2016
DOI: 10.1016/j.rser.2015.08.043
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Study on affecting factors of residential energy consumption in urban and rural Jiangsu

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Cited by 103 publications
(37 citation statements)
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“…In China, extensive studies on rural energy consumption have been conducted in several aspects. One branch of them is engaged to describe the characteristics of rural energy consumption on regional differences, changing of energy structure, energy consumption of end-use, and affecting factors at the county level or in key provinces and regions [20][21][22]. Several studies focus on cooking fuel choice based on micro-survey data due to its high percentage of total energy consumption [23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…In China, extensive studies on rural energy consumption have been conducted in several aspects. One branch of them is engaged to describe the characteristics of rural energy consumption on regional differences, changing of energy structure, energy consumption of end-use, and affecting factors at the county level or in key provinces and regions [20][21][22]. Several studies focus on cooking fuel choice based on micro-survey data due to its high percentage of total energy consumption [23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, households started to rely more heavily on interregional trade of final goods and services to meet their consumption demands. Based on this multi-regional and multi-angle study, we provide some regional-specific policies that would help curb household energy demand and promote sustainable consumption in China.Li and Li [7] have shown that energy efficiency per unit of space has been important in decreasing urban residential energy consumption, while population growth and floor areas rises have pushed up urban residential energy consumption.Structural decomposition analysis (SDA), which uses input-output (I-O) tables, also has been frequently used by researchers to identify proximate forces of change in energy use and CO 2 emission by industries [9]. Compared to IDA, SDA can account simultaneously for both the supply and demand side effects, as well as distinguishing between direct and indirect effects through the supply chains [9][10][11][12][13][14][15][16][17].…”
mentioning
confidence: 99%
“…However, energy consumption per capita increased by 89.21% during the same period. A study on Jiangsu Province [25] revealed that during 1995-2011, the increasing space energy efficiency effect and floor area were the main factors influencing energy demand growth in rural households.…”
Section: Introductionmentioning
confidence: 99%