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Self-Perception Based Strategies for Stimulating Energy Conservation

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  • Allen, Chris T

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  • Allen, Chris T, 1982. "Self-Perception Based Strategies for Stimulating Energy Conservation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 381-390, March.
    • Handle: RePEc:oup:jconrs:v:8:y:1982:i:4:p:381-90
    DOI: 10.1086/208878
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    Cited by:

    1. Higueras-Castillo, Elena & Liébana-Cabanillas, Francisco José & Muñoz-Leiva, Francisco & García-Maroto, Inmaculada, 2019. "Evaluating consumer attitudes toward electromobility and the moderating effect of perceived consumer effectiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 387-398.
    2. Lin, Wen & Nayga, Rodolfo M., 2022. "Green identity labeling, environmental information, and pro-environmental food choices," Food Policy, Elsevier, vol. 106(C).
    3. Lembregts, Christophe & Cadario, Romain, 2024. "Consumer-Driven Climate Mitigation: Exploring Barriers and Solutions in Studying Higher Mitigation Potential Behaviors," OSF Preprints ywus6, Center for Open Science.
    4. Vishnu Nath & Rupesh Kumar & Rajat Agrawal & Aditya Gautam & Vinay Sharma, 2013. "Consumer Adoption of Green Products: Modeling the Enablers," Global Business Review, International Management Institute, vol. 14(3), pages 453-470, September.
    5. Magdalena Jaciow & Edyta Rudawska & Adam Sagan & Jolanta Tkaczyk & Robert Wolny, 2022. "The Influence of Environmental Awareness on Responsible Energy Consumption—The Case of Households in Poland," Energies, MDPI, vol. 15(15), pages 1-15, July.
    6. Brianne Eby & Amanda R. Carrico & Heather Barnes Truelove, 2019. "The influence of environmental identity labeling on the uptake of pro-environmental behaviors," Climatic Change, Springer, vol. 155(4), pages 563-580, August.
    7. Claudia Arias & Carlos A. Trujillo, 2020. "Perceived Consumer Effectiveness as A Trigger of Behavioral Spillover Effects: A path towards Recycling," Sustainability, MDPI, vol. 12(11), pages 1-17, May.
    8. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    9. Troy Malatesta & Qilin Li & Jessica K. Breadsell & Christine Eon, 2023. "Distinguishing Household Groupings within a Precinct Based on Energy Usage Patterns Using Machine Learning Analysis," Energies, MDPI, vol. 16(10), pages 1-25, May.

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