期刊
ENERGY RESEARCH & SOCIAL SCIENCE
卷 84, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.erss.2021.102339
关键词
Residential sector; Rooftop photovoltaic; Meta-analysis; Single study issues; Theory of planned behavior; Reporting standards
资金
- project SUSIC (Smart Utilities and Sustainable Infrastructure Change) [100378087]
- Saxon State government
- European Union [713683]
The study utilized meta-analytical structural equation modeling to analyze residential PV adoption intention, finding medium to large correlations between environmental concern, novelty seeking, perceived benefits, and subjective norm with the intention to adopt a PV system. Results suggest measures should primarily focus on enhancing the perception of benefits.
The adoption of residential photovoltaic systems (PV) is seen as an important part of the sustainable energy transition. To facilitate this process, it is crucial to identify the determinants of solar adoption. This paper follows a meta-analytical structural equation modeling approach, presenting a meta-analysis of studies on residential PV adoption intention, and assessing four behavioral models based on the theory of planned behavior to advance theory development. Of 653 initially identified studies, 110 remained for full-text screening. Only eight studies were sufficiently homogeneous, provided bivariate correlations, and could thus be integrated into the meta-analysis. The pooled correlations across primary studies revealed medium to large correlations between environmental concern, novelty seeking, perceived benefits, subjective norm and intention to adopt a residential PV system, whereas socio-demographic variables were uncorrelated with intention. Meta-analytical structural equation modeling revealed a model (N = 1,714) in which adoption intention was predicted by benefits and perceived behavioral control (R-2 = .280), and benefits in turn could be explained by environmental concern, novelty seeking, and subjective norm (R-2 = .641). Our results imply that measures should primarily focus on enhancing the perception of benefits. Based on obstacles we encountered within the analysis, we suggest guidelines to facilitate the future aggregation of scientific evidence, such as the systematic inclusion of key variables and reporting of bivariate correlations.
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