Journal ArticleDOI
Using LMDI method to analyze transport sector CO2 emissions in China
Wenwen Wang,Ming Zhang,Min Zhou +2 more
TLDR
In this article, the authors investigated the potential factors influencing the change of transport sector CO2 emissions in China and found that the transportation intensity effect and transportation services share effect were the main drivers of the reduction of CO2 emission in China.About:
This article is published in Energy.The article was published on 2011-10-01. It has received 283 citations till now.read more
Citations
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Journal ArticleDOI
Index decomposition analysis applied to CO2 emission studies
TL;DR: In this article, the authors reviewed 80 papers appearing in peer-reviewed journals from 1991 to 2012 in this application area, focusing on the developments with regard to the IDA approaches used by researchers, and the scope and focus of their studies.
Journal ArticleDOI
The imperativeness of environmental quality in the United States transportation sector amidst biomass-fossil energy consumption and growth
TL;DR: In this article, the impact of biomass energy consumption, fossil fuel energy consumption and economic growth on CO2 emissions in the transportation sector of the USA was investigated using the Spectral Breitung-Candelon causality test.
Journal ArticleDOI
Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment
TL;DR: Wang et al. as discussed by the authors used an extended logarithmic mean divisia index (LMDI) model focusing on both energy-related and process-related CO 2 emissions and introducing three novel investment factors, i.e., investment scale, investment share, and investment efficiency.
Journal ArticleDOI
CO2 emissions patterns in 7 top carbon emitter economies: The case of transport sector
TL;DR: In this article, the authors identified the trends and characteristics of transport carbon emissions and decomposes carbon emission in this sector in 7 top transport CO2 emitter countries by applying the logarithmic mean divisia index (LMDI).
Journal ArticleDOI
Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing
TL;DR: Wang et al. as mentioned in this paper presented features, trajectories and driving forces for energy-related greenhouse gas (GHG) emissions from four Chinese mega-cities (Beijing, Tianjin, Shanghai and Chongqing) during 1995-2009.
References
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Book
China statistical yearbook
TL;DR: In this paper, the authors present a cross section of steel industry statistics and highlight the co operation of members and non members in supplying the information included in this publication, further details of the statistical sources used are given in the annex p 119.
Journal ArticleDOI
Decomposition analysis for policymaking in energy:: which is the preferred method?
TL;DR: There is a need to have a common understanding among practitioners and consistency on the choice of decomposition methods in empirical studies, and to address the above-mentioned issues and provide recommendations.
Journal ArticleDOI
A survey of index decomposition analysis in energy and environmental studies
B.W. Ang,Fuqiang Zhang +1 more
TL;DR: Index decomposition methodology was a technique first used in the late 1970s to study the impact of changes in product mix on industrial energy demand and has been increasingly used in energy-related environmental analysis.
Journal ArticleDOI
A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China
TL;DR: The authors used multivariate co-integration Granger causality tests to investigate the correlations between carbon dioxide emissions, energy consumption and economic growth in China, and found that the adoption of a reduction in CO2 emissions and energy consumption as a long term policy goal will result in a closed-form relationship, to the detriment of the economy.
Journal ArticleDOI
Input-output structural decomposition analysis: a critical appraisal
Adam Rose,Stephen D. Casler +1 more
TL;DR: In this article, the fundamental principles of alternative approaches to deriving SDA estimating equations and explore the various decompositions of changes in IO tables are presented, as well as several complications and unresolved issues.