IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v30y2008i3p1246-1262.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140-9883(07)00018-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt3tb6j874, University of California Transportation Center.
    9. Lawrence J. White, 1972. "Quality Variation When Prices Are Regulated," Bell Journal of Economics, The RAND Corporation, vol. 3(2), pages 425-436, Autumn.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, December.
    11. 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.
    12. 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.
    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.
    23. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chinese, Damiana & Nardin, Gioacchino & Saro, Onorio, 2011. "Multi-criteria analysis for the selection of space heating systems in an industrial building," Energy, Elsevier, vol. 36(1), pages 556-565.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. Schmitz, Kim & Schmitz, P. Michael & Wronka, Tobias C., 2003. "Bewertung von Landschaftsfunktionen mit Choice Experiments," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(08), pages 1-11.
    3. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    4. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    5. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    6. Silvia Ferrini & Riccardo Scarpa, 2005. "Experimental Designs for Environmental Valuation with Choice-Experiments: A Monte-Carlo Investigation," Working Papers in Economics 05/08, University of Waikato.
    7. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    8. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
    9. Deka, Devajyoti & Carnegie, Jon, 2021. "Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey," Journal of Transport Geography, Elsevier, vol. 91(C).
    10. Stephane Hess & John W. Polak, 2004. "An analysis of parking behaviour using discrete choice models calibrated on SP datasets," ERSA conference papers ersa04p60, European Regional Science Association.
    11. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
    12. Joan L. Walker & Moshe Ben-Akiva, 2011. "Advances in Discrete Choice: Mixture Models," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 8, Edward Elgar Publishing.
    13. Karsten Kieckhäfer & Thomas Volling & Thomas Stefan Spengler, 2014. "A Hybrid Simulation Approach for Estimating the Market Share Evolution of Electric Vehicles," Transportation Science, INFORMS, vol. 48(4), pages 651-670, November.
    14. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    15. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2014. "Attributes driving the selection of trucking services and the quantification of the shipper’s willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 142-158.
    16. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    17. Wang, Shuxian & Wu, Linhai & Zhu, Dian & Wang, Hongsha & Xu, Lingling, 2014. "Chinese consumers’ preferences and willingness to pay for traceable food attributes: The case of pork," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 165639, Agricultural and Applied Economics Association.
    18. Scarpa, Riccardo & Thiene, Mara & Marangon, Francesco, 2006. "Consumer's WTP for Environment-Friendly Production Methods and Collective Reputation for Place of Origin: The Case of Val di Gresta's Carrots," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25637, International Association of Agricultural Economists.
    19. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
    20. Kim, Yeonbae, 2005. "Estimation of consumer preferences on new telecommunications services: IMT-2000 service in Korea," Information Economics and Policy, Elsevier, vol. 17(1), pages 73-84, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:30:y:2008:i:3:p:1246-1262. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.