气候变化领域集成服务门户(CCPortal): The power of attention: Government climate-risk attention and agricultural-land carbon emissions

CCPortal

DOI	10.1016/j.envres.2024.118661
	The power of attention: Government climate-risk attention and agricultural-land carbon emissions
	Chen, Minghao; Xiao, Hongyu; Zhao, He; Liu, Lina
发表日期	2024
ISSN	0013-9351
EISSN	1096-0953
起始页码	251
卷号	251
英文摘要	Climate change is a common challenge faced by all humanity. Promoting emission and carbon reduction in agricultural land is the most important priority for addressing climate change and realizing sustainable development. Based on data from 296 prefecture-level cities in China from 2011 to 2021, this study utilizes machinelearning and text-analysis methods to construct an indicator of government climate-risk attention (GCRA). It combines a two-way fixed-effects model to investigate how GCRA affects agricultural-land carbon emissions (ALCE) and carbon intensity (ALCI) and the mechanism of the impact. The results indicate that (1) GCRA substantially reduces ALCE and ALCI, and the conclusions are robust to a battery of tests. Furthermore, (2) mechanism analysis reveals that GCRA primarily uses three mechanisms-strengthening environmental regulation, promoting agricultural green-technology innovation, and upgrading agricultural-land mechanization-to reduce ALCE and lower ALCI. Additionally, (3) heterogeneity analysis suggests that the carbon-emission reduction effect of GCRA is more significant in the east, in arid and humid climate zones, and in non-grain-producing regions. Finally, (4) spatial-spillover effect analysis and quantile regression results demonstrate that GCRA also significantly inhibits carbon emissions and the carbon intensity of nearby agricultural land, with the inhibition effect becoming more pronounced at higher levels of government attention. This study's discoveries are helpful in promoting the emission reduction and carbon sequestration of agricultural land and provide references for developing countries to cope with climate change.
英文关键词	Climate change; Agricultural land carbon emissions; Spatial spillover effects; Machine learning; Text analysis
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS记录号	WOS:001219130200001
来源期刊	ENVIRONMENTAL RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/308123
作者单位	Shandong Normal University; Shanghai Business School; Shandong Normal University
推荐引用方式 GB/T 7714	Chen, Minghao,Xiao, Hongyu,Zhao, He,et al. The power of attention: Government climate-risk attention and agricultural-land carbon emissions[J],2024,251.
APA	Chen, Minghao,Xiao, Hongyu,Zhao, He,&Liu, Lina.(2024).The power of attention: Government climate-risk attention and agricultural-land carbon emissions.ENVIRONMENTAL RESEARCH,251.
MLA	Chen, Minghao,et al."The power of attention: Government climate-risk attention and agricultural-land carbon emissions".ENVIRONMENTAL RESEARCH 251(2024).