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Energy consumption, energy efficiency, and consumer perceptions: A case study for the Southeast United States

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  • Craig, Christopher A.

Abstract

This study examined the interaction between climatic variability and residential electricity consumption in a Southeast US state. Residential electricity consumers were surveyed to better understand how to diffuse positive attitudes and behaviors related to energy efficiency (EE) into households. The study found that 16.8% of the variability in residential electricity consumption for heating applications was explained by indirect EE costs. 36.6% of the variability in residential electricity consumption for cooling applications was explained by indirect EE costs and cooling degree days (CDD). A survey of 2450 residential electricity consumers was analyzed using the theory of planned behavior (TPB). Significant findings suggest that those residents are aware of utility EE programs are more likely to participate, view utility company motives more favorably, to support governmental subsidies for EE programs, and to support the use of clean energy by utility companies.

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  • Craig, Christopher A., 2016. "Energy consumption, energy efficiency, and consumer perceptions: A case study for the Southeast United States," Applied Energy, Elsevier, vol. 165(C), pages 660-669.
    • Handle: RePEc:eee:appene:v:165:y:2016:i:c:p:660-669
    DOI: 10.1016/j.apenergy.2015.12.069
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    Cited by:

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    3. Craig, Christopher A. & Feng, Song, 2017. "Exploring utility organization electricity generation, residential electricity consumption, and energy efficiency: A climatic approach," Applied Energy, Elsevier, vol. 185(P1), pages 779-790.
    4. Reames, Tony G. & Reiner, Michael A. & Stacey, M. Ben, 2018. "An incandescent truth: Disparities in energy-efficient lighting availability and prices in an urban U.S. county," Applied Energy, Elsevier, vol. 218(C), pages 95-103.
    5. Pui, Kiew Ling & Othman, Jamal, 2019. "The influence of economic, technical, and social aspects on energy-associated CO2 emissions in Malaysia: An extended Kaya identity approach," Energy, Elsevier, vol. 181(C), pages 468-493.
    6. Jinpeng Liu & Hao Yang & Delin Wei & Xiaohua Song, 2021. "Time Distribution Simulation of Household Power Load Based on Travel Chains and Monte Carlo–A Study of Beijing in Summer," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    7. Balta-Ozkan, Nazmiye & Le Gallo, Julie, 2018. "Spatial variation in energy attitudes and perceptions: Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2160-2180.
    8. Anna Claudelin & Ville Uusitalo & Sanna Pekkola & Maija Leino & Suvi Konsti-Laakso, 2017. "The Role of Consumers in the Transition toward Low-Carbon Living," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    9. Wilson, C. & Pettifor, H. & Chryssochoidis, G., 2018. "Quantitative modelling of why and how homeowners decide to renovate energy efficiently," Applied Energy, Elsevier, vol. 212(C), pages 1333-1344.
    10. Myria W. Allen & Christopher A. Craig, 2016. "Rethinking corporate social responsibility in the age of climate change: a communication perspective," International Journal of Corporate Social Responsibility, Springer, vol. 1(1), pages 1-11, December.
    11. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    12. Craig, Christopher A. & Feng, Song, 2016. "An examination of electricity generation by utility organizations in the Southeast United States," Energy, Elsevier, vol. 116(P1), pages 601-608.

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