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Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19

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Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19. / Chen, Chien fei; Zarazua de Rubens, Gerardo; Xu, Xiaojing; Li, Jiayi.

In: Energy Research and Social Science, Vol. 68, 101688, 10.2020.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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Chen, Chien fei ; Zarazua de Rubens, Gerardo ; Xu, Xiaojing ; Li, Jiayi. / Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19. In: Energy Research and Social Science. 2020 ; Vol. 68.

Bibtex

@article{f98ade56bc144cfc97f5e4515aef0047,
title = "Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19",
abstract = "This study explores the dynamics of energy use patterns, climate change issues and the relationship between social-psychological factors, with residents{\textquoteright} acceptance of and willingness to pay (WTP) for home energy management systems (HEMS) during the COVID-19 pandemic in New York. The results of our survey suggest that there were no longer morning or evening usage peaks on weekdays, and a significant portion of respondents are experiencing higher or much higher electricity use than average. Most residents' perception of climate change issues during COVID-19 remained unchanged. Attitude, perceived behavioral control, and social norms are overall the strongest predictors of adoption intention and WTP for HEMS. Regarding WTP for specific well-being features, attitude was the strongest positive predictor of telemedical and home security features, and social norms are the strongest positive predictor of elderly assistance and job search. Technology anxiety, surprisingly, positively influences WTP for the well-being features. Trust in utilities is not related to adoption intention, but is positively associated with WTP for the well-being features. Although cybersecurity concerns are positively associated with HEMS adoption intention for energy and well-being features, this relationship is not significant in WTP. Residents who had moderate perceived risk of getting COVID-19 are willing to pay more than the high- and low-risk groups. This paper addresses the interactions among technology attributes -, and users{\textquoteright} social-psychological and demographics factors. Additionally, this study provides insights for further research in examining technology adoption and energy dynamics during times of crises, such as the COVID-19.",
keywords = "Climate changed, COVID-19, Energy demand, Home Energy Management System (HEMS), Social norms, Willingness to pay",
author = "Chen, {Chien fei} and {Zarazua de Rubens}, Gerardo and Xiaojing Xu and Jiayi Li",
year = "2020",
month = oct,
doi = "10.1016/j.erss.2020.101688",
language = "English",
volume = "68",
journal = "Energy Research & Social Science",
issn = "2214-6296",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19

AU - Chen, Chien fei

AU - Zarazua de Rubens, Gerardo

AU - Xu, Xiaojing

AU - Li, Jiayi

PY - 2020/10

Y1 - 2020/10

N2 - This study explores the dynamics of energy use patterns, climate change issues and the relationship between social-psychological factors, with residents’ acceptance of and willingness to pay (WTP) for home energy management systems (HEMS) during the COVID-19 pandemic in New York. The results of our survey suggest that there were no longer morning or evening usage peaks on weekdays, and a significant portion of respondents are experiencing higher or much higher electricity use than average. Most residents' perception of climate change issues during COVID-19 remained unchanged. Attitude, perceived behavioral control, and social norms are overall the strongest predictors of adoption intention and WTP for HEMS. Regarding WTP for specific well-being features, attitude was the strongest positive predictor of telemedical and home security features, and social norms are the strongest positive predictor of elderly assistance and job search. Technology anxiety, surprisingly, positively influences WTP for the well-being features. Trust in utilities is not related to adoption intention, but is positively associated with WTP for the well-being features. Although cybersecurity concerns are positively associated with HEMS adoption intention for energy and well-being features, this relationship is not significant in WTP. Residents who had moderate perceived risk of getting COVID-19 are willing to pay more than the high- and low-risk groups. This paper addresses the interactions among technology attributes -, and users’ social-psychological and demographics factors. Additionally, this study provides insights for further research in examining technology adoption and energy dynamics during times of crises, such as the COVID-19.

AB - This study explores the dynamics of energy use patterns, climate change issues and the relationship between social-psychological factors, with residents’ acceptance of and willingness to pay (WTP) for home energy management systems (HEMS) during the COVID-19 pandemic in New York. The results of our survey suggest that there were no longer morning or evening usage peaks on weekdays, and a significant portion of respondents are experiencing higher or much higher electricity use than average. Most residents' perception of climate change issues during COVID-19 remained unchanged. Attitude, perceived behavioral control, and social norms are overall the strongest predictors of adoption intention and WTP for HEMS. Regarding WTP for specific well-being features, attitude was the strongest positive predictor of telemedical and home security features, and social norms are the strongest positive predictor of elderly assistance and job search. Technology anxiety, surprisingly, positively influences WTP for the well-being features. Trust in utilities is not related to adoption intention, but is positively associated with WTP for the well-being features. Although cybersecurity concerns are positively associated with HEMS adoption intention for energy and well-being features, this relationship is not significant in WTP. Residents who had moderate perceived risk of getting COVID-19 are willing to pay more than the high- and low-risk groups. This paper addresses the interactions among technology attributes -, and users’ social-psychological and demographics factors. Additionally, this study provides insights for further research in examining technology adoption and energy dynamics during times of crises, such as the COVID-19.

KW - Climate changed

KW - COVID-19

KW - Energy demand

KW - Home Energy Management System (HEMS)

KW - Social norms

KW - Willingness to pay

UR - http://www.scopus.com/inward/record.url?scp=85088089120&partnerID=8YFLogxK

U2 - 10.1016/j.erss.2020.101688

DO - 10.1016/j.erss.2020.101688

M3 - Journal article

C2 - 32839705

AN - SCOPUS:85088089120

VL - 68

JO - Energy Research & Social Science

JF - Energy Research & Social Science

SN - 2214-6296

M1 - 101688

ER -