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Consumer Engagement in Energy Markets: The Role of Information and Knowledge

Author

Listed:
  • Xiaoping He

    (China Center for Energy Economics Research, School of Economics, Xiamen University, China)

  • David Reiner

    (Energy Policy Research Group, Judge Business School, University of Cambridge.)

Abstract

External information (e.g., monetary and opportunity costs, retailer messaging), internal information (e.g., consumer knowledge, information processing), and the interaction between different forms of information can affect consumer engagement in markets. We employ an analytical framework which embraces both economic and psychological motives behind consumer behavior to investigate the motives and obstacles associated with household behavior in energy markets, using data from over 18,000 randomly selected responses drawn from three annual surveys of British households commissioned by the UK energy regulator. Three forms of household engagement – switching to a new electricity and/or gas supplier, changing electricity or/and gas tariffs, and changing payment methods of energy bills – are explored using a multiple-discrete choice framework. We find that internal information pathways have robust and strong effects on switching suppliers and tariffs. Concretely, a lack of belief in tariff differences discourages participation in energy markets. By contrast, professed knowledge of household energy spending and familiarity with energy tariffs drives consumer engagement. External information – supplier messages and Internet information may enhance each other in promoting market participation, conditional on message source and participation form. We also find that engagement by incumbent retailers (such as through consumer messages) can be effective in discouraging households from switching suppliers.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Xiaoping He & David Reiner, 2018. "Consumer Engagement in Energy Markets: The Role of Information and Knowledge," Working Papers EPRG 1835, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  • Handle: RePEc:enp:wpaper:eprg1835
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    Cited by:

    1. De Mel, S. & Munshi, K. & Reiche, S. & Sabourian, H., 2020. "Herding in Quality Assessment: An Application to Organ Transplantation," Cambridge Working Papers in Economics 2052, Faculty of Economics, University of Cambridge.
    2. Esplin, Ryan & Davis, Ben & Rai, Alan & Nelson, Tim, 2020. "The impacts of price regulation on price dispersion in Australia's retail electricity markets," Energy Policy, Elsevier, vol. 147(C).
    3. Esplin, Ryan & Best, Rohan & Scranton, Jessica & Chai, Andreas, 2022. "Who pays the loyalty tax? The relationship between socioeconomic status and switching in Australia's retail electricity markets," Energy Policy, Elsevier, vol. 164(C).
    4. Carmichael, R. & Gross, R. & Hanna, R. & Rhodes, A. & Green, T., 2021. "The Demand Response Technology Cluster: Accelerating UK residential consumer engagement with time-of-use tariffs, electric vehicles and smart meters via digital comparison tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    5. Stephen Littlechild, 2020. "The CMA’s assessment of customer detriment in the UK retail energy market," Journal of Regulatory Economics, Springer, vol. 57(3), pages 203-230, June.
    6. Stephen Littlechild, 2021. "The challenge of removing a mistaken price cap," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 391-415, October.
    7. Thomasi, Virginia & Siluk, Julio Cezar M. & Rigo, Paula D. & Pappis, Cesar Augusto de O., 2024. "Challenges, improvements, and opportunities market with the liberalization of the residential electricity market," Energy Policy, Elsevier, vol. 192(C).

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    Keywords

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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other
    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other

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