IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v187y2023ics136403212300610x.html

Some searches may not work properly. We apologize for the inconvenience.

   My bibliography  Save this article

Value of lost load estimation for the South Korea's manufacturing sector—finding the gap between the supply and demand side

Author

Listed:
  • Jin, Taeyoung
  • Lee, Tae Eui
  • Kim, Dowon

Abstract

This study evaluates the value of lost load (VoLL) for the manufacturing sector in South Korea, focusing on the gap between the state-preference method and the production-side approach. The two methods are different in that the former measures the value of stable electricity in the view of consumer goods, while the latter calculates it in the view of producer goods. This study utilized an own-developed production side approach and the contingent valuation method (CVM) as a state-preference method. With data from a survey of 1023 firms, empirical research found the gap between the VoLLs by estimation methods, deriving production side VoLL that is six times higher than CVM results. This study presumes that this gap is mainly sourced from the weak recognition of respondents on the importance of electricity security owing to the absence of outage experience. Additional logit results also supported the hypothesis. Although the production side VoLL is more appropriate, CVM results are notable, being related to the public acceptability of the increases in electricity tariff. Therefore, it is recommended to reduce the gap between the two methods by improving the recognition of a stable electricity supply to secure flexible resources in the electricity market. It ultimately facilitates the construction of a compensation system of flexible resources.

Suggested Citation

  • Jin, Taeyoung & Lee, Tae Eui & Kim, Dowon, 2023. "Value of lost load estimation for the South Korea's manufacturing sector—finding the gap between the supply and demand side," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:rensus:v:187:y:2023:i:c:s136403212300610x
    DOI: 10.1016/j.rser.2023.113753
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403212300610X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2023.113753?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Ju-Hee Kim & Kyung-Kyu Lim & Seung-Hoon Yoo, 2019. "Evaluating Residential Consumers’ Willingness to Pay to Avoid Power Outages in South Korea," Sustainability, MDPI, vol. 11(5), pages 1-12, February.
    2. Aaron Praktiknjo, 2016. "The Value of Lost Load for Sectoral Load Shedding Measures: The German Case with 51 Sectors," Energies, MDPI, vol. 9(2), pages 1-17, February.
    3. 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.
    4. Pepermans, Guido, 2011. "The value of continuous power supply for Flemish households," Energy Policy, Elsevier, vol. 39(12), pages 7853-7864.
    5. Lo, Alex Y. & Jim, C.Y., 2015. "Protest response and willingness to pay for culturally significant urban trees: Implications for Contingent Valuation Method," Ecological Economics, Elsevier, vol. 114(C), pages 58-66.
    6. Majid Hashemi & Glenn P. Jenkins & Roop Jyoti & Aygul Ozbafli, 2018. "Evaluating the Cost to Industry of Electricity Outages," Development Discussion Papers 2018-14, JDI Executive Programs.
    7. Motz, Alessandra, 2021. "Security of supply and the energy transition: The households' perspective investigated through a discrete choice model with latent classes," Energy Economics, Elsevier, vol. 97(C).
    8. Röpke, Luise, 2013. "The development of renewable energies and supply security: A trade-off analysis," Energy Policy, Elsevier, vol. 61(C), pages 1011-1021.
    9. Jean Michel Glachant & Arthur Henriot, 2013. "Melting-pots and salad bowls: the current debate on electricity market design for RES integration," Cambridge Working Papers in Economics 1354, Faculty of Economics, University of Cambridge.
    10. Jed Cohen & Klaus Moeltner & Johannes Reichl & Michael Schmidthaler, 2018. "Effect of global warming on willingness to pay for uninterrupted electricity supply in European nations," Nature Energy, Nature, vol. 3(1), pages 37-45, January.
    11. Hu, Jing & Harmsen, Robert & Crijns-Graus, Wina & Worrell, Ernst & van den Broek, Machteld, 2018. "Identifying barriers to large-scale integration of variable renewable electricity into the electricity market: A literature review of market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2181-2195.
    12. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    13. Leahy, Eimear & Tol, Richard S.J., 2011. "An estimate of the value of lost load for Ireland," Energy Policy, Elsevier, vol. 39(3), pages 1514-1520, March.
    14. Ovaere, Marten & Heylen, Evelyn & Proost, Stef & Deconinck, Geert & Van Hertem, Dirk, 2019. "How detailed value of lost load data impact power system reliability decisions," Energy Policy, Elsevier, vol. 132(C), pages 1064-1075.
    15. Abrate, Graziano & Bruno, Clementina & Erbetta, Fabrizio & Fraquelli, Giovanni & Lorite-Espejo, Azahara, 2016. "A choice experiment on the willingness of households to accept power outages," Utilities Policy, Elsevier, vol. 43(PB), pages 151-164.
    16. Asher A. Blass & Saul Lach & Charles F. Manski, 2010. "Using Elicited Choice Probabilities To Estimate Random Utility Models: Preferences For Electricity Reliability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 421-440, May.
    17. Carlsson, Fredrik & Martinsson, Peter & Akay, Alpaslan, 2011. "The effect of power outages and cheap talk on willingness to pay to reduce outages," Energy Economics, Elsevier, vol. 33(5), pages 790-798, September.
    18. 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.
    19. Baarsma, Barbara E. & Hop, J. Peter, 2009. "Pricing power outages in the Netherlands," Energy, Elsevier, vol. 34(9), pages 1378-1386.
    20. Macmillan, Madeline & Murphy, Caitlin A. & Bazilian, Morgan D., 2022. "Exploring acute weather resilience: Meeting resilience and renewable goals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    21. Christian Growitsch & Raimund Malischek & Sebastian Nick & Heike Wetzel, 2015. "The Costs of Power Interruptions in Germany: A Regional and Sectoral Analysis," German Economic Review, Verein für Socialpolitik, vol. 16(3), pages 307-323, August.
    22. Cramton, Peter & Stoft, Steven, 2008. "Forward reliability markets: Less risk, less market power, more efficiency," Utilities Policy, Elsevier, vol. 16(3), pages 194-201, September.
    23. Wolf, André & Wenzel, Lars, 2016. "Regional diversity in the costs of electricity outages: Results for German counties," Utilities Policy, Elsevier, vol. 43(PB), pages 195-205.
    24. Zachariadis, Theodoros & Poullikkas, Andreas, 2012. "The costs of power outages: A case study from Cyprus," Energy Policy, Elsevier, vol. 51(C), pages 630-641.
    25. Castro, Rui & Faias, Sérgio & Esteves, Jorge, 2016. "The cost of electricity interruptions in Portugal: Valuing lost load by applying the production-function approach," Utilities Policy, Elsevier, vol. 40(C), pages 48-57.
    26. Linares, Pedro & Rey, Luis, 2013. "The costs of electricity interruptions in Spain. Are we sending the right signals?," Energy Policy, Elsevier, vol. 61(C), pages 751-760.
    27. Kim, Kayoung & Nam, Heekoo & Cho, Youngsang, 2015. "Estimation of the inconvenience cost of a rolling blackout in the residential sector: The case of South Korea," Energy Policy, Elsevier, vol. 76(C), pages 76-86.
    28. Cohen, Jed J. & Moeltner, Klaus & Reichl, Johannes & Schmidthaler, Michael, 2016. "Linking the value of energy reliability to the acceptance of energy infrastructure: Evidence from the EU," Resource and Energy Economics, Elsevier, vol. 45(C), pages 124-143.
    29. Hashemi, Majid, 2021. "The economic value of unsupplied electricity: Evidence from Nepal," Energy Economics, Elsevier, vol. 95(C).
    30. 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.
    31. Meles, Tensay Hadush, 2020. "Impact of power outages on households in developing countries: Evidence from Ethiopia," Energy Economics, Elsevier, vol. 91(C).
    32. Kim, Kayoung & Cho, Youngsang, 2017. "Estimation of power outage costs in the industrial sector of South Korea," Energy Policy, Elsevier, vol. 101(C), pages 236-245.
    33. de Nooij, Michiel & Koopmans, Carl & Bijvoet, Carlijn, 2007. "The value of supply security: The costs of power interruptions: Economic input for damage reduction and investment in networks," Energy Economics, Elsevier, vol. 29(2), pages 277-295, March.
    34. Richard S.J. Tol, 2007. "The Value of Lost Load," Papers WP214, Economic and Social Research Institute (ESRI).
    35. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    36. Douglas W. Caves & Joseph A. Herriges & Robert J. Windle, 1992. "The Cost of Electric Power Interruptions in the Industrial Sector: Estimates Derived from Interruptible Service Programs," Land Economics, University of Wisconsin Press, vol. 68(1), pages 49-61.
    37. Bishop, Richard C. & Heberlein, Thomas A., 1979. "Measuring Values Of Extramarket Goods: Are Indirect Measures Biased?," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    38. Minnaar, U.J. & Visser, W. & Crafford, J., 2017. "An economic model for the cost of electricity service interruption in South Africa," Utilities Policy, Elsevier, vol. 48(C), pages 41-50.
    39. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    40. Reichl, Johannes & Schmidthaler, Michael & Schneider, Friedrich, 2013. "The value of supply security: The costs of power outages to Austrian households, firms and the public sector," Energy Economics, Elsevier, vol. 36(C), pages 256-261.
    41. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    42. Coll-Mayor, Debora & Pardo, Juan & Perez-Donsion, Manuel, 2012. "Methodology based on the value of lost load for evaluating economical losses due to disturbances in the power quality," Energy Policy, Elsevier, vol. 50(C), pages 407-418.
    43. Praktiknjo, Aaron J., 2014. "Stated preferences based estimation of power interruption costs in private households: An example from Germany," Energy, Elsevier, vol. 76(C), pages 82-90.
    44. Praktiknjo, Aaron J. & Hähnel, Alexander & Erdmann, Georg, 2011. "Assessing energy supply security: Outage costs in private households," Energy Policy, Elsevier, vol. 39(12), pages 7825-7833.
    45. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
    46. Christian Growitsch & Raimund Malischek & Sebastian Nick & Heike Wetzel, 2015. "The Costs of Power Interruptions in Germany: A Regional and Sectoral Analysis," German Economic Review, Verein für Socialpolitik, vol. 16(3), pages 307-323, August.
    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. Motz, Alessandra, 2021. "Security of supply and the energy transition: The households' perspective investigated through a discrete choice model with latent classes," Energy Economics, Elsevier, vol. 97(C).
    2. Chen, Hao & Chen, Xi & Niu, Jinye & Xiang, Mengyu & He, Weijun & Küfeoğlu, Sinan, 2021. "Estimating the marginal cost of reducing power outage durations in China: A parametric distance function approach," Energy Policy, Elsevier, vol. 155(C).
    3. Ovaere, Marten & Heylen, Evelyn & Proost, Stef & Deconinck, Geert & Van Hertem, Dirk, 2019. "How detailed value of lost load data impact power system reliability decisions," Energy Policy, Elsevier, vol. 132(C), pages 1064-1075.
    4. Elie Bouri & Joseph El Assad, 2016. "The Lebanese Electricity Woes: An Estimation of the Economical Costs of Power Interruptions," Energies, MDPI, vol. 9(8), pages 1-12, July.
    5. Kim, Kayoung & Nam, Heekoo & Cho, Youngsang, 2015. "Estimation of the inconvenience cost of a rolling blackout in the residential sector: The case of South Korea," Energy Policy, Elsevier, vol. 76(C), pages 76-86.
    6. Landegren, Finn & Johansson, Jonas & Samuelsson, Olof, 2019. "Quality of supply regulations versus societal priorities regarding electricity outage consequences: Case study in a Swedish context," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    7. 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.
    8. Thomas, Douglas & Fung, Juan, 2022. "Measuring downstream supply chain losses due to power disturbances," Energy Economics, Elsevier, vol. 114(C).
    9. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    10. Aweke, Abinet Tilahun & Navrud, Ståle, 2022. "Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries," Energy Economics, Elsevier, vol. 109(C).
    11. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    12. Wolf, André & Wenzel, Lars, 2016. "Regional diversity in the costs of electricity outages: Results for German counties," Utilities Policy, Elsevier, vol. 43(PB), pages 195-205.
    13. Wolf, André & Wenzel, Lars, 2015. "Welfare implications of power rationing: An application to Germany," Energy, Elsevier, vol. 84(C), pages 53-62.
    14. Castro, Rui & Faias, Sérgio & Esteves, Jorge, 2016. "The cost of electricity interruptions in Portugal: Valuing lost load by applying the production-function approach," Utilities Policy, Elsevier, vol. 40(C), pages 48-57.
    15. Naghmeh Niroomand & Glenn P. Jenkins, 2018. "Estimation of Households’ and Businesses’ Willingness to Pay for Improved Reliability of Electricity Supply in Nepal," Development Discussion Papers 2018-05, JDI Executive Programs.
    16. Abrate, Graziano & Bruno, Clementina & Erbetta, Fabrizio & Fraquelli, Giovanni & Lorite-Espejo, Azahara, 2016. "A choice experiment on the willingness of households to accept power outages," Utilities Policy, Elsevier, vol. 43(PB), pages 151-164.
    17. Csereklyei, Zsuzsanna & Qu, Songze & Ancev, Tihomir, 2021. "Are electricity system outages and the generation mix related? Evidence from NSW, Australia," Energy Economics, Elsevier, vol. 99(C).
    18. Brown, David P. & Muehlenbachs, Lucija, 2023. "The Value of Electricity Reliability: Evidence from Battery Adoption," Working Papers 2023-5, University of Alberta, Department of Economics, revised 26 Jul 2024.
    19. Lee, Juyong & Cho, Youngsang, 2020. "Estimation of the usage fee for peer-to-peer electricity trading platform: The case of South Korea," Energy Policy, Elsevier, vol. 136(C).
    20. 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.

    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:rensus:v:187:y:2023:i:c:s136403212300610x. 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/wps/find/journaldescription.cws_home/600126/description#description .

    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.