A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance

Emily Schulte*, Fabian Scheller, Daniel Sloot, Thomas Bruckner

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

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 (R2 = .280), and benefits in turn could be explained by environmental concern, novelty seeking, and subjective norm (R2 = .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.

Original languageEnglish
Article number102339
JournalEnergy Research and Social Science
Volume84
Number of pages24
ISSN2214-6296
DOIs
Publication statusPublished - 2022

Bibliographical note

Funding Information:
Emily Schulte and Fabian Scheller receive funding from the project SUSIC (Smart Utilities and Sustainable Infrastructure Change) with the project number 100378087. The project is financed by the Saxon State government out of the State budget approved by the Saxon State Parliament. Fabian Scheller also kindly acknowledges the financial support of the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 713683 (COFUNDfellowsDTU).

Funding Information:
Emily Schulte and Fabian Scheller receive funding from the project SUSIC (Smart Utilities and Sustainable Infrastructure Change) with the project number 100378087 . The project is financed by the Saxon State government out of the State budget approved by the Saxon State Parliament. Fabian Scheller also kindly acknowledges the financial support of the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 713683 (COFUNDfellowsDTU).

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

  • Meta-analysis
  • Reporting standards
  • Residential sector
  • Rooftop photovoltaic
  • Single study issues
  • Theory of planned behavior

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