中国西南地区农业非二氧化碳温室气体排放的驱动因素和脱钩效应

IF 2.5 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES
Atmosphere Pub Date : 2024-09-06 DOI:10.3390/atmos15091084
Ruiyi Tang, Yuanyue Chu, Xiaoqian Liu, Zhishan Yang, Jian Yao
{"title":"中国西南地区农业非二氧化碳温室气体排放的驱动因素和脱钩效应","authors":"Ruiyi Tang, Yuanyue Chu, Xiaoqian Liu, Zhishan Yang, Jian Yao","doi":"10.3390/atmos15091084","DOIUrl":null,"url":null,"abstract":"In light of the growing demand for green and low-carbon development, the advancement of low-carbon agriculture in alignment with China’s specific national circumstances is imminent. Given this urgency, the accounting of non-CO2 greenhouse gas (GHG) emissions in China’s agricultural system is still in the process of continuous research and improvement. Therefore, in this paper, we present an account of agricultural non-CO2 GHG emissions in Southwest China from 1995 to 2021, based on the carbon emission coefficient method. Furthermore, we explore the extent of the influence of the drivers and the relationship with economic development, utilizing the Stochastic Impact of Regression of Population, Affluence, and Technology (STIRPAT) model and the Tapio model. We observe a general trend of increasing and then decreasing non-CO2 GHG emissions from agriculture in the Southwest region, with a pattern of higher in the center and lower in the east and west. Economic, demographic, structural, and technological levels show different degrees of impact in different provinces, favoring the development of targeted agricultural planning policies in each region. For the majority of the study period, there was a weak or strong decoupling between economic growth and GHG emissions. Finally, recommendations are made to promote low-carbon agricultural development in Southwest China, providing a database and policy support to clarify the GHG contribution of the agricultural system.","PeriodicalId":8580,"journal":{"name":"Atmosphere","volume":"74 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Driving Factors and Decoupling Effects of Non-CO2 Greenhouse Gas Emissions from Agriculture in Southwest China\",\"authors\":\"Ruiyi Tang, Yuanyue Chu, Xiaoqian Liu, Zhishan Yang, Jian Yao\",\"doi\":\"10.3390/atmos15091084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In light of the growing demand for green and low-carbon development, the advancement of low-carbon agriculture in alignment with China’s specific national circumstances is imminent. Given this urgency, the accounting of non-CO2 greenhouse gas (GHG) emissions in China’s agricultural system is still in the process of continuous research and improvement. Therefore, in this paper, we present an account of agricultural non-CO2 GHG emissions in Southwest China from 1995 to 2021, based on the carbon emission coefficient method. Furthermore, we explore the extent of the influence of the drivers and the relationship with economic development, utilizing the Stochastic Impact of Regression of Population, Affluence, and Technology (STIRPAT) model and the Tapio model. We observe a general trend of increasing and then decreasing non-CO2 GHG emissions from agriculture in the Southwest region, with a pattern of higher in the center and lower in the east and west. Economic, demographic, structural, and technological levels show different degrees of impact in different provinces, favoring the development of targeted agricultural planning policies in each region. For the majority of the study period, there was a weak or strong decoupling between economic growth and GHG emissions. Finally, recommendations are made to promote low-carbon agricultural development in Southwest China, providing a database and policy support to clarify the GHG contribution of the agricultural system.\",\"PeriodicalId\":8580,\"journal\":{\"name\":\"Atmosphere\",\"volume\":\"74 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmosphere\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.3390/atmos15091084\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmosphere","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.3390/atmos15091084","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

随着绿色低碳发展要求的不断提高,推进符合中国具体国情的低碳农业迫在眉睫。鉴于这种紧迫性,中国农业系统的非二氧化碳温室气体(GHG)排放核算仍处于不断研究和完善的过程中。因此,本文基于碳排放系数法,对 1995 至 2021 年中国西南地区农业非二氧化碳温室气体排放量进行了核算。此外,我们还利用人口、富裕程度和技术回归随机影响模型(STIRPAT)和 Tapio 模型,探讨了驱动因素的影响程度以及与经济发展的关系。我们观察到西南地区农业产生的非二氧化碳温室气体排放量总体呈先增后减的趋势,中部较高,东部和西部较低。经济、人口、结构和技术水平对不同省份的影响程度不同,有利于各地区制定有针对性的农业规划政策。在研究期间的大部分时间里,经济增长与温室气体排放之间存在或弱或强的脱钩现象。最后,提出了促进西南地区低碳农业发展的建议,为明确农业系统的温室气体贡献提供了数据库和政策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driving Factors and Decoupling Effects of Non-CO2 Greenhouse Gas Emissions from Agriculture in Southwest China
In light of the growing demand for green and low-carbon development, the advancement of low-carbon agriculture in alignment with China’s specific national circumstances is imminent. Given this urgency, the accounting of non-CO2 greenhouse gas (GHG) emissions in China’s agricultural system is still in the process of continuous research and improvement. Therefore, in this paper, we present an account of agricultural non-CO2 GHG emissions in Southwest China from 1995 to 2021, based on the carbon emission coefficient method. Furthermore, we explore the extent of the influence of the drivers and the relationship with economic development, utilizing the Stochastic Impact of Regression of Population, Affluence, and Technology (STIRPAT) model and the Tapio model. We observe a general trend of increasing and then decreasing non-CO2 GHG emissions from agriculture in the Southwest region, with a pattern of higher in the center and lower in the east and west. Economic, demographic, structural, and technological levels show different degrees of impact in different provinces, favoring the development of targeted agricultural planning policies in each region. For the majority of the study period, there was a weak or strong decoupling between economic growth and GHG emissions. Finally, recommendations are made to promote low-carbon agricultural development in Southwest China, providing a database and policy support to clarify the GHG contribution of the agricultural system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Atmosphere
Atmosphere METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.60
自引率
13.80%
发文量
1769
审稿时长
1 months
期刊介绍: Atmosphere (ISSN 2073-4433) is an international and cross-disciplinary scholarly journal of scientific studies related to the atmosphere. It publishes reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信