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Driving forces analysis of energy-related carbon dioxide (CO2) emissions in Beijing: an input–output structural decomposition analysis

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TLDR
In this paper, the authors examined the energy-related CO2 emissions generated by Beijing industries from 2000 to 2010 by using an input-output analysis method and calculated the direct, indirect and total CO 2 emissions of sectors in Beijing.
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Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030

TL;DR: In this article, the authors presented an integrated model of economy and climate (IMEC), an optimization model based on the input-output model, to assess the tradeoff between emission deceleration and economic growth, and found that China may reach its peak CO2 emissions levels by 2026.
Journal ArticleDOI

What drives the carbon emission in the Chinese cities?—A case of pilot low carbon city of Beijing

TL;DR: In this article, a city development-stage framework is introduced to decompose emission factors into energy structure, energy intensity, industrial structure, economic output, and population scale, and the results show that the main driving factor for carbon emission increase in the stage S2 is economic output followed by population scale.
Journal ArticleDOI

Driving factors of the changes in the carbon emissions in the Chinese construction industry

TL;DR: Wang et al. as mentioned in this paper investigated the driving factors of the changes in the carbon emissions in the Chinese construction industry by using the structural decomposition analysis method and the data from the World Input-Output Database.
Journal ArticleDOI

Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city

TL;DR: Wang et al. as discussed by the authors investigated the role of consumption and consumption-based CO2 emissions in an urban economy, taking Beijing as a case, and found that consumption was the key contributor to CO2 emission in Beijing.
Journal ArticleDOI

How do urbanization and consumption patterns affect carbon emissions in China? A decomposition analysis

TL;DR: In this article, a factor-reversible structural decomposition method featuring input-output analysis was used to explore the impacts of urbanization and changes in consumption patterns on incremental household carbon emissions, focusing on sectoral emissions.
References
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Book

Input-Output Analysis : Foundations and Extensions

TL;DR: In this article, the authors provide an introduction to the subject for advanced undergraduate and graduate students in many scholarly fields, including economics, regional science, regional economics, city, regional and urban planning, environmental planning, public policy analysis and public management.
Book ChapterDOI

Environmental Repercussions And The Economic Structure: An Input-Output Approach

TL;DR: In each of its many forms it is related in a measurable way to some particular consumption or production process: the quantity of carbon monoxide released in the air bears, for example, a definite relationship to the amount of fuel burned by various types of automotive engines; discharge of polluted water into our streams and lakes is linked directly to the level of output of the steel, the paper, the textile and all the other water-using industries and its amount depends, in each instance, on the technological characteristics of the particular industry as mentioned in this paper.
Journal ArticleDOI

STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts

TL;DR: In this paper, the STIRPAT model is augmented with measures of ecological elasticity, which allows for a more precise specification of the sensitivity of environmental impacts to the forces driving them.
Journal ArticleDOI

Growth in emission transfers via international trade from 1990 to 2008

TL;DR: A trade-linked global database for CO2 emissions covering 113 countries and 57 economic sectors from 1990 to 2008 indicates that international trade is a significant factor in explaining the change in emissions in many countries, from both a production and consumption perspective.
Journal ArticleDOI

The LMDI approach to decomposition analysis: a practical guide

TL;DR: In this paper, the authors compared various index decomposition analysis methods and concluded that the logarithmic mean divisia index method is the preferred method for most potential users, providing a practical guide that includes the general formulation process, summary tables for easy reference and examples.
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