Adoption intention of photovoltaic solar systems
DOI:
https://doi.org/10.5902/1983465967199Keywords:
Consumer behavior, Decision making, Purchase decision, Photovoltaic systems.Abstract
Purpose – The research objective is to analyze the influence of key factors contributing to consumers’ purchase intention grid-connected photovoltaic systems among residential energy consumers.
Design/methodology/approach – A survey based on Korcaj et al. (2014) was conducted in a major Brazilian city; 209 valid responses were obtained directly. Data was analyzed using structural equation modeling.
Findings – Among significant decision influences are environmental, financial, and autarchy benefits onto perceived global benefit and perceived behavioral control construct onto purchase intention; perceived social benefits, however, were not a relevant influence as opposed to previous studies.
Research limitations/implications - Weakness of the model's reliability leading to the exclusion of the perceived total cost construct, which in turn could reduce sample bias and increase the reliability of the model and regarding clarity regarding the product “solar photovoltaic energy system”, as no text was used; this could have left questions unanswered due to the lack of knowledge of respondents about solar technology.
Practical implications - The high purchasing power and high education level, along with favorable weather and geography, may contribute to promising perspectives for the product. Furthermore, to promote adhesion of the technology in the city there is a need to increase benefits, to reduce perceived technology costs, and to value the importance of solar energy generation among reference groups.
Social implications - The analysis of factors influencing the city’s residents’ intentions of to adopt photovoltaic systems favors further promotion of the technology in the city.
Originality/value - It contributes to the development of consumer behavior studies regarding the adoption intention of ecologically sustainable technologies, i.e., GCPSs, thus, filling a gap in the literature on consumer behavior for this product.
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References
Abreu, J., Wingartz, N., & Hardy, N. (2019). New trends in solar: a comparative study assessing the attitudes towards the adoption of rooftop PV. Energy Policy, 128, pp. 347-363.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), pp. 179-211.
Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychological Bulletin, 84, pp. 888-918.
Araújo, K., Boucher, J. L., & Aphale, O. (2019). A clean energy assessment of early adopters in electric vehicle and solar photovoltaic technology: geospatial, political and socio-demographic trends in New York. Journal of Cleaner Production, 216, pp. 99-116.
Candas, S., Siala, K., & Hamacher, T. (2019). Sociodynamic modeling of small-scale PV adoption and insights on future expansion without fee-in tariffs. Energy Policy, 125, pp. 521-536.
Chen, K. K. (2014). Assessing the effects of customer innovativeness, environmental value and ecological lifestyles on residential solar power systems install intention. Energy Policy, 67, pp. 951–961.
Cho, Y., Shaygan, A., & Daim, T. U. (2019). Energy technology adoption: case of solar photovoltaic in the Pacific Northwest USA. Sustainable Energy Technologies and Assessments, 34, pp. 187-199.
Choudhary, P., & Srivastava, R. K. (2019). Sustainability perspectives - a review for solar photovoltaic trends and growth opportunities. Journal of Cleaner Production, 277, pp. 589-612.
David, T. M., Buccieri, G. P., & Rizol, P. M. (2021). Photovoltaic systems in residences: a concept of efficiency energy consumption and sustainability in Brazilian culture. Journal of Cleaner Production, 298(20), pp. 1-11.
Ellaban, O., & Alassi, A. (2019). Integrated economic adoption model for residential gri-connected photovoltaic systems: an Australian case study. Energy Reports, 5, pp. 310-326.
Ferreira, A., Kunh, S. S., Fagnani, K. C., De Souza, T. A., & Tonezer, C. (2018). Economic overview of the use and production of photovoltaic solar energy in Brazil. Renewable and Sustainable Energy Reviews, 81, pp. 181–191.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), pp. 39-50.
Garlet, T. B., Ribeiro, J. L. D., Savian, F. de S., & Siluk, J. C. M. (2019). Paths and barriers to the diffusion of distributed generation of photovoltaic energy in southern Brazil. Renewable and Sustainable Energy Reviews, 111, pp. 157-169.
Garver, M., & Mentzer, J. (1999). Logistics research methods: employing structural equation modeling to test for construct validity. Journal of Business Logistics, 20(1), pp. 33-57.
Gastaldo, N. G., Rediske, G., Rigo, P. D., Rosa, C. B., Michels, L., & Siluk, J. C. (2019). What is the profile of the investor in household solar photovoltaic energy systems? Energies, 12, pp. 1-18.
Gotz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of structural equation models using the partial least square (PLS) approach. Em V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang, Handbook of Partial Least Squares (pp. 691-711 ). Heidelberg: Springer.
Graziano, M., Fiaschetti, M., & Atkinson-Palombo, C. (2019). Peer effects in the adoption of solar energy technologies in the United States: an urban case study. Energy Research & Social Science, 48, pp. 75-84.
Hair, J. J., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
Hair, J. J., Hult, T. M., Ringle, C. M., & Sarstedt, M. A. (2014). Primer on Partial Least Squares Structural Equation Modeling. Los Angeles: Sage.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, pp. 277-319.
Jan, I., Ullah, W., & Ashfaq, M. (2020). Social acceptability of solar photovoltaic system in Pakistan: key determinants and policy implications. Journal of Cleaner Production, 274(20), pp. 123-140.
Jarvis, C., Mackenzie, S., & Podsakoffo, P. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30, pp. 202-217.
Karakaya, E., & Sriwannawit, P. (2015). Barriers to the adoption of photovoltaic systems: the state of the art. Renewable and Sustainable Energy Reviews, 49, pp. 60–66.
Karjalainen, S., & Ahvenniemi, H. (2019). Pleasure is the profit - the adoption of solar PV systems by households in Finland. Renewable Energy, 133, pp. 44-52.
Kastner, I., & Wittenber, I. (2019). How measurements "affect" the importance of social influences on household's photovoltaic adoption - a German case study. Sustainability, 11(19), pp. 51-75.
Korcaj, L., Engel, R., & Sapda, H. (2014). Acceptance of Residential Solar Photovoltaic Systems among German Homeowners. Umweltpsychologie, 18, pp. 84-103.
Kosugi, T., Shimoda, Y., & Tashiro, T. (2019). Neighborhood influences on the diffusion of residential photovoltaic systems in Kyoto City, Japan. Environmental Economics and Policy Studies, 21, pp. 477-505.
Laumanns, U., Reiche, D., & Bechberger, M. (2004). Renewable energies in developing countries: issues, interests, and implications. Energy & Environment, 15(4), pp. 731-741.
Lukanov, B. R., & Krieger, E. M. (2019). Distributed solar and environmental justice: exploring the demographic and socio-economic trends of residential PV adoption in California. Energy Policy, 134, pp. 1-12.
Maia, D. A. (2016). Intenções de compra de sistemas fotovoltaicos dependentes de ganhos pessoais esperados e comportamento dos pares. Brasília, DF: Monografia, Departamento de Administração, Universidade de Brasília.
Marôco, J. (2014). Análise de equações estruturais: fundamentos teóricos, software & aplicações. Pêro Pinheiro: Report Number.
Marques, A. C., Fuinhas, J. A., & Pires Manso, J. (2010). Motivations driving renewable energy in European countries: a panel data approach. Energy Policy, 38(11), pp. 6877–6885.
McDonald, N. C., & Pearce, J. M. (2010). Producer responsibility and recycling solar photovoltaic modules. Energy Policy, 38(11), pp. 7041-7047.
Moriggi, B. (2017). Evolução institucional e inovações recentes do setor de energia elétrica brasileiro: dilemas da regulação. Dissertação de mestrado, Universidade Estadual Paulista, Araraquara, SP, Brasil.
Müller, S., & Rode, J. (2013). The adoption of photovoltaic systems in Wiesbaden, Germany. Economics of Innovation and New Technology, 22(5), pp. 519-535.
Oliver, M., & Jackson, T. (1999). The market for solar photovoltaics. Energy Policy, 27(7), pp. 371-385.
Palm, J. (2018). Household installation of solar panels – motives and barriers in a 10-year perspective. Energy Policy, 113, pp. 1–8.
Ramshani, M., Li, X., Khojandi, A., & Omitaomu, O. (2020). An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty. Applied Energy, 261, pp. 1-16.
Rediske, G., Siluk, J. C., Gastaldo, N. G., Rigo, P. D., & Rosa, C. B. (2018). Determinant factors in site selection for photovoltaic projects: a systematic review. International Journal of Energy Resources, 43, pp. 1689-1701.
Ringle, C. M., Silva, D., & Bido, D. (2014). Modelagem de equações estruturais com utilização do SmartPLS. Revista Brasileira de Marketing, 13(2), pp. 56-73.
Schelly, C. (2014). Residential solar electricity adoption: what motivates, and what matters? A case study of early adopters. Energy Research and Social Science, 2, pp. 183–191.
Sommerfeld, J., Buys, L., & Vine, D. (2017). Residential consumers experiences in the adoption and use of solar PV. Energy Policy, 105, pp. 10–16.
Uriona-Maldonado M., Caliari T., de Souza Costa, L. H., & Vaz C. R. (2021). The diffusion of solar photovoltaics in Brazil: a technological innovation system approach. In L. Pereira, J. Carvalho, P. Krus, M. Klofsten, & V. De Negri (Eds.). Proceedings of IDEAS 2019 (Vol. 198, pp. 377-385). Cham: Springer.
Vasseur, V., & Kemp, R. (2015). The adoption of PV in the Netherlands: a statistical analysis of adoption factors. Renewable and Sustainable Energy Reviews, 41, pp. 483–494.
Xu, Y., Li, J., Quanyini, T., Peters, A. L., & C, Y. (2018). Global status of recycling waste solar panels: a review. Waste Management, 75, pp. 450-458.
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