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Willingness to Pay for Improved Quality of Electricity Supply Across Business Type and Location

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  • Mark Morrison
  • Craig Nalder

Abstract

Regulatory authorities in many countries are experimenting with mechanisms for providing electricity distributors with financial incentives to improve quality of supply. In designing these incentives it is apparent that customers’ preferences have rarely been obtained for consideration in the regulatory process. As a result, there is relatively limited understanding of customers’ willingness to pay for improved quality of electricity supply. Several studies have examined the willingness of households to pay for improved quality of electricity supply, however, few studies have examined the willingness of businesses to pay for improved quality of supply. In this study we use choice modelling with random parameters logit models to identify the willingness to pay of business for various service related attributes. Furthermore, we examine the values held by both service and manufacturing businesses, from both rural/regional and urban areas, and observe the differences between them. We find several differences in willingness to pay across business types and locations, however overall the value estimates are relatively homogeneous.

Suggested Citation

  • Mark Morrison & Craig Nalder, 2009. "Willingness to Pay for Improved Quality of Electricity Supply Across Business Type and Location," The Energy Journal, , vol. 30(2), pages 117-134, April.
    • Handle: RePEc:sae:enejou:v:30:y:2009:i:2:p:117-134
    DOI: 10.5547/ISSN0195-6574-EJ-Vol30-No2-6
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    References listed on IDEAS

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    1. Scarpa, Riccardo & Ruto, Eric S. K. & Kristjanson, Patti & Radeny, Maren & Drucker, Adam G. & Rege, John E. O., 2003. "Valuing indigenous cattle breeds in Kenya: an empirical comparison of stated and revealed preference value estimates," Ecological Economics, Elsevier, vol. 45(3), pages 409-426, July.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    3. Klaus Moeltner & David F. Layton, 2002. "A Censored Random Coefficients Model For Pooled Survey Data With Application To The Estimation Of Power Outage Costs," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 552-561, August.
    4. Andrew A. Goett & Kathleen Hudson & Kenneth E. Train, 2000. "Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-28.
    5. Michael Beenstock & Ephraim Goldin & Yoel Haitovsky, 1997. "The Cost of Power Outages in the Business and Public Sectors in Israel: Revealed Preference vs. Subjective Valuation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 39-61.
    6. Michael J. Doane & Raymond S. Hartman & Chi-Keung Woo, 1988. "Households' Perceived Value of Service Reliability: An Analysis of Contingent Valuation Data," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 135-150.
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