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Factors Influencing the Spatial Difference in Household Energy Consumption in China

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  • Yongxia Ding

    (College of Earth and Environmental Sciences, Lanzhou University, No. 222, Tianshui South Road, Lanzhou 730000, China)

  • Wei Qu

    (College of Earth and Environmental Sciences, Lanzhou University, No. 222, Tianshui South Road, Lanzhou 730000, China)

  • Shuwen Niu

    (College of Earth and Environmental Sciences, Lanzhou University, No. 222, Tianshui South Road, Lanzhou 730000, China
    Key Laboratory of Western China’s Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou 730000, China)

  • Man Liang

    (College of Earth and Environmental Sciences, Lanzhou University, No. 222, Tianshui South Road, Lanzhou 730000, China)

  • Wenli Qiang

    (College of Earth and Environmental Sciences, Lanzhou University, No. 222, Tianshui South Road, Lanzhou 730000, China)

  • Zhenguo Hong

    (College of Earth and Environmental Sciences, Lanzhou University, No. 222, Tianshui South Road, Lanzhou 730000, China)

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.

Suggested Citation

  • Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1285-:d:84750
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