Determinants of Solar Photovoltaic Adoption Intention among Households: A Meta-Analysis
In recent years, research on the intention to adopt solar photovoltaic technology has yielded rich results. However, controversy still exists regarding the key antecedents of households’ intention to adopt solar photovoltaic technologies. To clarify the critical factors influencing the intention to...
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Veröffentlicht in: | Sustainability 2024-09, Vol.16 (18), p.8204 |
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creator | Li, Wenjie Zhu, Jiaolan Li, Yongchang Li, Yaning Ding, Zhikun |
description | In recent years, research on the intention to adopt solar photovoltaic technology has yielded rich results. However, controversy still exists regarding the key antecedents of households’ intention to adopt solar photovoltaic technologies. To clarify the critical factors influencing the intention to adopt solar photovoltaic technology and potential moderating variables, this study utilized meta-analysis to perform a quantitative literature analysis on 29 empirical articles. It identified eight key influencing factors and tested the moderating effects of two variables: sample size and research area. The results show that “Attitude” and “Government Incentive” are moderately correlated with the intention to adopt. “Social Influence”, “Product Knowledge”, “Effort Expectancy”, “Perceived Cost-benefit”, “Performance Expectancy”, and “Perceived Behavioral Control” are weakly correlated with the adoption intention. The study also found that using the sample size and research area as moderating variables can partly reveal differences between various studies. Overall, the findings of this study offer theoretical guidance for subsequent in-depth studies and support for the practical promotion of solar photovoltaic technology. |
doi_str_mv | 10.3390/su16188204 |
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However, controversy still exists regarding the key antecedents of households’ intention to adopt solar photovoltaic technologies. To clarify the critical factors influencing the intention to adopt solar photovoltaic technology and potential moderating variables, this study utilized meta-analysis to perform a quantitative literature analysis on 29 empirical articles. It identified eight key influencing factors and tested the moderating effects of two variables: sample size and research area. The results show that “Attitude” and “Government Incentive” are moderately correlated with the intention to adopt. “Social Influence”, “Product Knowledge”, “Effort Expectancy”, “Perceived Cost-benefit”, “Performance Expectancy”, and “Perceived Behavioral Control” are weakly correlated with the adoption intention. The study also found that using the sample size and research area as moderating variables can partly reveal differences between various studies. 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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Overall, the findings of this study offer theoretical guidance for subsequent in-depth studies and support for the practical promotion of solar photovoltaic technology.</description><subject>Alternative energy sources</subject><subject>Attitudes</subject><subject>Behavior</subject><subject>Case studies</subject><subject>Data collection</subject><subject>Energy use</subject><subject>Households</subject><subject>Influence</subject><subject>Meta-analysis</subject><subject>Qualitative research</subject><subject>Questionnaires</subject><subject>Renewable resources</subject><subject>Research methodology</subject><subject>Structural equation modeling</subject><subject>Technological change</subject><subject>Technology adoption</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkd9LwzAQx4MoOKYv_gUBnxQ6k6ZtWt_K_LHBRHGKj-GWpltHm8wkFfffG52gu3u448vne9xxCJ1RMmKsIFeupxnN85gkB2gQE04jSlJy-K8_RqfOrUkIxmhBswF6u1Fe2a7RoL3DpsZz04LFTyvjzYdpPTQSl5XZ-MZoPNVe6Z8OOqOXeGJ6p1amrdw1LvGD8hCVGtqta9wJOqqhder0tw7R693ty3gSzR7vp-NyFsk45T6ieca5pAuQiuZpHNcAPOUVSaugsASyICYJlVIu5KLKuJI5VBlLWZakiSqADdH5bu7GmvdeOS_WprdhCScYpeHuhBMaqNGOWkKrRKNr4y3IkJXqGmm0qpugl3kw5EWR8WC42DMExqtPv4TeOTGdP--zlztWWuOcVbXY2KYDuxWUiO_HiL_HsC81HX8O</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Li, Wenjie</creator><creator>Zhu, Jiaolan</creator><creator>Li, Yongchang</creator><creator>Li, Yaning</creator><creator>Ding, Zhikun</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-6222-9191</orcidid></search><sort><creationdate>20240901</creationdate><title>Determinants of Solar Photovoltaic Adoption Intention among Households: A Meta-Analysis</title><author>Li, Wenjie ; Zhu, Jiaolan ; Li, Yongchang ; Li, Yaning ; Ding, Zhikun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c257t-18677c1bace18522faa757d05dace34a6852441cccbcbd67ec8ad63536454e9a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Alternative energy sources</topic><topic>Attitudes</topic><topic>Behavior</topic><topic>Case studies</topic><topic>Data collection</topic><topic>Energy use</topic><topic>Households</topic><topic>Influence</topic><topic>Meta-analysis</topic><topic>Qualitative research</topic><topic>Questionnaires</topic><topic>Renewable resources</topic><topic>Research methodology</topic><topic>Structural equation modeling</topic><topic>Technological change</topic><topic>Technology adoption</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Wenjie</creatorcontrib><creatorcontrib>Zhu, Jiaolan</creatorcontrib><creatorcontrib>Li, Yongchang</creatorcontrib><creatorcontrib>Li, Yaning</creatorcontrib><creatorcontrib>Ding, Zhikun</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Wenjie</au><au>Zhu, Jiaolan</au><au>Li, Yongchang</au><au>Li, Yaning</au><au>Ding, Zhikun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of Solar Photovoltaic Adoption Intention among Households: A Meta-Analysis</atitle><jtitle>Sustainability</jtitle><date>2024-09-01</date><risdate>2024</risdate><volume>16</volume><issue>18</issue><spage>8204</spage><pages>8204-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>In recent years, research on the intention to adopt solar photovoltaic technology has yielded rich results. 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subjects | Alternative energy sources Attitudes Behavior Case studies Data collection Energy use Households Influence Meta-analysis Qualitative research Questionnaires Renewable resources Research methodology Structural equation modeling Technological change Technology adoption |
title | Determinants of Solar Photovoltaic Adoption Intention among Households: A Meta-Analysis |
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