IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v56y2016icp443-452.html

Estimating the willingness to pay for reliable electricity supply: A choice experiment study

Author

Listed:
  • Ozbafli, Aygul
  • Jenkins, Glenn P.

Abstract

This research examines households' willingness to pay (WTP) for an improved electricity service. Households' stated WTP is estimated using the choice experiment (CE) method. The data used in the estimations come from 350 in-person interviews conducted during the period 5–22 August 2008 in North Cyprus. Compensating variation (CV) estimates for a zero-outage scenario are calculated using the parameter estimates from the mixed logit (ML) model; these are 6.65 YTL (Turkish lira) per month (3.02 USD) for summer and 25.83 YTL per month (11.74 USD) for winter. In order to avoid the cost of outages, households are willing to incur a 3.6% and a 13.9% increase in their monthly electricity bill for summer and winter, respectively. The WTP per hour unserved is 0.28 YTL (0.13 USD) for summer, and 1.08 YTL (0.49 USD) for winter. A preliminary cost–benefit analysis indicates that the annualized economic benefits are approximately 42.7 million YTL (19.4 million USD) for the residential sector. This would justify an investment in additional generation capacity of approximately 268MW, which is far more than that which is needed to eliminate the service reliability problem.

Suggested Citation

  • Ozbafli, Aygul & Jenkins, Glenn P., 2016. "Estimating the willingness to pay for reliable electricity supply: A choice experiment study," Energy Economics, Elsevier, vol. 56(C), pages 443-452.
    • Handle: RePEc:eee:eneeco:v:56:y:2016:i:c:p:443-452
    DOI: 10.1016/j.eneco.2016.03.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988316300755
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2016.03.025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anderson, Roland & Taylor, Lewis, 1986. "The social cost of unsupplied electricity : A critical review," Energy Economics, Elsevier, vol. 8(3), pages 139-146, July.
    2. Abdullah, Sabah & Mariel, Petr, 2010. "Choice experiment study on the willingness to pay to improve electricity services," Energy Policy, Elsevier, vol. 38(8), pages 4570-4581, August.
    3. Wuyang Hu, 2004. "Trading off health, environmental and genetic modification attributes in food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(3), pages 389-408, September.
    4. 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.
    5. repec:aen:journl:1988si2-a10 is not listed on IDEAS
    6. 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.
    7. Woo, Chi-Keung & Pupp, Roger L., 1992. "Costs of service disruptions to electricity consumers," Energy, Elsevier, vol. 17(2), pages 109-126.
    8. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    9. Caves, Douglas W & Herriges, Joseph A & Windle, Robert J, 1990. "Customer Demand for Service Reliability in the Electric Power Industry: A Synthesis of the Outage Cost Literature," Bulletin of Economic Research, Wiley Blackwell, vol. 42(2), pages 79-119, April.
    10. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    11. repec:aen:journl:2000v21-04-a01 is not listed on IDEAS
    12. Fredrik Carlsson & Peter Martinsson, 2008. "How Much is Too Much?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(2), pages 165-176, June.
    13. Carlsson, Fredrik & Martinsson, Peter, 2008. "Does it matter when a power outage occurs? -- A choice experiment study on the willingness to pay to avoid power outages," Energy Economics, Elsevier, vol. 30(3), pages 1232-1245, May.
    14. Sanghvi, Arun P., 1982. "Economic costs of electricity supply interruptions : US and foreign experience," Energy Economics, Elsevier, vol. 4(3), pages 180-198, July.
    15. Krinsky, Itzhak & Robb, A Leslie, 1990. "On Approximating the Statistical Properties of Elasticities: A Correction," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 189-190, February.
    16. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, Enero-Abr.
    17. David Hensher & Nina Shore & Kenneth Train, 2005. "Households’ Willingness to Pay for Water Service Attributes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(4), pages 509-531, December.
    18. Sanghvi, Arun P., 1983. "Optimal electricity supply reliability using customer shortage costs," Energy Economics, Elsevier, vol. 5(2), pages 129-136, April.
    19. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    20. Bose, Ranjan Kumar & Shukla, Megha, 2001. "Electricity tariffs in India: an assessment of consumers' ability and willingness to pay in Gujarat," Energy Policy, Elsevier, vol. 29(6), pages 465-478, May.
    21. Munasinghe, Mohan, 1980. "Costs Incurred by Residential Electricity Consumers Due to Power Failures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(4), pages 361-369, March.
    22. Hanemann, W Michael, 1991. "Willingness to Pay and Willingness to Accept: How Much Can They Differ?," American Economic Review, American Economic Association, vol. 81(3), pages 635-647, June.
    23. Ilkan, M. & Erdil, E. & Egelioglu, F., 2005. "Renewable energy resources as an alternative to modify the load curve in Northern Cyprus," Energy, Elsevier, vol. 30(5), pages 555-572.
    24. repec:aen:journl:1988si2-a09 is not listed on IDEAS
    25. Fredrik Carlsson & Peter Martinsson, 2003. "Design techniques for stated preference methods in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 281-294, April.
    26. Michael L. Telson, 1975. "The Economies of Alternative Levels of Reliability for Electric Power Generation Systems," Bell Journal of Economics, The RAND Corporation, vol. 6(2), pages 679-694, Autumn.
    27. repec:aen:journl:2009v30-02-a06 is not listed on IDEAS
    28. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
    29. 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.
    30. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    31. repec:aen:journl:2007v28-01-a04 is not listed on IDEAS
    32. Carlsson, Fredrik & Martinsson, Peter, 2006. "How much is too much? - An investigation of the effect of the number of choice sets, starting point and the choice of bid vectors in choice experiments," Working Papers in Economics 191, University of Gothenburg, Department of Economics.
    33. Birol, Ekin & Karousakis, Katia & Koundouri, Phoebe, 2006. "Using a choice experiment to account for preference heterogeneity in wetland attributes: The case of Cheimaditida wetland in Greece," Ecological Economics, Elsevier, vol. 60(1), pages 145-156, November.
    Full references (including those not matched with items on IDEAS)

    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. Ozbafli, Aygul & Jenkins, Glenn P., 2015. "The willingness to pay by households for improved reliability of electricity service in North Cyprus," Energy Policy, Elsevier, vol. 87(C), pages 359-369.
    2. Pepermans, Guido, 2011. "The value of continuous power supply for Flemish households," Energy Policy, Elsevier, vol. 39(12), pages 7853-7864.
    3. Amador, Francisco Javier & González, Rosa Marina & Ramos-Real, Francisco Javier, 2013. "Supplier choice and WTP for electricity attributes in an emerging market: The role of perceived past experience, environmental concern and energy saving behavior," Energy Economics, Elsevier, vol. 40(C), pages 953-966.
    4. Naghmeh Niroomand & Glenn P. Jenkins, 2015. "Estimating the Value of Life, Injury, and Travel Time Saved Using a Stated Preference Framework," Development Discussion Papers 2015-08, JDI Executive Programs.
    5. 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).
    6. Sardaro, Ruggiero & Faccilongo, Nicola & Roselli, Luigi, 2019. "Wind farms, farmland occupation and compensation: Evidences from landowners’ preferences through a stated choice survey in Italy," Energy Policy, Elsevier, vol. 133(C).
    7. Catalina M. Torres Figuerola & Nick Hanley & Sergio Colombo, 2011. "Incorrectly accounting for taste heterogeneity in choice experiments: Does it really matter for welfare measurement?," CRE Working Papers (Documents de treball del CRE) 2011/1, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
    8. Rai, Rajesh Kumar & Scarborough, Helen, 2012. "Estimating the public benefits of mitigating damages caused by invasive plant species in a subsistence economy," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124421, Australian Agricultural and Resource Economics Society.
    9. Carina Merz, 2008. "Monetaere Bewertung der Netzzuverlaessigkeit fuer eine effiziente Qualitaetsanreizregulierung," EWI Working Papers 2008-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    11. Adelina Gshwandtner & Cheul Jang & Richard McManus, 2017. "Improving Drinking Quality in South Korea: A Choice Experiment," Studies in Economics 1720, School of Economics, University of Kent.
    12. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    13. Aygul Ozbafli & Glenn P. Jenkins, 2015. "The Willingness To Pay By Households For Improved Reliability Of Electricity Service," Development Discussion Papers 2015-02, JDI Executive Programs.
    14. Luise Röpke, 2015. "Essays on the Integration of New Energy Sources into Existing Energy Systems," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 58, October.
    15. Francisco Guijarro & Prodromos Tsinaslanidis, 2020. "Analysis of Academic Literature on Environmental Valuation," IJERPH, MDPI, vol. 17(7), pages 1-14, March.
    16. Pepermans, Guido, 2014. "Valuing smart meters," Energy Economics, Elsevier, vol. 45(C), pages 280-294.
    17. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    18. Heng, Yan & Lu, Chao-Lin & Yu, Luqing & Gao, Zhifeng, 2020. "The heterogeneous preferences for solar energy policies among US households," Energy Policy, Elsevier, vol. 137(C).
    19. Gschwandtner, Adelina & Jang, Cheul & McManus, Richard, "undated". "Improving Drinking Water Quality in South Korea: A Choice Experiment," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273472, Agricultural Economics Society.
    20. Meles, Tensay Hadush & Mekonnen, Alemu & Beyene, Abebe D. & Hassen, Sied & Pattanayak, Subhrendu K. & Sebsibie, Samuel & Klug, Thomas & Jeuland, Marc, 2021. "Households' valuation of power outages in major cities of Ethiopia: An application of stated preference methods," Energy Economics, Elsevier, vol. 102(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    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:56:y:2016:i:c:p:443-452. 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.