Sociodemographic and individual predictors of residential solar water heater adoption behaviour

Alipour, M; Ghaboulian Zare, S; Taghikhah, F; Hafezi, R

Sociodemographic and individual predictors of residential solar water heater adoption behaviour

Alipour, M Ghaboulian Zare, S Taghikhah, F

Hafezi, R

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Energy Research and Social Science, 2023, 101
Issue Date:: 2023-07-01

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Field	Value	Language
dc.contributor.author	Alipour, M
dc.contributor.author	Ghaboulian Zare, S
dc.contributor.author	Taghikhah, F https://orcid.org/0000-0002-0851-6816
dc.contributor.author	Hafezi, R
dc.date.accessioned	2024-01-10T23:32:53Z
dc.date.available	2024-01-10T23:32:53Z
dc.date.issued	2023-07-01
dc.identifier.citation	Energy Research and Social Science, 2023, 101
dc.identifier.issn	2214-6296
dc.identifier.issn	2214-6326
dc.identifier.uri	http://hdl.handle.net/10453/174246
dc.description.abstract	Over the past decade, solar system analyses have expanded globally as many communities have adopted solar water heater (SWH) due to environmental concerns and decreasing technology development costs. The deployment of SWHs in the residential sector is significantly influenced by households' bounded rational choices, which rely on a wide range of heterogeneous behavioural predictors. This study aims to enhance the current comprehension of decision-making process regarding the residential SWHs adoption by identifying predictors with significant impacts on the diffusion of these systems. A systematic review of relevant academic databases was conducted, and variables from the 101 selected articles were classified into two categories: sociodemographic and individual factors. The characteristics and prevalence of identified predictors were examined within a coherent framework to provide a comprehensive visualisation of the findings from previous studies. The relationships between predictors and adoption decisions were then explored by analysing 82 of the 101 initially selected articles. The review outcome revealed 121 predictors (58 sociodemographic and 63 individual) grouped into 10 categories. The “demographic” and “environmental values” emerged as the most influential predictors in residential decision-making. An examination of the associations between predictors and adoption decisions revealed that “income” along with “education” had a significant positive influence on domestic SWH acceptance. Moreover, individual predictors such as “environmental concerns” and “emission reduction” played a crucial role in system adoption. Identifying key factors and their intertwined relationships can inform policymakers and industry stakeholders in designing more targeted and effective incentive policies to promote solar systems and renewable energy technologies.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Energy Research and Social Science
dc.relation.isbasedon	10.1016/j.erss.2023.103155
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1604 Human Geography, 1605 Policy and Administration
dc.title	Sociodemographic and individual predictors of residential solar water heater adoption behaviour
dc.type	Journal Article
utslib.citation.volume	101
utslib.for	1604 Human Geography
utslib.for	1605 Policy and Administration
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences/School of Communication
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-10T23:32:51Z
pubs.publication-status	Published
pubs.volume	101

Abstract:

Over the past decade, solar system analyses have expanded globally as many communities have adopted solar water heater (SWH) due to environmental concerns and decreasing technology development costs. The deployment of SWHs in the residential sector is significantly influenced by households' bounded rational choices, which rely on a wide range of heterogeneous behavioural predictors. This study aims to enhance the current comprehension of decision-making process regarding the residential SWHs adoption by identifying predictors with significant impacts on the diffusion of these systems. A systematic review of relevant academic databases was conducted, and variables from the 101 selected articles were classified into two categories: sociodemographic and individual factors. The characteristics and prevalence of identified predictors were examined within a coherent framework to provide a comprehensive visualisation of the findings from previous studies. The relationships between predictors and adoption decisions were then explored by analysing 82 of the 101 initially selected articles. The review outcome revealed 121 predictors (58 sociodemographic and 63 individual) grouped into 10 categories. The “demographic” and “environmental values” emerged as the most influential predictors in residential decision-making. An examination of the associations between predictors and adoption decisions revealed that “income” along with “education” had a significant positive influence on domestic SWH acceptance. Moreover, individual predictors such as “environmental concerns” and “emission reduction” played a crucial role in system adoption. Identifying key factors and their intertwined relationships can inform policymakers and industry stakeholders in designing more targeted and effective incentive policies to promote solar systems and renewable energy technologies.

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http://hdl.handle.net/10453/174246