2019
DOI: 10.3390/su11092564
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The Spatiotemporal Pattern of Decoupling Transport CO2 Emissions from Economic Growth across 30 Provinces in China

Abstract: Since 2005, China has become the largest emitter of CO 2 . The transport sector is a major source of CO 2 emissions, and the most rapidly growing sector in terms of fuel consumption and CO 2 emissions in China. This paper estimated CO 2 emissions in the transport sector across 30 provinces through the IPCC (International Panel on Climate Change) top-down method and identified the spatiotemporal pattern of the decoupling of transport CO 2 emissions from economic growth during 1995 to 2016 by the modified Tapio'… Show more

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Cited by 16 publications
(5 citation statements)
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“…In our study, there still exist certain limitations that should be addressed in the future. We employed a carbon emissions factor method for calculating land use carbon emissions for 30 provinces in China following the IPCC [30] guidelines, which have been widely used in a wealth of studies conducted in China [52,[78][79][80]. Nevertheless, some emissions parameters were extracted from the IPCC recommended values and related ecological literature due to the fact that some of China's carbon emissions factors are still under study.…”
Section: Discussionmentioning
confidence: 99%
“…In our study, there still exist certain limitations that should be addressed in the future. We employed a carbon emissions factor method for calculating land use carbon emissions for 30 provinces in China following the IPCC [30] guidelines, which have been widely used in a wealth of studies conducted in China [52,[78][79][80]. Nevertheless, some emissions parameters were extracted from the IPCC recommended values and related ecological literature due to the fact that some of China's carbon emissions factors are still under study.…”
Section: Discussionmentioning
confidence: 99%
“…In this paper, we adopted a top-down fuel-based approach to calculate the CO 2 emissions of the transportation sector. The calculation formula, adopted in several studies [40][41][42], is the following:…”
Section: Co 2 Emissions Estimation Approachmentioning
confidence: 99%
“…At the provincial level, Wang, and Feng [21] quantitatively revealed the driving factors of industrial CO 2 emissions and analyzed the decoupling of industrial CO 2 emissions from GDP growth during 2000-2014. However, the decoupling analysis of this research focused on the entire study period 2000-2014, while the variation characteristics of the decoupling status were not be investigated even though many decoupling analyses found obvious periodical characteristics of the decoupling in the other sectors [22,23].…”
Section: Introductionmentioning
confidence: 99%