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Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing China

Author

Listed:
  • Zhaohua Wang
  • Bin Zhang
  • Jianhua Yin
  • Yixiang Zhang

Abstract

This research sets out to explore the possibilities for further saving in household electricity consumption through a study of the residents' willingness and behavioural characteristics in electricity saving, as applied within a Chinese context. Based on an extensive literature review, the authors argue that economic benefits, policy and social norms, and past experience may have a positive correlation with household electricity-saving behaviour, while the discomfort caused by electricity-saving activities, may exert a negative effect on it. Through a sample of 816 randomly selected residents in Beijing, the propositions are examined using logit regression analysis. The conclusions support the ideas, concerning both the positive influence of economic benefits, policy and social norms, and past experience as they affect broader electricity-saving behaviour, and the negative influence of the discomfort caused by electricity-saving activities. Finally, some inferences are drawn, and suggestions are offered for policy makers and further studies.

Suggested Citation

  • Zhaohua Wang & Bin Zhang & Jianhua Yin & Yixiang Zhang, 2010. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing China," CEEP-BIT Working Papers 13, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    • Handle: RePEc:biw:wpaper:13
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    File URL: http://ceep.bit.edu.cn/docs/2018-10/20181011134419862656.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Electricity-saving; Household behavior; Policy Implication;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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