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Impact of socio-economic characteristics on energy consumption behaviors of suburban rural residents: evidence from on-site surveys in the Guanzhong Plain of China
[Occupant behavior and robustness of building design]

Author

Listed:
  • Xiaojun Liu
  • Min Zhang
  • Xi Luo
  • Peng Wang
  • Ting Mu
  • Hui Ming
  • Deze Hu
  • Tianliang Zhao
  • Yanzi Yang

Abstract

Traditionally, residents in rural areas of Guanzhong Plain used to burn bulk coal for cooking and space heating, creating serious environmental challenges. With the stable development of rural economy in China, more and more rural residents have begun to adopt clean and green energy consumption mode, starting from suburban rural areas. Therefore, the energy consumption behaviors of residents in suburban rural areas exhibit the dual characteristics of urban and rural energy consumption. This study conducted an on-site survey of energy consumption behaviors of residents and their influencing factors in typical suburban rural areas in the Guanzhong Plain. A total of 554 valid questionnaires were obtained in this investigation, which were used to assess the behaviors and habits of local residents with respect to different energy consumption activities, such as cooking, space cooling/heating, laundry, etc. The results showed that the energy consumption behaviors of residents in investigated suburban rural areas were different from either traditional Chinese rural areas or typical Chinese urban areas, in terms of energy type and usage habits. The two most significant household characteristics affecting energy consumption behavior are income level and family structure.

Suggested Citation

  • Xiaojun Liu & Min Zhang & Xi Luo & Peng Wang & Ting Mu & Hui Ming & Deze Hu & Tianliang Zhao & Yanzi Yang, 2022. "Impact of socio-economic characteristics on energy consumption behaviors of suburban rural residents: evidence from on-site surveys in the Guanzhong Plain of China [Occupant behavior and robustness," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 38-57.
    • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:38-57.
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    References listed on IDEAS

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    1. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    2. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    3. 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.
    4. Ma, Ben & Yu, Yihua & Urban, Frauke, 2018. "Green transition of energy systems in rural China: National survey evidence of households’ discrete choices on water heaters," Energy Policy, Elsevier, vol. 113(C), pages 559-570.
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