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The Value of Continuous Power Supply for Flemish Households

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  • Pepermans, Guido

    (Hogeschool-Universiteit Brussel (HUB), Belgium)

Abstract

This paper estimates the willingness to pay of Flemish households for continuous power supply, based on a stated preference approach. The data were collected via choice experiments which were then used to estimate a set of logit models ranging from a main effects conditional logit model to random parameter logit model with interaction effects and correlated preferences. Power outages are characterized by 6 attributes: annual frequency, duration, peak or off peak, announced or unannounced, winter or summer and invoice impact. All estimates have the expected sign and are used to assess the marginal willingness to pay by Flemish households for each of these attributes. Overall, the estimates suggest that Flemish households have heterogeneous preferences regarding power outage attributes, and that a significant share of them is willing to switch to a lower reliability level if that would be compensated by a relatively small electricity bill discount. We further illustrate i) how the model estimates can be used to assess the impact on a households consumer surplus of a transition from an initial power outage state of the world (the status quo in the choice experiment) to a new state of the world, and ii) how the estimates can be used to assess the market potential of different power outage profiles if they would be offered for sale by electricity suppliers and/or distribution companies. Again, these illustrations show that some market potential exists for differentiated power outage contracts.

Suggested Citation

  • Pepermans, Guido, 2010. "The Value of Continuous Power Supply for Flemish Households," Working Papers 2010/24, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    • Handle: RePEc:hub:wpecon:201024
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    13. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    14. Paul Nduhuura & Matthias Garschagen & Abdellatif Zerga, 2021. "Impacts of Electricity Outages in Urban Households in Developing Countries: A Case of Accra, Ghana," Energies, MDPI, vol. 14(12), pages 1-26, June.
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    16. Woo, C.K. & Ho, T. & Shiu, A. & Cheng, Y.S. & Horowitz, I. & Wang, J., 2014. "Residential outage cost estimation: Hong Kong," Energy Policy, Elsevier, vol. 72(C), pages 204-210.
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    18. Johane Dikgang & Nomsa P. Nkosi, 2018. "Pricing electricty blackout among South African households," Working Papers 727, Economic Research Southern Africa.
    19. Broberg, Thomas & Persson, Lars, 2016. "Is our everyday comfort for sale? Preferences for demand management on the electricity market," Energy Economics, Elsevier, vol. 54(C), pages 24-32.
    20. Mark Tocock & Dugald Tinch & Darla Hatton MacDonald & John M. Rose, 2023. "Managing the energy trilemma of reliability, affordability and renewables: Assessing consumer demands with discrete choice experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 155-175, April.
    21. Deutschmann, Joshua W. & Postepska, Agnieszka & Sarr, Leopold, 2021. "Measuring willingness to pay for reliable electricity: Evidence from Senegal," World Development, Elsevier, vol. 138(C).
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    More about this item

    Keywords

    Power outage; Willingness to pay; Survey; Choice experiment; Random parameter logit;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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