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Carbon emissions from China’s electricity sector account for about one-seventh of the global carbon dioxide emissions, or half of China’s carbon dioxide emissions. A better understanding of the relationship between CO2 emissions and electric output would help develop and adjust carbon emission mitigation strategies for China’s electricity sector. Thus, we applied the electricity elasticity of carbon emissions to a decoupling index that we combined with advanced multilevel Logarithmic Mean Divisia Index tools in order to test the carbon emission response to the electric output and the main drivers. Then, we proposed a comparative decoupling stability analysis method. The results show that the electric output effect played the most significant role in increasing CO2 emissions from China’s electric sector. Also, “relative decoupling” was the main state during the study period (1991–2012). Moreover, the electricity elasticity of CO2 emissions had a better performance regarding stability in the analysis of China’s electricity output.
Xue-Ting Jiang; Min Su; Rongrong Li. Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China. Sustainability 2018, 10, 3251 .
AMA StyleXue-Ting Jiang, Min Su, Rongrong Li. Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China. Sustainability. 2018; 10 (9):3251.
Chicago/Turabian StyleXue-Ting Jiang; Min Su; Rongrong Li. 2018. "Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China." Sustainability 10, no. 9: 3251.
With the boom of vehicles, especially the dramatic rise of private car ownership, in China, transport CO2 emission in China has surged. However, China has been taking the responsibility to cut down carbon emissions and to make positive efforts towards technology innovations in the transport sector. Breaking the link between transport carbon emissions and transport turnover capacity for the past decades should be analyzed. The paper tested the decoupling degree and ranked its potential determinants for every transport mode in consideration of specific transport mode characteristics. We extended the original Kaya identity to make the factor analysis more pertinent to the analysis of transport-related CO2 emissions. Besides, we combined the decomposition technique with decoupling analysis, decomposing the transport decoupling index into five distinct aspects to detect the key drivers of the decoupling of transport-related CO2 emissions from transport turnover volume. Moreover, we analyzed the relationship between transport-related CO2 emission and transport output, which also offers a novel perspective on transport and corresponding environmental research. The results uncovered that a weak decoupling state appeared between 1990–1995 and 2000–2010 in China’s transport sector. Transport energy efficiency exerted the most significant impact in accelerating the decoupling of transport-related CO2 emissions from turnover volume for all transport modes while the energy mix effect impeded the decoupling evolution in most observed periods. Railway transport turnover and rail locomotives shared rises boosted by decoupling evolution, while vehicular transport showed adverse effects. The rise of the transport facilities’ shares of railways, waterways, and airways also advanced the decoupling evolution. Hence, policies of switching travel modes and establishing a “smart growth” pattern for private vehicles should be considered.
Xue-Ting Jiang; Min Su; Rongrong Li. Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China. Sustainability 2018, 10, 3034 .
AMA StyleXue-Ting Jiang, Min Su, Rongrong Li. Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China. Sustainability. 2018; 10 (9):3034.
Chicago/Turabian StyleXue-Ting Jiang; Min Su; Rongrong Li. 2018. "Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China." Sustainability 10, no. 9: 3034.
The rapid growth of the electricity sector in the United States has been accompanied by a dramatic rise in CO2 emissions. To understand the driving effects that contribute to the increase in CO2 emissions during electricity generation, as well as the relationship between the emissions and electricity output, a novel decoupling index on the basis of the multilevel logarithmic mean divisia index (LMDI) method is presented in this paper. The results of our study indicate that, on the one hand, the electricity output effect played a crucial role in increasing CO2 emissions. On the other hand, the energy mix effect and the conversion efficiency effect made a contribution to curbing the related CO2 emissions in most of the years covered by our study. The power production structure effect and emission factor effect each played a negative role in the decoupling process. No decoupling was the main status during most of the years covered in our study, with a strong decoupling status being the least common state.
Xue-Ting Jiang; Rongrong Li. Decoupling and Decomposition Analysis of Carbon Emissions from Electric Output in the United States. Sustainability 2017, 9, 886 .
AMA StyleXue-Ting Jiang, Rongrong Li. Decoupling and Decomposition Analysis of Carbon Emissions from Electric Output in the United States. Sustainability. 2017; 9 (6):886.
Chicago/Turabian StyleXue-Ting Jiang; Rongrong Li. 2017. "Decoupling and Decomposition Analysis of Carbon Emissions from Electric Output in the United States." Sustainability 9, no. 6: 886.
Qiang Wang; Xue-Ting Jiang; Rongrong Li. Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China. Energy 2017, 127, 78 -88.
AMA StyleQiang Wang, Xue-Ting Jiang, Rongrong Li. Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China. Energy. 2017; 127 ():78-88.
Chicago/Turabian StyleQiang Wang; Xue-Ting Jiang; Rongrong Li. 2017. "Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China." Energy 127, no. : 78-88.