气候变化领域集成服务门户(CCPortal): Spatial-temporal characteristics and driving factors' contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995-2021

CCPortal

DOI	10.1007/s11356-024-32359-1
	Spatial-temporal characteristics and driving factors' contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995-2021
	Chu, Yuan-yue; Zhang, Xi-ling; Guo, Yang-chen; Tang, Li-juan; Zhong, Chao-yong; Zhang, Ji-wen; Li, Xin-long; Qiao, De-wen
发表日期	2024
ISSN	0944-1344
EISSN	1614-7499
起始页码	31
结束页码	13
卷号	31 期号:13
英文摘要	Comprehending the spatial-temporal characteristics, contributions, and evolution of driving factors in agricultural non-CO2 greenhouse gas (GHG) emissions at a macro level is pivotal in pursuing temperature control objectives and achieving China's strategic goals related to carbon peak and carbon neutrality. This study employs the Intergovernmental Panel on Climate Change (IPCC) carbon emissions coefficient method to comprehensively evaluate agricultural non-CO2 GHG emissions at the provincial level. Subsequently, the contributions and spatial-temporal evolution of six driving factors derived from the Kaya identity were quantitatively explored using the Logarithmic Mean Divisia Index (LMDI) and Geographical and Temporal Weighted Regression (GTWR) methods. The results revealed that the distribution of agricultural non-CO2 GHG emissions is shifting from the central provinces to the northwest regions. Moreover, the dominant driving factors of agricultural non-CO2 GHG emissions were primarily economic factor (EDL) with positive impact (cumulative promotion is 2939.61 million metric tons (Mt)), alongside agricultural production efficiency factor (EI) with negative impact (cumulative reduction is 2208.98 Mt). Influence of EDL diminished in the eastern coastal regions but significantly impacted underdeveloped regions such as the northwest and southwest. In the eastern coastal regions, EI gradually became the absolute dominant driver, demonstrating a rapid reduction effect. Additionally, a declining birth rate and rural-to-urban population migration have significantly amplified the driving effects of the population factor (RP) at a national scale. These findings, in conjunction with the disparities in geographic and socioeconomic development among provinces, can serve as a guiding framework for the development of a region-specific roadmap aimed at reducing agricultural non-CO2 GHG emissions.
英文关键词	Agricultural non-CO2 GHG emissions; Driving factors; Spatial-temporal characteristics; LMDI; GTWR
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001163566600011
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/299399
作者单位	Sichuan University
推荐引用方式 GB/T 7714	Chu, Yuan-yue,Zhang, Xi-ling,Guo, Yang-chen,et al. Spatial-temporal characteristics and driving factors' contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995-2021[J],2024,31(13).
APA	Chu, Yuan-yue.,Zhang, Xi-ling.,Guo, Yang-chen.,Tang, Li-juan.,Zhong, Chao-yong.,...&Qiao, De-wen.(2024).Spatial-temporal characteristics and driving factors' contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995-2021.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,31(13).
MLA	Chu, Yuan-yue,et al."Spatial-temporal characteristics and driving factors' contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995-2021".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 31.13(2024).