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Does environmental concern fail to predict energy-saving behavior? A study on the office energy-saving behavior of employees of Chinese Internet companies

Author

Listed:
  • Xingjun Ru

    (Hangzhou Dianzi University)

  • Min Chen

    (Zhejiang Financial College)

  • Shanyong Wang

    (School of Public Affairs, University of Science and Technology of China)

  • Zhenling Chen

    (Beijing Technology and Business University)

Abstract

While environmental concern is generally viewed as a straightforward precursor to pro-environmental behavior (PEB), empirical research supporting this association has been mixed at best. The energy-saving behavior of employees in the workplace contributes to the reduction of air pollution and carbon emissions, and there is basically no need to consider individual utilitarian factors in PEB-related research. Therefore, this study investigates the direct and indirect effects of environmental concerns on employees’ behavioral intentions to save energy in the offices of Chinese Internet companies to better understand the inconsistent results found for environmental concern and PEB. A study of a sample of 364 employees in three Chinese developed cities shows that perceived behavioral control has the greatest direct impact on employees’ energy-saving behavior in offices, followed by energy-saving attitudes, personal moral norm and subjective descriptive norms. The direct effects of environmental concern and subjective injunctive norms on behavioral intentions to save energy were found to be small. However, environmental concern, as an antecedent variable to the above elements, can have a significant impact on employees’ office energy-saving behaviors through the mediating role of these elements, thus rendering employees’ environmental concern deserving of more attention. This study enhances understanding of employees’ energy-saving behaviors in the workplace and provides several insights for researchers and practitioners.

Suggested Citation

  • Xingjun Ru & Min Chen & Shanyong Wang & Zhenling Chen, 2022. "Does environmental concern fail to predict energy-saving behavior? A study on the office energy-saving behavior of employees of Chinese Internet companies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12691-12711, November.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:11:d:10.1007_s10668-021-01960-6
    DOI: 10.1007/s10668-021-01960-6
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    References listed on IDEAS

    as
    1. Lizin, Sebastien & Van Dael, Miet & Van Passel, Steven, 2017. "Battery pack recycling: Behaviour change interventions derived from an integrative theory of planned behaviour study," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 66-82.
    2. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    3. McAndrew, Ryan & Mulcahy, Rory & Gordon, Ross & Russell-Bennett, Rebekah, 2021. "Household energy efficiency interventions: A systematic literature review," Energy Policy, Elsevier, vol. 150(C).
    4. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    5. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Kaveh Ostad-Ali-Askari & Mohammad Shayannejad, 2021. "Quantity and quality modelling of groundwater to manage water resources in Isfahan-Borkhar Aquifer," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 15943-15959, November.
    8. Wang, Bo & Wang, Xiaomeng & Guo, Dongxue & Zhang, Bin & Wang, Zhaohua, 2018. "Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism?," Energy Policy, Elsevier, vol. 116(C), pages 68-77.
    9. Mi, Lingyun & Xu, Ting & Sun, Yuhuan & Yang, Hang & Wang, Bangjun & Gan, Xiaoli & Qiao, Lijie, 2021. "Promoting differentiated energy savings: Analysis of the psychological motivation of households with different energy consumption levels," Energy, Elsevier, vol. 218(C).
    10. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    11. Newton, Joshua D. & Tsarenko, Yelena & Ferraro, Carla & Sands, Sean, 2015. "Environmental concern and environmental purchase intentions: The mediating role of learning strategy," Journal of Business Research, Elsevier, vol. 68(9), pages 1974-1981.
    12. Jakučionytė-Skodienė, Miglė & Dagiliūtė, Renata & Liobikienė, Genovaitė, 2020. "Do general pro-environmental behaviour, attitude, and knowledge contribute to energy savings and climate change mitigation in the residential sector?," Energy, Elsevier, vol. 193(C).
    13. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
    14. He, Zhiyuan & Hong, Tianzhen & Chou, S.K., 2021. "A framework for estimating the energy-saving potential of occupant behaviour improvement," Applied Energy, Elsevier, vol. 287(C).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Ahuja, Jaya & Puppala, Harish, 2024. "Workplace energy conservation index (WECI): A tool for attaining energy conservation at workplace," Energy, Elsevier, vol. 286(C).
    3. Lin, Boqiang & Lan, Tianxu, 2023. "Progress of increasing-block electricity pricing policy implementation in China's first-tier cities and the impact of resident policy perception," Energy Policy, Elsevier, vol. 177(C).

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