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Sustainability 2016, 8(12), 1285; doi:10.3390/su8121285

Factors Influencing the Spatial Difference in Household Energy Consumption in China

1
College of Earth and Environmental Sciences, Lanzhou University, No. 222, Tianshui South Road, Lanzhou 730000, China
2
Key Laboratory of Western China’s Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou 730000, China
*
Author to whom correspondence should be addressed.
Academic Editor: Tomonobu Senjyu
Received: 10 October 2016 / Revised: 15 November 2016 / Accepted: 1 December 2016 / Published: 9 December 2016
(This article belongs to the Special Issue Sustainable Electric Power Systems Research)
View Full-Text   |   Download PDF [2117 KB, uploaded 9 December 2016]   |  

Abstract

What factors determine the spatial heterogeneity of household energy consumption (HEC) in China? Can the impacts of these factors be quantified? What are the trends and characteristics of the spatial differences? To date, these issues are still unclear. Based on the STIRPAT model and panel dataset for 30 provinces in China over the period 1997–2013, this paper investigated influences of the income per capita, urbanization level and annual average temperature on HEC, and revealed the spatial effects of these influencing factors. The results show that the income level is the main influencing factor, followed by the annual average temperature. There exists a diminishing marginal contribution with increasing income. The influence of urbanization level varies according to income level. In addition, from the eastern region to western region of China, variances largely depend upon economic level at the provincial level. From the northern region to southern region, change is mainly caused by temperature. The urbanization level has more significant impact on the structure and efficiency of household energy consumption than on its quantity. These results could provide reference for policy making and energy planning. View Full-Text
Keywords: household energy consumption; spatial difference; geographical factors; urbanization level; panel data model; STIRPAT model household energy consumption; spatial difference; geographical factors; urbanization level; panel data model; STIRPAT model
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Ding, Y.; Qu, W.; Niu, S.; Liang, M.; Qiang, W.; Hong, Z. Factors Influencing the Spatial Difference in Household Energy Consumption in China. Sustainability 2016, 8, 1285.

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