A Multi-region Structural Decomposition Analysis of Global CO 2 Emission Intensity

Wang, H.; Ang, B.W.; Su, Bin

doi:10.1016/j.ecolecon.2017.06.023

Cited by 136 publications

(59 citation statements)

References 44 publications

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“…Zhang et al [15] concluded that a higher level of economic growth and an increased share of the tertiary industry can significantly reduce CO 2 emissions, while a high level of urbanization has an adverse effect. Meanwhile, other researches have shown that the adjustments of energy and industry structures can decrease carbon intensity [16,17]. The same effect would have a higher end-use efficiency of the electricity industry [18].…”

Section: Introductionmentioning

confidence: 99%

Financial Development and CO2 Emissions in Post-Transition European Union Countries

2020

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Carbon dioxide emissions are on the rise, posing a serious global issue. Therefore, it is important that policymakers identify the exact causes of these emissions. This paper investigates the influence of financial development, primary energy consumption, and economic growth on CO2 emissions in 11 post-transition European economies. The assessment was made for the 1995–2017 period using panel cointegration and causality analyses. The causality analyses did not reveal significant connection between financial sector development and CO2 emissions, but rather a two-way causality between primary energy consumption and economic growth, on one hand, and CO2 emissions on the other. Meanwhile, long-run analysis disclosed that financial sector development and primary energy consumption positively affected CO2 emissions. Our results seek to grab the attention of policy makers, who could work towards creating country-specific strategies that balance the relationship between financial development and CO2 emissions. These long-term policies could ensure both development of the financial sector and environmental protection.

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Section: Introductionmentioning

confidence: 99%

Financial Development and CO2 Emissions in Post-Transition European Union Countries

2020

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“…Quantity indicators (such as energy consumption or CO 2 emissions) and intensity indicators (such as energy or emissions intensities, i.e., indicators with a physical quantity in the numerator divided by a monetary value -e.g., either gross output or value added -in the denominator) focus on physical flows. See Ang et al [2010], , Wang et al [2017], for some examples. However, economists, in particular, are not interested in physical flows alone but are also interested in corresponding monetary data.…”

Section: Introductionmentioning

confidence: 99%

What drives total real unit energy costs globally? A novel LMDI decomposition approach

Kaltenegger

2020

Applied Energy

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. AbstractThis paper presents a novel logarithmic mean Divisia index (LMDI) decomposition framework that is tailor-made for unit cost indicators. It adds four new models to the existing LMDI model family. The main novelty of the new framework lies in the separation of quantity and price effects captured in unit cost indicators, while retaining the same desirable properties of traditional models. Four case studies apply the novel LMDI framework to the total real unit energy costs (total RUEC) indicator. Total RUEC represents the sum of direct energy costs (for energy products) and indirect energy costs (energy costs embedded in intermediate inputs and passed on along global value chains) as a fraction of value added. This yardstick allows for monitoring shifts in the burden of energy costs on industries. The first three case studies, based on the World Input-Output Database, cover the period between 1995 and 2009. For an up-to-date analysis, a fourth case study collects additional data for 2009-2016 from energy and economic statistics' institutions. Globally, up until 2009, rising costs for crude petroleum/natural gas and the rise of China in the global economy were the largest drivers of total RUEC. In general, increases of indirect energy costs were more substantial than were those of direct energy costs. The total RUEC of Chinese car manufacturers increased much more strongly than did that of American car manufacturers. After 2009 (until 2016), prices for crude petroleum/natural gas and value added generation were major decelerating factors of global direct RUEC, while increases in energy consumption had offsetting effects. This paper provides a suitable tool to scientists who want to build on unit cost indicators in their research in general and to all policy-oriented institutions concerned with monitoring and analysing the energy transition in particular. Highlights• This paper presents a novel logarithmic mean Divisia index decomposition framework.• It contributes four new models to the existing LMDI model family.• First LMDI models that separate quantity and price effects.• Four case studies apply the LMDI framework to the total RUEC indicator.• This paper provides a new tool, particularly for monitoring the energy transition.

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“…For multiple regions, Xu and Dietzenbacher [28] studied the driving forces behind the growth of carbon emissions embodied in trade in 40 countries during 1995-2007. Wang et al [29] studied changes in CO 2 emission intensities for three major economies-China, India, and the United States-from 2000-2009. In addition, various attempts have been made to reduce CO 2 emissions [30,31].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of CO2 Emissions from International Transport and the Driving Forces of Emissions Change

2018

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As a consequence of globalization, increased international transport generates many pollutants. Pollution generation from other industries related to international transport also cannot be ignored. This paper thus aims to investigate the carbon emissions from international transport. We analyzed embodied carbon emissions of international transport using multi-region input output analysis, and identified the factors underlying changes in emissions using structural decomposition analysis. China was the world's largest CO 2-emitting country in international transport in terms of both production-and consumption-based standards. However, consumption-based emissions in that country were much lower than production-based emissions, while in the United States, with second largest emissions, the situation was the opposite. Major emission changes were contingent on demands for international transportation and emission efficiency. In the case of the European Union (EU), consumption-based emissions were higher, but CO 2 emissions decreased gradually due to increased emission efficiency. The different information is provided by each standard, and reduction targets can change according to the standards employed. While discussions on emissions standards are still in progress, the results of this study suggest that CO 2 emissions from international transport, and according to different emissions standards, should receive careful attention in energy policy design, in order to limit CO 2 emissions globally.

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A Multi-region Structural Decomposition Analysis of Global CO 2 Emission Intensity

Cited by 136 publications

References 44 publications

Financial Development and CO2 Emissions in Post-Transition European Union Countries

Financial Development and CO2 Emissions in Post-Transition European Union Countries

What drives total real unit energy costs globally? A novel LMDI decomposition approach

An Analysis of CO2 Emissions from International Transport and the Driving Forces of Emissions Change

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