2019
DOI: 10.3390/su11174648
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What is Currently Driving the Growth of China’s Household Electricity Consumption? A Clustering and Decomposition Analysis

Abstract: The rapid growth of household electricity consumption is threatening the sustainable development of China’s economy and environment because of its impacts on the operation efficiency of the electric power system. To recognize the driving factors of the consumption growth and offer policy implications, based on the consumption-related data of 2015 and 2016, this research used the rank sum ratio (RSR) method to divide China’s 30 provinces into 5 groups and a logarithmic mean Divisia index (LMDI) algorithm to dec… Show more

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Cited by 5 publications
(8 citation statements)
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“…Electricity consumption in household sector is closely related to the proportion of electricity consumption, per capita energy consumption, and population size [32]. In view of this, this paper constructs the following decomposition model of electricity consumption in household sector: PC2=PC2EC2×EC2P×P=k×l×p2 where, k=PC2EC2l=EC2Pp2=P …”
Section: Methods and Data Sourcesmentioning
confidence: 99%
See 3 more Smart Citations
“…Electricity consumption in household sector is closely related to the proportion of electricity consumption, per capita energy consumption, and population size [32]. In view of this, this paper constructs the following decomposition model of electricity consumption in household sector: PC2=PC2EC2×EC2P×P=k×l×p2 where, k=PC2EC2l=EC2Pp2=P …”
Section: Methods and Data Sourcesmentioning
confidence: 99%
“…By using LMDI method, some previous studies have explored the drivers of electricity consumption from a national [25, 26], regional [27, 28], industrial [29, 30], or residential [31, 32] perspective. Wang et al.…”
Section: Introductionmentioning
confidence: 99%
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“…The growth of household electricity consumption impacts sustainable economic and environmental development. Climatic conditions have a tremendous impact on household electricity consumption and should be a significant consideration in making different household electricity policies (Meng et al, 2019).…”
Section: Introductionmentioning
confidence: 99%