Analysis of rural residential commercial energy consumption in China

Zhang, Ming; Guo, Fangyan

doi:10.1016/j.energy.2013.01.039

Cited by 88 publications

(32 citation statements)

References 23 publications

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“…Many studies have used LMDI to identify driving forces of energy consumption (Ma and Stern, 2008;Ou et al, 2007;Zhang and Guo, 2013) and carbon emission changes Kang et al, 2014;Wang et al, 2013a,b). These studies concluded that LMDI analysis can provide important policy insights.…”

Section: Decomposition Analysismentioning

confidence: 98%

Trend and driving forces of Beijing's black carbon emissions from sectoral perspectives

Meng

Liu

Guo

et al. 2016

Journal of Cleaner Production

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Section: Decomposition Analysismentioning

confidence: 98%

Trend and driving forces of Beijing's black carbon emissions from sectoral perspectives

Meng

Liu

Guo

et al. 2016

Journal of Cleaner Production

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“…Most of them focused on family income's influence on residential energy and electricity consumption [1][2][3][4][5][6][7][8][9][10][11][12]. The results of these studies suggested that family income was the major influencing factor of household energy consumption.…”

Section: （%）mentioning

confidence: 87%

Income, Consumption Tendency and Per Capital Electricity Consumption in the Age of China' Urbanization

Wen¹,

Chong-huai²,

Yao³

et al. 2017

Proceedings of the 3rd 2017 International Conference on Sustainable Development (ICSD 2017)

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Abstract. The rapid development of urbanization in China is coupled with the increase in per capital electricity consumption. This study focuses on the impacts of residents' income change and consumption tendency change on per capital electricity consumption in the process of urbanization in China. In this paper, LMDI method is used to analyze each factor's impact on per capital electricity consumption in the process of urbanization in China. The results show that income effect is the major determinant of per capital electricity consumption which is followed by population structure effect and electricity consumption effect; income effect in the urban regions is more than that in the rural regions; electricity consumption tendency effect in the rural regions is more than that in the urban regions.

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“…At present, research has been largely focused on the building energy consumption in large cities and rural areas, the information of household energy consumption in small town is lacking [8][9][10][11][12][13][14]. Only a few small-scale surveys conducted many years ago were available to provide historical data of energy consumption in some small towns [15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 98%

Situations and challenges of household energy consumption in Chinese small towns

Chen

Yang

2015

Energy and Buildings

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Analysis of rural residential commercial energy consumption in China

Cited by 88 publications

References 23 publications

Trend and driving forces of Beijing's black carbon emissions from sectoral perspectives

Trend and driving forces of Beijing's black carbon emissions from sectoral perspectives

Income, Consumption Tendency and Per Capital Electricity Consumption in the Age of China' Urbanization

Situations and challenges of household energy consumption in Chinese small towns

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