2021
DOI: 10.1016/j.enbuild.2021.111452
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Barriers to the adoption of energy-efficient technologies in the building sector: A survey of Brazil

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Cited by 28 publications
(17 citation statements)
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“…Then, a hierarchical cluster analysis was used to group low-carbon innovations with similar characteristics. This type of multivariate clustering classifies similar objects into clusters in a way that each cluster is as much distinct as possible from the rest [91,92]. For each low-carbon innovation, we considered survey results for all three evaluation criteria: mitigation potential, timing of commercial availability (CTIs) or widespread adoption (ODIs), and risk of being delayed.…”
Section: Methods Of Analysismentioning
confidence: 99%
“…Then, a hierarchical cluster analysis was used to group low-carbon innovations with similar characteristics. This type of multivariate clustering classifies similar objects into clusters in a way that each cluster is as much distinct as possible from the rest [91,92]. For each low-carbon innovation, we considered survey results for all three evaluation criteria: mitigation potential, timing of commercial availability (CTIs) or widespread adoption (ODIs), and risk of being delayed.…”
Section: Methods Of Analysismentioning
confidence: 99%
“…The adoption and uptake of energy-efficient appliances are influenced by various factors, and overcoming barriers to widespread adoption is crucial for achieving energy efficiency goals (Agyarko, Opoku & Van Buskirk, 2020, Cristino, et. al., 2021, Hesselink & Chappin, 2019.…”
Section: Adoption and Uptake Of Energy-efficient Appliancesmentioning
confidence: 99%
“…On the other hand, rendering to Ganiyu et al (2020), lack of institutions to create rules and establish standards and lack of knowledge about green products are main barriers to the adoption in Nigeria. Furthermore, a literature assessment by Cristino et al (2021) revealed 27 barriers impeding Brazil's adoption of energy-efficient technology (EET). Two multivariate approaches, cluster and factor analysis, were used in a survey of 1000 Brazilian experts.…”
Section: Literature Reviewmentioning
confidence: 99%