Examining the Key Drivers of Residential Solar Adoption in Upstate New York

Schelly, Chelsea; Letzelter, James C.

doi:10.3390/su12062552

Cited by 34 publications

(20 citation statements)

References 23 publications

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“…These figures were all above 7.0 thresholds as stipulated by [52]. For the AVE, the values ranged from 0.503 to 0.644, which satisfied the set threshold of 5.0 according to [53]. The structural equation modeling (SEM) was the major statistical analysis of this research, which was aimed at evaluating the hypotheses of the study.…”

Section: Resultsmentioning

confidence: 80%

Evaluating Consumers’ Adoption of Renewable Energy

et al. 2021

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The purpose of this study was to evaluate the consumers’ adoption of renewable energy in Poland. The study focused on finding out the factors that influence the adoption of the technology, considering its importance in conserving the environment. The study was conducted using a quantitative method, with primary data collected from 467 households using renewable energy technology in Poland. The research adopted the TAM model. The independent variables of the study included renewable energy initial cost, environmental concern, risk and trust for renewable energy, ease of use, financial incentives, and relative advantage. The dependent variable was renewable energy adoption. Structural equation modelling (SEM) was used to analyze the study hypotheses. The research found out that environmental concerns, ease of use, financial incentives, and relative advantage have a positive and significant influence on adoption of renewable energy technology in Poland. However, renewable energy initial cost and risk, and trust for renewable energy did not significantly influence renewable energy adoption. The study recommended that the stakeholders should consider the aspects of environmental concern as a key role player in pushing for adoption of renewable energy. The government, non-governmental organizations, and concerned stakeholders should consider giving incentives towards renewable energy adoption. Creating awareness regarding the benefits and strengths of renewable energy should be prioritized to the households.

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Section: Resultsmentioning

confidence: 80%

Evaluating Consumers’ Adoption of Renewable Energy

et al. 2021

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“…The included studies on PV adoption show that PV adopters can be characterized as high-income, highly educated, environmentally concerned people. Whereas Zander [79] do not find a relation between income and adoption, the samples in [37,63,78,81] and [80] have higher incomes than the general population. Additionally, the samples of [37,63,78,79,81] are highly educated, and show high environmental awareness [78,80,82].…”

Section: Summary Of Findings -Effects Of Explanatory Variables Relate...mentioning

confidence: 67%

“…Whereas Zander [79] do not find a relation between income and adoption, the samples in [37,63,78,81] and [80] have higher incomes than the general population. Additionally, the samples of [37,63,78,79,81] are highly educated, and show high environmental awareness [78,80,82]. The regression analysis of Jacksohn et al [29] reveals a significant positive effect of income, education and environmental concern on adoption.…”

Section: Summary Of Findings -Effects Of Explanatory Variables Relate...mentioning

confidence: 67%

Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies

Schulte,

Scheller,

Pasut

et al. 2021

Preprint

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Although single empirical studies provide important insights into who adopts a specific LCT for what reason, fundamental questions concerning the relations between decision subject (= who decides), decision object (= what is decided upon) and context (= when and where it is decided) remain unanswered. In this paper, this research gap is addressed by deriving a decision framework for residential decision-making, suggesting that traits of decision subject and object are determinants of financial, environmental, symbolic, normative, effort and technical considerations preceding adoption. Thereafter, the decision framework is initially verified by employing literature on the adoption of photovoltaic systems, energy efficient appliances and green tariffs. Of the six proposed relations, two could be confirmed (financial and environmental), one could be rejected (effort), and three could neither be confirmed nor rejected due to lacking evidence. Future research on LCT adoption could use the decision framework as guidepost to establish a more coordinated and integrated approach, ultimately allowing to address fundamental questions.

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“…Evaluating the influence of environmental behavior over time, Karytsas et al reveal that it had a consistent effect on installation [81]. Schelly and Letzelter even find that "environmental motivations are slightly more important than economics" for adopters [92]. Oppositely, Zander et al reveal that economic considerations are of higher importance than environmental motivations [54].…”

Section: Research On the Residential Adoption Of Pv Systemsmentioning

confidence: 99%

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

Schulte,

Scheller,

Sloot

et al. 2021

Preprint

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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, and benefits in turn could be explained by environmental concern, novelty seeking, and subjective norm. 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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Examining the Key Drivers of Residential Solar Adoption in Upstate New York

Cited by 34 publications

References 23 publications

Evaluating Consumers’ Adoption of Renewable Energy

Evaluating Consumers’ Adoption of Renewable Energy

Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies

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

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