Solar energy paper index
Survey Dataset from 549 Households across Greece on (Environmental) Awareness and Adoption Intentions of Residential Renewable Energy (Microgeneration) Technologies
One-line summary
A solar energy research paper on Survey Dataset from 549 Households across Greece on (Environmental) Awareness and Adoption Intentions of Residential Renewable Energy (Microgeneration) Technologies.
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Chinese explanation / 中文解读
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Original abstract
This article describes a household survey dataset documenting environmental awareness, environmentally responsible behavior, perceptions of renewable energy sources, and the current and intended adoption of residential microgeneration technologies among 549 households in Greece. The data were generated through a structured web-based questionnaire administered to adult residential decision makers in 2019 and provided the empirical foundation for a published study of the determinants of market acceptance of small-scale renewable energy technologies. The instrument combined 32 thematic questions with seven demographic questions and yielded 78 coded variables spanning residential characteristics, environmental awareness and behavior, renewable energy source perceptions, the installation and intended installation of six microgeneration technologies, the factors that shape installation decisions, and respondent demographics. Two composite indices summarizing environmental awareness and environmental behavior, three reverse-coded items, and two embedded attention-check questions were incorporated to support reliability assessment and secondary analysis. What distinguishes the dataset is its integration of attitudinal, behavioral, residential, spatial, and technology-specific information within a single coherent instrument, together with the parallel documentation of realized adoption and future adoption intention. A fully specified and reversible coding scheme accompanies the numerical records, rendering the data immediately usable in standard statistical environments. The resource lends itself to research on renewable energy adoption, environmental behavior, sustainability transitions, technology acceptance, behavioral segmentation, policy analysis, predictive modelling, and machine learning, and it offers a transferable template for future studies on household participation in decentralized energy systems.
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