• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国商业部门二氧化碳排放的影响因素:一种非参数加性回归模型。

Influencing factors of the carbon dioxide emissions in China's commercial department: A non-parametric additive regression model.

机构信息

Department of Economics and Management, North China Electric Power University, Baoding, Hebei, China.

Department of Economics and Management, North China Electric Power University, Baoding, Hebei, China.

出版信息

Sci Total Environ. 2019 Jun 10;668:1-12. doi: 10.1016/j.scitotenv.2019.02.412. Epub 2019 Feb 27.

DOI:10.1016/j.scitotenv.2019.02.412
PMID:30851677
Abstract

The commercial department plays a significant role in China's energy conservation and carbon dioxide emission mitigation. The study employs a panel data set during 2001-2015 and adopts a non-parametric additive regression model to analyse the drivers of commercial department's carbon dioxide emissions in China. Non-parametric additive regression model based on the provincial panel data is first applied to investigate the carbon dioxide emissions in China's commercial department. The consequences demonstrate that the nonlinear impact of economic growth upon carbon dioxide emissions is in accordance with the Environmental Kuznets Curve (EKC) hypothesis. Energy intensity is currently in the left half of the "overturned U-shaped" relationship. In the long run, the overturned "U-shaped" impact of energy intensity may be due to the discrepant level of technological development in different phases. Nevertheless, the urbanization demonstrates an erected "U-shaped" impact on carbon dioxide emissions owing to the further urban commercial consumption and fixed asset investment in recent times. Aggregate population presents a fast-to-slow growth relationship, which is the result that residents require massive commercial goods with the augment in population and income. Energy structure also reveals an erected "U-shape" relationship on account of slight electricity consumption in former times and the large amount of thermal power consumption in later phases. As a result, we should take into full consideration the disparate fluctuant impacts of these influencing indicators when it comes to carbon dioxide emissions in commercial department.

摘要

商业部门在中国的节能和减少二氧化碳排放方面发挥着重要作用。本研究利用了 2001-2015 年期间的面板数据,并采用非参数加性回归模型分析了中国商业部门二氧化碳排放的驱动因素。首次基于省级面板数据的非参数加性回归模型来研究中国商业部门的二氧化碳排放。结果表明,经济增长对二氧化碳排放的非线性影响符合环境库兹涅茨曲线(EKC)假说。能源强度目前处于“倒 U 型”关系的左半部分。从长期来看,能源强度的倒“U 型”影响可能是由于不同阶段技术发展水平的差异。然而,由于近年来城市商业消费和固定资产投资的增加,城市化对二氧化碳排放呈现出竖立的“U 型”影响。由于人口和收入的增加,居民对大量商业商品的需求,总人口呈现出快速到缓慢的增长关系。能源结构也由于过去用电量小和后来阶段火力发电量大而呈现出竖立的“U 形”关系。因此,在考虑商业部门的二氧化碳排放时,我们应该充分考虑这些影响指标的不同波动影响。

相似文献

1
Influencing factors of the carbon dioxide emissions in China's commercial department: A non-parametric additive regression model.中国商业部门二氧化碳排放的影响因素:一种非参数加性回归模型。
Sci Total Environ. 2019 Jun 10;668:1-12. doi: 10.1016/j.scitotenv.2019.02.412. Epub 2019 Feb 27.
2
Analysis of influencing factors of the carbon dioxide emissions in China's commercial department based on the STIRPAT model and ridge regression.基于 STIRPAT 模型和岭回归的中国商业部门二氧化碳排放影响因素分析。
Environ Sci Pollut Res Int. 2019 Sep;26(26):27138-27147. doi: 10.1007/s11356-019-05929-x. Epub 2019 Jul 18.
3
Analysis of influencing factors of the CO emissions in China: Nonparametric additive regression approach.中国 CO 排放量影响因素分析:非参数加性回归方法。
Sci Total Environ. 2019 Dec 1;694:133724. doi: 10.1016/j.scitotenv.2019.133724. Epub 2019 Aug 1.
4
A study on China's economic growth, green energy technology, and carbon emissions based on the Kuznets curve (EKC).基于库兹涅茨曲线(EKC)的中国经济增长、绿色能源技术和碳排放研究。
Environ Sci Pollut Res Int. 2021 Feb;28(6):7200-7211. doi: 10.1007/s11356-020-11019-0. Epub 2020 Oct 7.
5
Carbon emissions, energy consumption and economic growth: Evidence from the agricultural sector of China's main grain-producing areas.碳排放、能源消耗与经济增长:来自中国主要粮食产区农业部门的证据。
Sci Total Environ. 2019 May 15;665:1017-1025. doi: 10.1016/j.scitotenv.2019.02.162. Epub 2019 Feb 12.
6
Spatiotemporal characteristics and influencing factors of carbon emissions from civil buildings: Evidence from urban China.民用建筑碳排放的时空特征及影响因素分析——来自中国城市的证据。
PLoS One. 2022 Aug 4;17(8):e0272295. doi: 10.1371/journal.pone.0272295. eCollection 2022.
7
Examining the spatiotemporal variations and inequality of China's provincial CO emissions.考察中国省级 CO 排放的时空变化及其不平等性。
Environ Sci Pollut Res Int. 2020 May;27(14):16362-16376. doi: 10.1007/s11356-020-08181-w. Epub 2020 Mar 2.
8
China's cement demand and CO emissions toward 2030: from the perspective of socioeconomic, technology and population.中国水泥需求与 CO2 排放展望 2030:基于社会经济、技术和人口视角。
Environ Sci Pollut Res Int. 2019 Mar;26(7):6409-6423. doi: 10.1007/s11356-018-04081-2. Epub 2019 Jan 8.
9
Testing environmental Kuznets curve hypothesis: considering the impact of Sino-US trade on three main industries in China.检验环境库兹涅茨曲线假说:考虑中美贸易对中国三大产业的影响。
Environ Sci Pollut Res Int. 2022 Aug;29(36):54796-54812. doi: 10.1007/s11356-022-19522-2. Epub 2022 Mar 19.
10
Decoupling economic growth from carbon dioxide emissions in China's metal industrial sectors: A technological and efficiency perspective.从技术与效率视角看中国金属工业部门经济增长与二氧化碳排放脱钩
Sci Total Environ. 2019 Nov 15;691:1173-1181. doi: 10.1016/j.scitotenv.2019.07.190. Epub 2019 Jul 13.

引用本文的文献

1
Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality.中国碳中和目标下城市碳排放的空间差异及影响因素。
Int J Environ Res Public Health. 2022 May 25;19(11):6427. doi: 10.3390/ijerph19116427.
2
Ecological Security Assessment Based on Ecological Footprint Approach in Hulunbeir Grassland, China.基于生态足迹法的中国呼伦贝尔草原生态安全评估。
Int J Environ Res Public Health. 2019 Nov 29;16(23):4805. doi: 10.3390/ijerph16234805.
3
What Are the Driving Forces of Urban CO Emissions in China? A Refined Scale Analysis between National and Urban Agglomeration Levels.
中国城市 CO 排放的驱动因素是什么?国家和城市群层面的精细化规模分析。
Int J Environ Res Public Health. 2019 Sep 30;16(19):3692. doi: 10.3390/ijerph16193692.