IDEAS home Printed from
   My bibliography  Save this paper

Determinants and implications of employee electricity saving habit: An empirical study in China


  • Yixiang Zhang
  • Zhaohua Wang
  • Guanghui Zhou


Employees constitute a large target group for energy conservation. Companies that want to reduce their energy consumption should promote their employees' participation. For successful energy saving in companies, employees should save energy on a continued basis, and develop the habit of energy saving. Unfortunately, success in having employees continue to save energy in organization is difficult. Motivated by such concern, taking office workers as example, this study develops a model to explain employee electricity saving habit in organization. Determining factors are identified based on social exchange theory, norm activation model and literature on threat and harm. Data were collected through a survey of 211 office workers from 10 organizations in Northern China. Partial Least Square (PLS) path modeling was used to analyze the collected data. The results show that enjoyment, personal norm, image and perceived harm significantly influence employee energy saving habit in organization. While anticipated extrinsic benefit and perceived threat don't have significant impact. This paper contributes to the energy saving literature by studying employee energy saving habit in organization.

Suggested Citation

  • Yixiang Zhang & Zhaohua Wang & Guanghui Zhou, 2012. "Determinants and implications of employee electricity saving habit: An empirical study in China," CEEP-BIT Working Papers 35, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:35

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. Chae, Song Hwa & Kim, Sang Hun & Yoon, Sung-Geun & Park, Sunwon, 2010. "Optimization of a waste heat utilization network in an eco-industrial park," Applied Energy, Elsevier, vol. 87(6), pages 1978-1988, June.
    2. Liu, Xianbing & Niu, Dongjie & Bao, Cunkuan & Suk, Sunhee & Sudo, Kinichi, 2013. "Affordability of energy cost increases for companies due to market-based climate policies: A survey in Taicang, China," Applied Energy, Elsevier, vol. 102(C), pages 1464-1476.
    3. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    4. Bambawale, Malavika Jain & Sovacool, Benjamin K., 2011. "China's energy security: The perspective of energy users," Applied Energy, Elsevier, vol. 88(5), pages 1949-1956, May.
    5. Hu, Jin-Li & Lio, Mon-Chi & Yeh, Fang-Yu & Lin, Cheng-Hsun, 2011. "Environment-adjusted regional energy efficiency in Taiwan," Applied Energy, Elsevier, vol. 88(8), pages 2893-2899, August.
    6. Peter H. Gray & Darren B. Meister, 2004. "Knowledge Sourcing Effectiveness," Management Science, INFORMS, vol. 50(6), pages 821-834, June.
    7. Bai-Chen, Xie & Ying, Fan & Qian-Qian, Qu, 2012. "Does generation form influence environmental efficiency performance? An analysis of China’s power system," Applied Energy, Elsevier, vol. 96(C), pages 261-271.
    8. Constance Elise Porter & Naveen Donthu, 2008. "Cultivating Trust and Harvesting Value in Virtual Communities," Management Science, INFORMS, vol. 54(1), pages 113-128, January.
    9. Rudberg, Martin & Waldemarsson, Martin & Lidestam, Helene, 2013. "Strategic perspectives on energy management: A case study in the process industry," Applied Energy, Elsevier, vol. 104(C), pages 487-496.
    10. O'Doherty, Joe & Lyons, Sean & Tol, Richard S.J., 2008. "Energy-using appliances and energy-saving features: Determinants of ownership in Ireland," Applied Energy, Elsevier, vol. 85(7), pages 650-662, July.
    11. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    12. Rahman, M.M. & Rasul, M.G. & Khan, M.M.K., 2010. "Energy conservation measures in an institutional building in sub-tropical climate in Australia," Applied Energy, Elsevier, vol. 87(10), pages 2994-3004, October.
    13. Cagno, Enrico & Trianni, Andrea, 2013. "Exploring drivers for energy efficiency within small- and medium-sized enterprises: First evidences from Italian manufacturing enterprises," Applied Energy, Elsevier, vol. 104(C), pages 276-285.
    14. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    15. Manfren, Massimiliano & Aste, Niccolò & Moshksar, Reza, 2013. "Calibration and uncertainty analysis for computer models – A meta-model based approach for integrated building energy simulation," Applied Energy, Elsevier, vol. 103(C), pages 627-641.
    16. Thøgersen, John & Grønhøj, Alice, 2010. "Electricity saving in households--A social cognitive approach," Energy Policy, Elsevier, vol. 38(12), pages 7732-7743, December.
    17. Ek, Kristina & Söderholm, Patrik, 2010. "The devil is in the details: Household electricity saving behavior and the role of information," Energy Policy, Elsevier, vol. 38(3), pages 1578-1587, March.
    18. Desideri, Umberto & Leonardi, Daniela & Arcioni, Livia & Sdringola, Paolo, 2012. "European project Educa-RUE: An example of energy efficiency paths in educational buildings," Applied Energy, Elsevier, vol. 97(C), pages 384-395.
    19. Martinsson, Johan & Lundqvist, Lennart J. & Sundström, Aksel, 2011. "Energy saving in Swedish households. The (relative) importance of environmental attitudes," Energy Policy, Elsevier, vol. 39(9), pages 5182-5191, September.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Karim Khan & Anwar Shah & Jaffar Khan, 2016. "Electricity Consumption Patterns: Comparative Evidence from Pakistan’s Public and Private Sectors," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 21(1), pages 99-122, Jan-June.
    2. Wang, Shanyong & Lin, Shoufu & Li, Jun, 2018. "Exploring the effects of non-cognitive and emotional factors on household electricity saving behavior," Energy Policy, Elsevier, vol. 115(C), pages 171-180.
    3. Schall, Dominik L. & Mohnen, Alwine, 2017. "Incentivizing energy-efficient behavior at work: An empirical investigation using a natural field experiment on eco-driving," Applied Energy, Elsevier, vol. 185(P2), pages 1757-1768.
    4. Nataf, Kalen & Bradley, Thomas H., 2016. "An economic comparison of battery energy storage to conventional energy efficiency technologies in Colorado manufacturing facilities," Applied Energy, Elsevier, vol. 164(C), pages 133-139.

    More about this item


    Energy saving habit; social exchange theory; personal norm; perceived threat; perceived harm;

    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


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:biw:wpaper:35. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhi-Fu Mi). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.