Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China

Jiang, Xue-Ting; Su, Min; Li, Rongrong

doi:10.3390/su10093251

Cited by 14 publications

(8 citation statements)

References 50 publications

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“…The outcomes of their study indicated that, overall, China’s transportation industry is moving away from decoupling, with negative decoupling or non-decoupling observed during the study. Following Jiang, Su and Li 100 applied LMDI and decomposition stability index to investigate the decomposition mechanism of carbon emissions from China’s electric sector. Their results suggested that the electric output effect is vital in rising CO 2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Decoupling mechanism of industry carbon emissions, carbon intensity and economic growth in Pakistan

Iqbal

Tang

Jahangir

et al. 2023

Indoor and Built Environment

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The study examined the decoupling relationship between industry carbon emissions and economic growth using the most current updated data. We collected data from the industry sector of Pakistan from 1991 to 2018. This study used two techniques, Tapio’s elasticity and fluctuation index, to test the decoupling relationship and the relationship’s stability between industry carbon emissions and economic growth. First, we analyzed the decoupling relationship between industry carbon emissions and economic growth in Pakistan using Tapio’s decoupling model, decoupling the elasticity of technology, scale and structure. Second, the decoupling volatility index was used to determine the stability of the technology, scale and structure elasticity. The Tapio decoupling elasticity technique results confirmed the significant relationship between industry CO2 emissions, economic growth and added value comes out to be a simple feature of each stage and undergoes expansive negative and strong decoupling processes. The outcomes of elastically decoupled volatility indexes suggest that three out of four indices are high, indicating unstable decoupling conditions. This study concludes that growth and volatility were the crucial characteristics of industrial carbon emissions during 1991–2018. Hence, the industry’s carbon emissions were increased from 16.67 million tons in 1991 to 55.70 million tons in 2018, an average yearly growth of 4.56%.

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Section: Literature Reviewmentioning

confidence: 99%

Decoupling mechanism of industry carbon emissions, carbon intensity and economic growth in Pakistan

Iqbal

Tang

Jahangir

et al. 2023

Indoor and Built Environment

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“…where, E indirect is indirect carbon emission; S i represents energy consumption converted into standard coal in domestic, industrial and transportation sectors; Y i represents the carbon emission coefficient corresponding to each energy source. Referring to the relevant literature, the coefficient is 0.67 in this study [25]. After the carbon emissions of construction land in Zhuhai are calculated, the total carbon emissions will be allocated to each cluster according to the proportion of living, industrial and road land area in the whole city.…”

Section: Measurement Of Carbon Emission Indexmentioning

confidence: 99%

The Association between Carbon Emission and Urban Spatial Form—A Study of Zhuhai, China

Zhang

Gong³

2023

Land

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Research on carbon emission is an important basis for solving global climate problems, and it is also one of the ways to quantitatively assess the impact of human activities. Cities are one of the main bearing spaces of human activities, and reasonable urban form is conducive to reducing energy consumption in human activities. This paper takes 50 clusters within Zhuhai, China, as the research object, quantifies the landscape spatial form index and social spatial form index of each cluster and establishes the index set of urban spatial form, so as to analyze the influence of different urban spatial form index on carbon emission. The main conclusions are as follows: (1) From the spatial distribution of each index, the urban cluster size and residential building area of each cluster in Zhuhai are generally large, and the distribution is basically consistent with that of densely populated areas. The urban clusters with high dominance are mainly located in the main urban area of Xiangzhou District, and the urban compactness, dispersion and industrial building area are generally high in the west and low in the east. (2) The size of urban clusters, industrial building area and residential building area have a strong promoting effect on carbon emission, while the compactness, dispersion and dominance of urban clusters have a strong inhibiting effect on carbon emission. (3) Based on the above conclusions, the low-carbon urban spatial form optimization strategy should be proposed from three aspects: urban development boundary control, promoting industrial structure transformation and compact urban development.

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“…In terms of models, most scholars take economy or income, population, energy consumption intensity, fuel structure, carbon emission intensity, energy structure and industrial structure as factors influencing the change of carbon emissions in the power industry [14], [15], [16], [17], [18]. Most scholars have generally proved that socioeconomic factors such as economic development and population growth are the main driving factors of carbon emissions in the power industry, while energy factors such as energy structure can inhibit carbon emissions [19,20]. For example, Li et al [19] show that the main factors affecting carbon emissions in public buildings in Henan Province were identified as the urbanization rate, public floor area per capita, and energy intensity per unit of public floor area.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Li et al [19] show that the main factors affecting carbon emissions in public buildings in Henan Province were identified as the urbanization rate, public floor area per capita, and energy intensity per unit of public floor area. Jiang et al [20] applied the electricity elasticity of carbon emissions to a decoupling index. The findings indicate that the electric output effect exerted the most substantial influence on the rise of CO2 emissions within China's electric sector.…”

Section: Introductionmentioning

confidence: 99%

Decomposition of carbon emission factors in china's power industry: considering transmission and distribution

Wang,

Cheng,

Wang

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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With the proposal of achieving the "3060" targets in China, as well as the demand to advance the construction of a newtype power system, a profound analysis of the driving factors behind carbon emissions in the power industry holds significant strategic importance for China. This study comprehensively employs the LMDI to investigate the impact of various factors, including carbon intensity, thermal power fuel consumption structure, thermal power generation efficiency, energy structure, power dispatch, transmission and distribution losses, electricity consumption-economic intensity, economic development, and population density, on carbon emissions in China's power industry and 30 provincial regions from 2005 to 2020. The results reveal the following findings: (1) Economic development level emerges as the primary driving force behind carbon emissions growth, followed by population density. Thermal power fuel consumption structure, thermal power generation efficiency, and electricity consumption-economic intensity play crucial roles in curbing carbon emissions growth. (2) Energy structure, power dispatch, and transmission and distribution losses contribute to restraining carbon emissions growth. (3) Population density acts as a suppressor of carbon emissions growth in provinces with continuous outflow of population. In contrast, electricity consumption-economic intensity and thermal power generation efficiency act as promoters of carbon emissions growth in provinces with dominant heavy industries. The influence of power dispatch and transmission and distribution losses on carbon emissions varies significantly among different provinces. Finally, this study provides policy recommendations for carbon emission reduction efforts. This study contributes to the formulation of more effective emission reduction strategies by the government and relevant authorities.

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Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China

Cited by 14 publications

References 50 publications

Decoupling mechanism of industry carbon emissions, carbon intensity and economic growth in Pakistan

Decoupling mechanism of industry carbon emissions, carbon intensity and economic growth in Pakistan

The Association between Carbon Emission and Urban Spatial Form—A Study of Zhuhai, China

Decomposition of carbon emission factors in china's power industry: considering transmission and distribution

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