RESEARCH,127.
MLA	Magazzino, Cosimo,et al."The drivers of GHG emissions: A novel approach to estimate emissions using nonparametric analysis".GONDWANA RESEARCH 127(2024).