Data for "Energy literacy and dynamic electricity tariff adoption in a developing economy: survey evidence and a critical review"

Published: 23 August 2026| Version 1 | DOI: 10.17632/8v2z3tv4yc.1
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Description

These data underpin the study "Energy literacy and dynamic electricity tariff adoption in a developing economy: survey evidence and a critical review", which asks whether objective energy literacy predicts willingness to adopt dynamic electricity tariffs (time-of-use, real-time pricing, critical peak pricing, enhanced time-of-use). Almost all published evidence on this question comes from Europe, North America and Australia; these data address the absence of developing-economy evidence. DATA COLLECTION A 37-item questionnaire was administered via Google Forms to students, academic and administrative staff, and alumni in Selangor, Malaysia (N = 45). Participation was voluntary and fully anonymous; no personal identifiers were collected and all responses are reported in aggregate. Three validated instruments were embedded: the 11-item energy literacy scale of Reis et al. (2021), the adoption-likelihood and framing items of Gamma et al. (2021), and the Rational and Intuitive Decision Styles Scale of Hamilton et al. (2016). FILES survey result.xlsx - five sheets. "literacy and adoption" holds the respondent-level minimal dataset (45 rows): Energy Literacy Score (ELS, 0-11) and adoption likelihood (1 = very unlikely to 5 = very likely). The three summary sheets give the aggregate counts behind the reported tables; "Charts" holds the derived series used to plot the figures. supplementary_A.docx - the complete 37-item questionnaire as administered, in Sections A-F (socio-demographics; energy behaviour and appliance ownership; tariff type; literacy scale; adoption likelihood and framing; decision styles). WHAT THE DATA SHOW Mean ELS was 5.44 of 11 (SD 2.68; median 5.0; range 0-11), with 44.4% of respondents in the Medium band (4-6). Two findings are central. First, 40.0% could not identify their own electricity tariff type, despite being an educated, urban university community. Second, the correlation between literacy and adoption likelihood was weak and non-significant (Pearson r = 0.09, p = 0.550, 95% CI -0.21 to 0.38). Mean adoption likelihood was essentially flat across literacy bands (3.00, 2.60, 3.00, 3.50 for Low, Medium, High, Very High). INTERPRETATION AND REUSE The confidence interval around r also contains effect sizes reported in larger European samples, so this pilot is underpowered to adjudicate the literacy-adoption association; no inference of absence should be drawn from it. Read alongside the tariff-awareness deficit, the data support the argument that the adoption barrier is substantially communicative rather than a knowledge deficit. The dataset suits replication of the reported statistics, pooling with comparable survey data in meta-analysis, and use as a baseline for larger or multi-site studies of energy literacy in Southeast Asia. Users should note the modest sample size, the single-site university recruitment, and the resulting limits on generalisability to the wider Malaysian population.

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Energy Policy, Consumer Behavior, Electricity Market, Energy Consumption

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