Decoupling Analysis of China’s Product Sector Output and Its Embodied Carbon Emissions—An Empirical Study Based on Non-Competitive I-O and Tapio Decoupling Model

Hu, Jianbo; Gui, Shanshan; Zhang, Wei

doi:10.3390/su9050815

Cited by 15 publications

(9 citation statements)

References 36 publications

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“…Bloch et al [24] examined the relationship between coal consumption and economic growth in China from the perspective of both the supply and demand sides, and argued that there is a unidirectional causality between coal consumption and income both in the short and long run. The third aspect involves employing the OECD decoupling index and elastic decoupling model to analyze the dependence of economic growth on energy consumption [18,26,27]. Tapio [27] put forward a new theoretical framework for decoupling, and further broke the decoupling index down into eight kinds of decoupling states in order to investigate the decoupling relationship between GDP, traffic volumes, and CO 2 emissions of the transport sector in the EU15 countries between 1970 and 2001.…”

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confidence: 99%

Decomposition Analysis of Energy-Related CO2 Emissions and Decoupling Status in China’s Logistics Industry

2018

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The logistics industry is one of the major fossil energy consumers and CO 2 emitters in China, which plays an important role in achieving sustainable development as well as China's emission reduction targets. To identify the key influencing factors regarding the logistics of CO 2 reductions and ensure that the development of China's logistics industry becomes less dependent on CO 2 emissions, this paper built an extended log-mean Divisia index model (LMDI) to decompose the logistics of CO 2 changes between 1985 and 2015. Then, we introduced a decoupling model that combined the decomposition results to analyze the decoupling state and identify the main factors that influenced the decoupling relationship. The results show the following. (1) The urbanization effect was the decisive factor in CO 2 emissions increases, followed by structural adjustment effects, while technological progress effects played a major role in inhibiting CO 2 emissions. Particularly, the energy structure showed great potential for CO 2 emissions reduction in China.(2) Highways appeared to have dominant promoting roles in increasing CO 2 emissions regarding transportation structure effects; highways and aviation proved to have the largest impact on CO 2 emission reduction. (3) There has been an increase in the number of expansive negative decoupling states between 2005 and 2015, which implies that the development of the logistics industry has become more dependent on CO 2 emissions. Finally, this paper puts forward some policy implications for CO 2 emission reductions in China's logistics industry.

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confidence: 99%

Decomposition Analysis of Energy-Related CO2 Emissions and Decoupling Status in China’s Logistics Industry

2018

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“…Decoupling analysis refers to the construction method of Tapio decoupling index [14][15][16] to construct the decouple the model of water resource consumption in the TI, and the formula is:…”

Section: Tapio Decoupling Modelmentioning

confidence: 99%

Dynamic Response Analysis Among Environmental Regulation, Technological Progress and Water Resource Consumption in China’s Textile Industry

Wang

Ding

et al. 2020

Pol. J. Environ. Stud.

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The rapid development of the textile industry (TI) has led to serious water resource consumption. Driven by the demands of the green economy, improving the comprehensive management level of water scientifically and measuring the relationships among environmental regulations, technological progress and water resource consumption rationally in the TI are necessary in order to solve the water resource consumption problem and promote the transformation and upgrading the TI. We used decoupling theory to quantitatively analyze the decoupling relationship among environmental regulation, technological progress and water resource consumption from 2002 to 2015 in China's TI. We also constructed the dynamic response vector autoregressive model of China's industrial water source consumption to study the internal dynamic correlation from the perspective of time series. Analysis showed that the decoupling between water resource consumption and environmental regulation in the TI was

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“…Xu et al decomposed the changes of China's energy-related air pollutant (NOx, PM 2.5 , and SO 2 ) emissions into various factors by structural decomposition analysis (SDA) [21]. Hu et al calculated the carbon emissions from each fuel and tested the contributions of each factor to carbon emissions in Chongqing after taking the sector differences into consideration [22]. Wang et al uncovered the drivers of decoupling between economic growth and carbon emissions in Chinese industry [23].…”

Section: Introductionmentioning

confidence: 99%

“…Lin and Liu investigated the CO 2 emissions of the heavy industry via decomposing the decoupling index model [30]. Hu et al applied the Tapio decoupling model to identify the drivers of carbon emissions from China's product sector [22]. Zhang et al analyzed the decoupling state and determined the main factors that influenced the decoupling relationship by combining a decoupling model with the decomposition method [31].…”

Section: Introductionmentioning

confidence: 99%

Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China

Jiang

2018

Sustainability

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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.

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Decoupling Analysis of China’s Product Sector Output and Its Embodied Carbon Emissions—An Empirical Study Based on Non-Competitive I-O and Tapio Decoupling Model

Cited by 15 publications

References 36 publications

Decomposition Analysis of Energy-Related CO2 Emissions and Decoupling Status in China’s Logistics Industry

Decomposition Analysis of Energy-Related CO2 Emissions and Decoupling Status in China’s Logistics Industry

Dynamic Response Analysis Among Environmental Regulation, Technological Progress and Water Resource Consumption in China’s Textile Industry

Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China

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