Factors influencing CO2 emissions in China's power industry: Co-integration analysis

Zhao, Xiaoli; Ma, Qian; Yang, Rui

doi:10.1016/j.enpol.2012.11.037

Cited by 114 publications

(46 citation statements)

References 32 publications

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“…The role of economic activity on CO 2 emissions is manifest, which is consistent with many previous studies (Naes and Mevik, 2001;Zhang et al, 2012;Zhao et al, 2012). The changes of CO 2 emissions from power sector stem from the sheer magnitude of China's economic growth since the electricity demand and hence the CO 2 emissions are linked to the economic growth rate.…”

Section: Absolute Contribution Analysis For Five Factorssupporting

confidence: 77%

Regional characteristics of CO<SUB align="right">2 emissions from China's power generation: affinity propagation and refined Laspeyres decomposition

Sun

Chen

2017

IJGW

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Abstract:The Chinese power sector plays a vital role in national emissions reduction goal due to its large contribution to overall emissions. This paper explores the regional similarities and disparities of power generation emissions among 30 provinces. First, the affinity propagation (AP) algorithm is applied to find the similar characteristics in emissions among 30 provinces. The clustering results of CO 2 emissions indicate that the 30 provinces are divided into five clusters in 1997 and seven clusters in 2012 based on four indicators (generation structure, energy intensity, GDP per capita and electricity intensity). Then, the regional differences in driving forces on CO 2 emissions from power industry are examined using refined Laspeyres decomposition model. Results showed that there are significant contribution differences of five indicators (power generation emission coefficient, generation structure, electricity intensity, economy and population) on power generation emissions among different provinces. The provincial emissions reduction target and supporting policies for power industry should be customised and consistent with the actual situations considering the similarity and differences in emission characteristics.

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Section: Absolute Contribution Analysis For Five Factorssupporting

confidence: 77%

Regional characteristics of CO<SUB align="right">2 emissions from China's power generation: affinity propagation and refined Laspeyres decomposition

Sun

Chen

2017

IJGW

View full text Add to dashboard Cite

show abstract

“…Comprehensive literature, the main measuring and calculating methods of CO 2 emissions are the material balance method, the actual measurement method, and the model estimation method [14][15][16]. The main analyzing methods of driving factors for CO 2 emissions are decomposition analysis (DA), environmental Kuznets curve (EKC), and the metrological method [17][18][19]. These methods have different characteristics and applicabilities.…”

Section: Literature Reviewmentioning

confidence: 99%

CO2 Emissions from the Power Industry in the China’s Beijing-Tianjin-Hebei Region: Decomposition and Policy Analysis

Zhang¹,

Mi²,

Zhang³

2017

Pol. J. Environ. Stud.

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Based on the energy consumption data of power industry in the Beijing-Tianjin-Hebei region from 1995 to 2014, our paper first estimated CO 2 emissions using the IPCC carbon accounting methods. Then, starting from the perspective of the power industry chain -including power generation, transmission, and final consumption -we established the hierarchical LMDI decomposition model; decomposed driving factors of CO 2 emissions into effects of fuel mix; the coal consumption rate; power generation structure; the ratio of power generation to consumption, transmission, and distribution losses; production sectors' electricity intensity; industrial structure; household electricity intensity; economic scale; and population size. Results show that: 1. During 1995-2014, CO 2 emissions of power industry in the Beijing-Tianjin-Hebei region developed in fluctuation and showed a rising trend in general, with annual average growth rate of 5.93%. 2. The factors that drive the growth of CO 2 emissions from the power industry in the Beijing-Tianjin-Hebei region are, in order, economic scale, population size, transmission and distribution losses, and industrial structure, with a contribution rate of 150.70%, 20.80%, 8.86%, and 8.83%. The factors that drive CO 2 emissions reduction are production sectors' electricity intensity, the coal consumption rate, the ratio of electricity generation and consumption, household electricity intensity, power generation structure, and fuel mix, with a contribution rate of -45.97%, -22.38%, -19.41%, -0.62%, -0.49%, and -0.32%, respectively.

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“…The literature has highlighted that power demand has an impact on carbon dioxide emissions (Declercq et al 2011;Zhao et al 2013). We used power capacity to measure this.…”

Section: The Modelmentioning

confidence: 99%

China's New Sources of Economic Growth: Vol. 1. Reform, Resources and Climate Change

Song¹,

Garnaut²,

Cai³

et al. 2016

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Factors influencing CO2 emissions in China's power industry: Co-integration analysis

Cited by 114 publications

References 32 publications

Regional characteristics of CO<SUB align="right">2 emissions from China's power generation: affinity propagation and refined Laspeyres decomposition

Regional characteristics of CO<SUB align="right">2 emissions from China's power generation: affinity propagation and refined Laspeyres decomposition

CO2 Emissions from the Power Industry in the China’s Beijing-Tianjin-Hebei Region: Decomposition and Policy Analysis

China's New Sources of Economic Growth: Vol. 1. Reform, Resources and Climate Change

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