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A choice modelling analysis on the similarity between distribution utilities' and industrial customers' price and quality preferences

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  • Söderberg, Magnus

Abstract

The Swedish Electricity Act states that electricity distribution must comply with both price and quality requirements. In order to maintain efficient regulation it is necessary to firstly, define quality attributes and secondly, determine a customer's priorities concerning price and quality attributes. If distribution utilities gain an understanding of customer preferences and incentives for reporting them, the regulator can save a lot of time by surveying them rather than their customers. This study applies a choice modelling methodology where utilities and industrial customers are asked to evaluate the same twelve choice situations in which price and four specific quality attributes are varied. The preferences expressed by the utilities, and estimated by a random parameter logit, correspond quite well with the preferences expressed by the largest industrial customers. The preferences expressed by the utilities are reasonably homogenous in relation to forms of association (private limited, public and trading partnership). If the regulator acts according to the preferences expressed by the utilities, smaller industrial customers will have to pay for quality they have not asked for.

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  • Söderberg, Magnus, 2008. "A choice modelling analysis on the similarity between distribution utilities' and industrial customers' price and quality preferences," Energy Economics, Elsevier, vol. 30(3), pages 1246-1262, May.
    • Handle: RePEc:eee:eneeco:v:30:y:2008:i:3:p:1246-1262
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    1. Nick Hanley & Robert Wright & Vic Adamowicz, 1998. "Using Choice Experiments to Value the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 413-428, April.
    2. James, Sallie & Burton, Michael P., 2003. "Consumer preferences for GM food and other attributes of the food system," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 1-18.
    3. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    4. Nick Hanley & Susana Mourato & Robert E. Wright, 2001. "Choice Modelling Approaches: A Superior Alternative for Environmental Valuatioin?," Journal of Economic Surveys, Wiley Blackwell, vol. 15(3), pages 435-462, July.
    5. repec:bla:jecsur:v:15:y:2001:i:3:p:435-62 is not listed on IDEAS
    6. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    7. Greene, William H. & Hensher, David A. & Rose, John, 2006. "Accounting for heterogeneity in the variance of unobserved effects in mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 75-92, January.
    8. Lawrence J. White, 1972. "Quality Variation When Prices Are Regulated," Bell Journal of Economics, The RAND Corporation, vol. 3(2), pages 425-436, Autumn.
    9. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, January.
    11. Hall, Jane & Viney, Rosalie & Haas, Marion & Louviere, Jordan, 2004. "Using stated preference discrete choice modeling to evaluate health care programs," Journal of Business Research, Elsevier, vol. 57(9), pages 1026-1032, September.
    12. Beenstock, Michael & Goldin, Ephraim & Haitovsky, Yoel, 1998. "Response bias in a conjoint analysis of power outages," Energy Economics, Elsevier, vol. 20(2), pages 135-156, April.
    13. Klein, Christopher C. & H. Sweeney, George, 1999. "Regulator preferences and utility prices: evidence from natural gas distribution utilities," Energy Economics, Elsevier, vol. 21(1), pages 1-15, February.
    14. Anderson, Roland & Taylor, Lewis, 1986. "The social cost of unsupplied electricity : A critical review," Energy Economics, Elsevier, vol. 8(3), pages 139-146, July.
    15. 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.
    16. repec:bla:econom:v:43:y:1976:i:17:p:127-37 is not listed on IDEAS
    17. Alvarez-Farizo, Begona & Hanley, Nick, 2002. "Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms. An example from Spain," Energy Policy, Elsevier, vol. 30(2), pages 107-116, January.
    18. David Sappington, 2005. "Regulating Service Quality: A Survey," Journal of Regulatory Economics, Springer, vol. 27(2), pages 123-154, November.
    19. M. Munasinghe & A. Sanghvi, 1988. "Reliability of Electricity Supply, Outage Costs and Value of Service: An Overview," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 1-18.
    20. Lars Hultkrantz & Reza Mortazavi, 2001. "Anomalies in the Value of Travel-Time Changes," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 285-299, May.
    21. Powe, N. A. & Bateman, I. J., 2003. "Ordering effects in nested 'top-down' and 'bottom-up' contingent valuation designs," Ecological Economics, Elsevier, vol. 45(2), pages 255-270, June.
    22. Peltzman, Sam, 1976. "Toward a More General Theory of Regulation," Journal of Law and Economics, University of Chicago Press, vol. 19(2), pages 211-240, August.
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    2. Xie, Li & Kong, Chun, 2024. "Electricity user connection pricing strategy: The incomplete contract theory perspective," Energy Economics, Elsevier, vol. 132(C).
    3. Ovaere, Marten, 2023. "Cost-efficiency and quality regulation of energy network utilities," Energy Economics, Elsevier, vol. 120(C).
    4. Tianlei Zang & Yueping Xiang & Jianwei Yang, 2017. "The Tripartite Game Model for Electricity Pricing in Consideration of the Power Quality," Energies, MDPI, vol. 10(12), pages 1-27, December.
    5. Taro Ohdoko & Satoru Komatsu & Shinji Kaneko, 2013. "Residential preferences for stable electricity supply and a reduction in air pollution risk: a benefit transfer study using choice modeling in China," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(3), pages 309-328, July.
    6. Niclas Berggren, 2012. "The Calculus of Consent: some Swedish connections," Public Choice, Springer, vol. 152(3), pages 313-321, September.

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