• 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

探讨中国 CO 排放决定因素的影响:一个 CGE 评估。

Exploring the impact of determining factors behind CO emissions in China: A CGE appraisal.

机构信息

School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China.

School of Economics and Management, North China Electric Power University, Hui Long Guan, Chang Ping District, Beijing 102206, China.

出版信息

Sci Total Environ. 2017 Mar 1;581-582:559-572. doi: 10.1016/j.scitotenv.2016.12.164. Epub 2017 Jan 4.

DOI:10.1016/j.scitotenv.2016.12.164
PMID:28062102
Abstract

Along with the arrival of the post-Kyoto Protocol era, the Chinese government faces ever greater pressure to reduce greenhouse gases (GHGs). Hence, this paper aims to discuss the drivers of carbon dioxide (CO) emissions and their impact on society as a whole. First, we analyzed the background and overall situations of CO emissions in China. Then, we reviewed previous studies to explore the determinants behind China's CO emissions. It is widely acknowledged that energy efficiency, energy mix, and economy structure are three key factors contributing to CO emissions. To explore the impacts of those three factors on the economy and CO emissions, we established a computable general equilibrium (CGE) model. The following results were found: (1) The decline of a secondary industry can cause an emission reduction effect, but this is at the expense of the gross domestic product (GDP), whereas the development of a tertiary industry can boost the economy and help to reduce CO emissions. (2) Cutting coal consumption can contribute significantly to emission reduction, which is accompanied by a great loss in the whole economy. (3) Although the energy efficiency improvement plays a positive role in promoting economic development, a backfire effect can weaken the effects of emission reduction and energy savings.

摘要

随着后京都议定书时代的到来,中国政府面临着越来越大的减少温室气体(GHGs)排放的压力。因此,本文旨在探讨二氧化碳(CO)排放的驱动因素及其对整个社会的影响。首先,我们分析了中国 CO 排放的背景和总体情况。然后,我们回顾了以往的研究,探讨了中国 CO 排放的决定因素。人们普遍认为,能源效率、能源结构和经济结构是导致 CO 排放的三个关键因素。为了探讨这三个因素对经济和 CO 排放的影响,我们建立了一个可计算一般均衡(CGE)模型。结果发现:(1)第二产业的下降会产生减排效果,但这是以牺牲国内生产总值(GDP)为代价的,而第三产业的发展可以促进经济增长并有助于减少 CO 排放。(2)减少煤炭消耗可以显著促进减排,但这会导致整个经济的巨大损失。(3)尽管能源效率的提高对促进经济发展起到了积极作用,但反作用会削弱减排和节能的效果。

相似文献

1
Exploring the impact of determining factors behind CO emissions in China: A CGE appraisal.探讨中国 CO 排放决定因素的影响:一个 CGE 评估。
Sci Total Environ. 2017 Mar 1;581-582:559-572. doi: 10.1016/j.scitotenv.2016.12.164. Epub 2017 Jan 4.
2
Analysis of the impact path on factors of China's energy-related CO emissions: a path analysis with latent variables.中国能源相关二氧化碳排放因素的影响路径分析:基于潜在变量的路径分析
Environ Sci Pollut Res Int. 2017 Feb;24(6):5757-5772. doi: 10.1007/s11356-016-8300-y. Epub 2017 Jan 3.
3
Energy, economic and environmental impact of government fines in China's carbon trading scheme.中国碳交易计划中政府罚款的能源、经济和环境影响。
Sci Total Environ. 2019 Jun 1;667:658-670. doi: 10.1016/j.scitotenv.2019.02.405. Epub 2019 Feb 28.
4
Dynamic evolution analysis of the factors driving the growth of energy-related CO2 emissions in China: An input-output analysis.中国能源相关二氧化碳排放增长驱动因素的动态演变分析:投入产出分析。
PLoS One. 2020 Dec 16;15(12):e0243557. doi: 10.1371/journal.pone.0243557. eCollection 2020.
5
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.
6
Exploring the impact of transition in energy mix on the CO emissions from China's power generation sector based on IDA and SDA.基于IDA 和 SDA 探究中国发电行业能源结构转型对 CO2 排放的影响。
Environ Sci Pollut Res Int. 2021 Jun;28(24):30858-30872. doi: 10.1007/s11356-021-12599-1. Epub 2021 Feb 16.
7
Research on the relationship between China's greenhouse gas emissions and industrial structure and economic growth from the perspective of energy consumption.从能源消费角度研究中国温室气体排放与产业结构、经济增长的关系。
Environ Sci Pollut Res Int. 2020 Nov;27(33):41839-41855. doi: 10.1007/s11356-020-10091-w. Epub 2020 Jul 22.
8
Carbon emissions from energy consumption in China: Its measurement and driving factors.中国能源消费碳排放:测算及驱动因素
Sci Total Environ. 2019 Jan 15;648:1411-1420. doi: 10.1016/j.scitotenv.2018.08.183. Epub 2018 Aug 20.
9
Analysis of China's regional thermal electricity generation and CO emissions: Decomposition based on the generalized Divisia index.中国区域火电发电与碳排放分析:基于广义迪氏指数的分解
Sci Total Environ. 2019 Sep 10;682:737-755. doi: 10.1016/j.scitotenv.2019.05.143. Epub 2019 May 17.
10
Rebound effect of energy efficiency in China's construction industry: a general equilibrium analysis.中国建筑业能源效率回弹效应的一般均衡分析。
Environ Sci Pollut Res Int. 2019 Apr;26(12):12217-12226. doi: 10.1007/s11356-019-04612-5. Epub 2019 Mar 5.

引用本文的文献

1
Spatial Effect of Digital Economy on Particulate Matter 2.5 in the Process of Smart Cities: Evidence from Prefecture-Level Cities in China.数字经济对智慧城市进程中细颗粒物 2.5 的空间效应:来自中国地级市的证据。
Int J Environ Res Public Health. 2022 Nov 4;19(21):14456. doi: 10.3390/ijerph192114456.
2
How quota allocation affects the unified ETS of China: a simulation with dynamic CGE model.配额分配如何影响中国统一碳市场:基于动态 CGE 模型的模拟。
Environ Sci Pollut Res Int. 2020 Jan;27(2):1835-1851. doi: 10.1007/s11356-019-06588-8. Epub 2019 Nov 23.