Carbon emission and its decoupling research of transportation in Jiangsu Province

Wang, Yuhong; Xie, Tangyong; Yang, Shulin

doi:10.1016/j.jclepro.2016.09.052

Cited by 148 publications

(54 citation statements)

References 15 publications

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“…The units of these variables are 10,000 tons of standard coal. Data on the above variables were mainly derived from the China Energy Statistical Yearbook (2005-2015) and China Statistical Yearbook (2005-2015), which have been widely used in the field of energy and environmental research because of their high quality and reliability(Dong et al, 2016;Wang, Xie, & Yang, 2017;Zhang et al, 2012;Zhang & Da, 2015).…”

mentioning

confidence: 99%

Analysis of the rebound effects of fossil and nonfossil energy in China based on sustainable development

Chen

Gao

Ding

et al. 2019

Sustainable Development

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Although the rebound effect caused by technological progress has been widely accepted, few studies have estimated and compared the rebound effects of fossil and nonfossil energy separately, because fossil and nonfossil energy consumption have different effects on sustainable development. We use the data envelopment analysis–Malmquist index, logarithmic mean Divisia index, and Jacobian matrix methods to estimate and compare the rebound effects of China's fossil and nonfossil energy during 2006–2014. Empirical results show that nonfossil energy had a higher rebound effect than fossil energy and that technological progress was helpful in decreasing the proportion of fossil energy consumption. Furthermore, we found that technological progress contributed to increases in the relative price of fossil energy, causing nonfossil energy to be more favored. Simultaneously, nonfossil energy produced a substitution effect on fossil energy over the long term. On the basis of the empirical analysis, we also present some environmental policy implications.

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mentioning

confidence: 99%

Analysis of the rebound effects of fossil and nonfossil energy in China based on sustainable development

Chen

Gao

Ding

et al. 2019

Sustainable Development

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show abstract

“…The concept of "decoupling" also originated from physics, which means dissociating the relationships among some physical variables [50][51][52][53][54][55][56][57]73]. Tapio (2005) [54] defined decoupling index based on the concept of elasticity analysis and provided eight logical possibilities for decoupling states, namely weak decoupling, expansive coupling, expansive negative decoupling, strong negative decoupling, weak negative decoupling, recessive coupling, recessive decoupling and strong decoupling.…”

Section: Temporal Decoupling Classification Methodsmentioning

confidence: 99%

Exploring the Coupling and Decoupling Relationships between Urbanization Quality and Water Resources Constraint Intensity: Spatiotemporal Analysis for Northwest China

Bao

Zou

2017

Sustainability

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Abstract:China is faced with great challenges for its low urbanization quality and high water stress. Moreover, the relationship between urbanization quality and water resources is still ambiguous. Therefore, we firstly constructed an urbanization quality index (UQI) and a water resources constraint intensity index (WRCI) by a fuzzy comprehensive evaluation method with multi-objectives and multi-hierarchies. Secondly, based on the concept and method of "coupling" and "decoupling", we provided a method to explore the coordinated and uncoordinated relationships between UQI and WRCI from a spatiotemporal perspective. Finally, we used the statistical data of 51 prefecture level regions in Northwest China from the period 2000-2014 to analyze the spatiotemporal variation of the coupling and decoupling relationships between UQI and WRCI. Results show that, the UQI and WRCI in the whole Northwest China both belonged to low level, and that they had achieved strong decoupling during 2000-2014. However, the coupling and decoupling relationships between UQI and WRCI in Northwest China had great spatial disparity. From the HL-type regions (regions with high UQI & low WRCI) and strong decoupling type regions, we can find key development areas of Northwest China, where the relationships between UQI and WRCI were optimal and coordinated. From the LH-type regions (regions with low UQI & high WRCI) and strong negative decoupling type regions, we can find key problem areas, where the relationships between UQI and WRCI were the worst and uncoordinated. Our study developed an effective method for evaluating the sustainable development level of urbanization constrained by water resources in Northwest China and similar regions, which is significant for the New-Type Urbanization research in China.

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“…Since CO 2 emissions from the transport sector of China have witnessed rapid growth in recent years, the LMDI method has been applied to decompose CO 2 emissions changes in the transport sector of China at national, regional, and provincial levels [33]. Meanwhile, some studies in the transport sector have adopted the Tapio model to discuss delinking economic growth from environmental problems [34].…”

Section: A Brief Literature Reviewmentioning

confidence: 99%

Uncovering CO2 Emissions Patterns from China-Oriented International Maritime Transport: Decomposition and Decoupling Analysis

Yang

2019

Sustainability

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Given that most commodity transportation depends on the maritime industry, the growing economy and increasing international trade volume are expected to accelerate the development of shipping activities and thus increase associated CO2 emissions. In order to identify the driving factors of CO2 emissions from China’s international shipping and find efficient mitigation strategies, this paper first estimates the CO2 emissions and presents the CO2 emissions features from 2000 to 2017. Second, the Logarithmic Mean Divisia Index (LMDI) method is applied to decompose the changes in CO2 emissions. Finally, the decoupling index is introduced to quantitatively examine the decoupling relationship between economic growth and CO2 emissions. The factors affecting the decoupling relationship are analyzed according to the LMDI results. The results indicate that CO2 emissions in maritime transport activities have experienced rapid growth during the study period. Economic growth appears to be the principal factor driving the CO2 emissions growth, whereas the overall effects of energy intensity and the commodity structure play a significant role in inhibiting CO2 emissions. The decoupling state over the study period has experienced four decoupling stages, with a distinct tendency towards weak decoupling. Economic activity has proven to be the most significant indicator influencing the decoupling relationship during the study period.

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Carbon emission and its decoupling research of transportation in Jiangsu Province

Cited by 148 publications

References 15 publications

Analysis of the rebound effects of fossil and nonfossil energy in China based on sustainable development

Analysis of the rebound effects of fossil and nonfossil energy in China based on sustainable development

Exploring the Coupling and Decoupling Relationships between Urbanization Quality and Water Resources Constraint Intensity: Spatiotemporal Analysis for Northwest China

Uncovering CO2 Emissions Patterns from China-Oriented International Maritime Transport: Decomposition and Decoupling Analysis

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