Decoupling and decomposition analysis of transportation carbon emissions at the provincial level in China: perspective from the 11th and 12th Five-Year Plan periods

Bai, Caiquan; Chen, Yibing; Yi, Xing; Feng, Chen

doi:10.1007/s11356-019-04774-2

Cited by 37 publications

(20 citation statements)

References 31 publications

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“…Comparatively, in Bai's [39] study, apart from the five decoupling states presented in this paper, there was also evidence for the strong negative decoupling state, which to some extent reflects the periodical characteristics of the transportation industry [39]. It is also noteworthy that the recessive decoupling state only appeared once in the measurement of this study (i.e., Liaoning in 2016), and it was also detected only once in the study of Bai et al [38] (i.e., Gansu in 2015). This similarity suggests that the state of recessive decoupling is indeed relatively rare in China.…”

Section: Decoupling Status Of 29 Provinces In Chinasupporting

confidence: 47%

“…It is noteworthy that Peng's [37] findings reflect that for his sample period of 1980-2008, no provinces had a high enough income level beyond the inflection point. In a recent study, Bai et al [38] used the panel data of Chinese provinces from 2006 to 2015 to calculate the carbon emissions decoupling index in the transportation sector. Consistent with the results of this research, their study also found that the decoupling state in the eastern region was significantly better than that in the central and western regions.…”

Section: Decoupling Status Of 29 Provinces In Chinamentioning

confidence: 99%

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Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Hao

Huang

2019

Energies

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Global warming has emerged as a serious threat to humans and sustainable development. China is under increasing pressure to curb its carbon emissions as the world’s largest emitter of carbon dioxide. By combining the Tapio decoupling model and the environmental Kuznets curve (EKC) framework, this paper explores the relationship between China’s carbon emissions and economic growth. Based on panel data of 29 provinces from 2007 to 2016, this paper quantitatively estimates the nexus of carbon emissions and economic development for the whole nation and the decoupling status of individual provinces. There is empirical evidence for the conventional EKC hypothesis, showing that the relationship between carbon emissions and per capita gross domestic product (GDP) is an inverted U shape and that the inflection point will not be attained soon. Moreover, following the estimation results of the Tapio decoupling model, there were significant differences between individual provinces in decoupling status. As a result, differentiated and targeted environmental regulations and policies regarding energy consumption and carbon emissions should be reasonably formulated for different provinces and regions based on the corresponding level of economic development and decoupling status.

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Section: Decoupling Status Of 29 Provinces In Chinasupporting

confidence: 47%

Section: Decoupling Status Of 29 Provinces In Chinamentioning

confidence: 99%

Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Hao

Huang

2019

Energies

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“…The existing research found that the capital stocks and energy consumption in the logistics industry are the main sources of carbon emissions, which increase the CO 2 emissions [ 4 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ]. The factors that reduce the CO 2 emissions are adjustments to the energy structure and reductions of the carbon emissions intensity [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ]. Additionally, the logistics industry is characterized by regional synergy and differentiation, therefore it is necessary to utilize local area advantages and optimize the layout of the logistics industry.…”

Section: Resultsmentioning

confidence: 99%

Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China

Jiang

Zhu

et al. 2020

IJERPH

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Carbon emissions from the logistics industry have been rising year after year. Correct handling of the relationship between economic development and environmental protection is of great significance to the implementation of green logistics, which is an important component of China’s strategy for strong transportation. This paper focuses on the evaluation of the carbon emissions efficiency of logistics industry from a new strong transportation strategy perspective. A super-efficiency slack-based measurement (Super-SBM) model and Malmquist index are combined to evaluate the static and dynamic carbon emissions efficiency of the logistics industry. The results indicate that compared with the SBM model, the Super-SBM model can more effectively measure the carbon emissions efficiency of the logistics industry. Pilot regions for the strong transportation strategy were divided into two categories, namely regions with slow carbon emission growth rates but high efficiency, and regions with high carbon emission growth rates but low efficiency. Some policy recommendations from the strong transportation strategy perspective were proposed to improve the carbon emissions efficiency of the logistics industry, especially for the second category of pilot regions. This study is expected to provide a basis for decision-making for efficient emissions reduction measures and policies, and to encourage the pilot regions to take the lead in achieving the goal of China’s strategy for transportation.

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“…Currently, China has no official organization to directly release the data on transportation carbon emissions. Therefore, scholars often employ the topdown and bottom-up approaches to calculate the transportation carbon emissions [35][36]. The bottom-up approach requires complete data.…”

Section: Data Sources and Regional Divisionmentioning

confidence: 99%

Spatial Non-Equilibrium and Its Solidification Effect of China’s Per Capita Transportation Carbon Emissions

Bai¹,

Kang²,

Wang³

2021

Pol. J. Environ. Stud.

Self Cite

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It is of great significance to understand the spatial non-equilibrium and the solidification degree of transportation carbon emissions, so that differentiated measures can be taken to reduce transportation carbon emissions. Based on China's provincial data from 2005 to 2015, this article uses the Dagum Gini coefficient to decompose the spatial non-equilibrium of per capita transportation carbon emissions from static viewpoint. The results indicate that the overall spatial non-equilibrium shows a significant downward trend; the intensity of transvariation has had an increased contribution rate year by year since 2008, and replaces the interregional differences as the main source of the overall spatial nonequilibrium. Next, Kernel density estimation is employed to analyze the evolution laws of spatial non-equilibrium from dynamic viewpoint. The results show that the per capita transportation carbon emissions in the eastern region are successively higher than those at the national level, and in other regions. Meanwhile, some provinces are concentrated at a low level, while others at a high level. Finally, Markov chains approach is applied to identify the solidification effect of the spatial non-equilibrium. The results indicate that the effect is obvious and the state transitions occur only between adjacent types. Moreover, the solidification effects of the provinces with higher per capita transportation carbon emissions are stronger than those provinces with a lower level.

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Decoupling and decomposition analysis of transportation carbon emissions at the provincial level in China: perspective from the 11th and 12th Five-Year Plan periods

Cited by 37 publications

References 31 publications

Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China

Spatial Non-Equilibrium and Its Solidification Effect of China’s Per Capita Transportation Carbon Emissions

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