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Why Consumers Switch Energy Suppliers: The Role of Individual Attitudes

ABSTRACT Since 2008, fewer customers switched suppliers in British electricity and gas markets despite the potential for financial gains, suggesting that psychological factors may affect switching behaviors. Using a unique nation-wide British survey, we explore the influence of consumers’ attitudes and perceptions on switching behaviors and assess the differences in switching propensity across different groups. Support for simplifying energy tariffs, professed less difficulty in understanding energy bills, expected difficulty in changing suppliers and lack of attention to the issue of energy prices are associated with lower switching activity. At a time of high saliency, political party voting intention was strongly related to switching. Unlike the bivariate analyses conducted by the regulator and the competition authority, our multivariate analysis show few demographic factors affect the likelihood of switching except for educational attainment and tariff payment patterns. Remedies aiming to encourage switching cannot be targeted correctly unless the supporting analysis is robust to alternative model specifications.
- University of Cambridge United Kingdom
logit model, retail energy markets, switching suppliers, household behavior
logit model, retail energy markets, switching suppliers, household behavior
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
