• 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

奥地利和捷克斯洛伐克二氧化碳排放量的长期变化——确定环境压力的驱动因素。

Long-term changes in CO(2) emissions in Austria and Czechoslovakia-Identifying the drivers of environmental pressures.

作者信息

Gingrich Simone, Kušková Petra, Steinberger Julia K

机构信息

Institute of Social Ecology, Faculty for Interdisciplinary Studies Vienna, University of Klagenfurt, Schottenfeldgasse 29/5, 1070 Wien, Austria.

出版信息

Energy Policy. 2011 Feb;39(2):535-543. doi: 10.1016/j.enpol.2010.10.006.

DOI:10.1016/j.enpol.2010.10.006
PMID:21461052
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3056487/
Abstract

This study presents fossil-fuel related CO(2) emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830-2000. The drivers of CO(2) emissions are discussed by investigating the variables of the standard Kaya identity for 1920-2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO(2) emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO(2) throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO(2) emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO(2) emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO(2) emissions in the late 20th century. Neither Austrian "eco-efficiency" nor Czechoslovak restructuring have been effective in reducing CO(2) emissions to a sustainable level.

摘要

本研究展示了1830年至2000年奥地利和捷克斯洛伐克(现捷克共和国和斯洛伐克)与化石燃料相关的二氧化碳排放量。通过研究1920年至2000年标准卡亚恒等式的变量并进行比较性指数分解分析,探讨了二氧化碳排放的驱动因素。分析了工业生产和家庭消费的代理数据,以了解经济结构的作用。从长期来看,两国的二氧化碳排放量均有所增加。捷克斯洛伐克在整个时间段内都是更强的二氧化碳排放国,但人均排放量仅在第一次世界大战后显著不同,当时捷克斯洛伐克和奥地利独立。二氧化碳排放量的差异一直增加到20世纪80年代中期(捷克斯洛伐克的共产主义时期),这可以由能源强度和构成效应以及捷克斯洛伐克更高的工业生产来解释。起平衡作用的因素是收入效应和家庭消费。1990年天鹅绒革命后,捷克斯洛伐克的二氧化碳排放量下降,能源构成效应(以及工业生产)的重要性降低。尽管奥地利和捷克斯洛伐克有着不同的政治和经济发展历程,但在20世纪后期,它们的人均二氧化碳排放量达到了相似的水平。奥地利的“生态效率”和捷克斯洛伐克的结构调整都未能有效地将二氧化碳排放量降低到可持续水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/ec340432ee32/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/64ec163d86f7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/c9720115d9ff/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/eeb4ecaffaaf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/228ee7545dc4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/ec340432ee32/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/64ec163d86f7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/c9720115d9ff/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/eeb4ecaffaaf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/228ee7545dc4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a68/3056487/ec340432ee32/gr5.jpg

相似文献

1
Long-term changes in CO(2) emissions in Austria and Czechoslovakia-Identifying the drivers of environmental pressures.奥地利和捷克斯洛伐克二氧化碳排放量的长期变化——确定环境压力的驱动因素。
Energy Policy. 2011 Feb;39(2):535-543. doi: 10.1016/j.enpol.2010.10.006.
2
Decarbonization of Vietnam's economy: decomposing the drivers for a low-carbon growth.越南经济脱碳:低碳增长的驱动因素分解。
Environ Sci Pollut Res Int. 2021 Jan;28(1):518-529. doi: 10.1007/s11356-020-10481-0. Epub 2020 Aug 19.
3
Using Kaya and LMDI models to analyze carbon emissions from the energy consumption in China.利用 Kaya 和 LMDI 模型分析中国能源消费的碳排放。
Environ Sci Pollut Res Int. 2020 Jul;27(21):26495-26501. doi: 10.1007/s11356-020-09075-7. Epub 2020 May 4.
4
Revival of psychology in former Czechoslovakia and the contemporary Czech Republic after the fall of Totalitarian communist regimes.前捷克斯洛伐克和共产主义极权政权倒台后的捷克共和国的心理学复兴。
J Hist Behav Sci. 2023 Jan;59(1):62-69. doi: 10.1002/jhbs.22241. Epub 2022 Dec 19.
5
The effect of carbon dioxide emission and the consumption of electrical energy, fossil fuel energy, and renewable energy, on economic performance: evidence from Pakistan.二氧化碳排放及电力、化石燃料和可再生能源消耗对经济绩效的影响:来自巴基斯坦的证据。
Environ Sci Pollut Res Int. 2019 Jul;26(21):21760-21773. doi: 10.1007/s11356-019-05550-y. Epub 2019 May 27.
6
Decomposition of Cameroon's CO emissions from 2007 to 2014: an extended Kaya identity.喀麦隆 2007 年至 2014 年 CO 排放分解:扩展的 Kaya 恒等式。
Environ Sci Pollut Res Int. 2019 Jun;26(16):16695-16707. doi: 10.1007/s11356-019-05042-z. Epub 2019 Apr 16.
7
Tourism in Austria: biodiversity, environmental sustainability, and growth issues.奥地利的旅游业:生物多样性、环境可持续性与增长问题。
Environ Sci Pollut Res Int. 2016 Dec;23(23):24178-24194. doi: 10.1007/s11356-016-7609-x. Epub 2016 Sep 19.
8
Preventing carbon emission retaliatory rebound post-COVID-19 requires expanding free trade and improving energy efficiency.防止新冠肺炎疫情后碳排放量报复性反弹需要扩大自由贸易和提高能源效率。
Sci Total Environ. 2020 Dec 1;746:141158. doi: 10.1016/j.scitotenv.2020.141158. Epub 2020 Jul 21.
9
Population, development, and the environment: trends and key issues in the developed countries.人口、发展与环境:发达国家的趋势及关键问题
Int J Health Serv. 1993;23(3):519-39. doi: 10.2190/TQ24-K0V6-UNHY-QBA1.
10
Evaluating the Mutual Relationship between IPAT/Kaya Identity Index and ODIAC-Based GOSAT Fossil-Fuel CO Flux: Potential and Constraints in Utilizing Decomposed Variables.评估 IPAT/Kaya 身份指数与基于 ODIAC 的 GOSAT 化石燃料 CO 通量之间的相互关系:利用分解变量的潜力和限制。
Int J Environ Res Public Health. 2020 Aug 17;17(16):5976. doi: 10.3390/ijerph17165976.

引用本文的文献

1
Examining spatiotemporal dynamics of CO emission at multiscale based on nighttime light data.基于夜间灯光数据的多尺度一氧化碳排放时空动态研究。
Heliyon. 2025 Jan 8;11(2):e41806. doi: 10.1016/j.heliyon.2025.e41806. eCollection 2025 Jan 30.
2
Spatial characteristics and coupling coordination between carbon emission efficiency and industrial structure in three metropolitan areas of Jiangsu Province, China.中国江苏省三大都市圈的碳排放效率与产业结构的空间特征及耦合协调关系
Sci Prog. 2023 Apr-Jun;106(2):368504231176146. doi: 10.1177/00368504231176146.
3
Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt.

本文引用的文献

1
Sustainability or collapse: what can we learn from integrating the history of humans and the rest of nature?可持续发展还是崩溃:我们能从整合人类历史与自然界其他部分中学到什么?
Ambio. 2007 Nov;36(7):522-7. doi: 10.1579/0044-7447(2007)36[522:socwcw]2.0.co;2.
2
Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks.经济活动、碳强度和自然碳汇效率对加速大气二氧化碳增长的贡献。
Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18866-70. doi: 10.1073/pnas.0702737104. Epub 2007 Oct 25.
3
Global and regional drivers of accelerating CO2 emissions.
随机森林分析长江经济带城市影响城市碳排放的因素。
PLoS One. 2021 Jun 4;16(6):e0252337. doi: 10.1371/journal.pone.0252337. eCollection 2021.
4
Log Mean Divisia Index Decomposition Analysis of the Demand for Building Materials: Application to Concrete, Dwellings, and the U.K.建筑材料需求的对数均值迪氏指数分解分析:在混凝土、住宅和英国的应用
Environ Sci Technol. 2021 Mar 2;55(5):2767-2778. doi: 10.1021/acs.est.0c02387. Epub 2021 Feb 20.
5
At the core of the socio-ecological transition: Agroecosystem energy fluxes in Austria 1830-2010.社会-生态转型的核心:1830-2010 年奥地利农业生态系统能量通量。
Sci Total Environ. 2018 Dec 15;645:119-129. doi: 10.1016/j.scitotenv.2018.07.074. Epub 2018 Jul 17.
加速二氧化碳排放的全球及区域驱动因素。
Proc Natl Acad Sci U S A. 2007 Jun 12;104(24):10288-93. doi: 10.1073/pnas.0700609104. Epub 2007 May 22.
4
A framework for sustainability science: a renovated IPAT identity.可持续性科学框架:一种更新的IPAT等式。
Proc Natl Acad Sci U S A. 2002 Jun 11;99(12):7860-5. doi: 10.1073/pnas.122235999.
5
Effects of population and affluence on CO2 emissions.人口与富裕程度对二氧化碳排放的影响。
Proc Natl Acad Sci U S A. 1997 Jan 7;94(1):175-9. doi: 10.1073/pnas.94.1.175.