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Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan

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  • Nakai, Miwa
  • von Loessl, Victor
  • Wetzel, Heike

Abstract

We evaluate a stated choice experiment on dynamic electricity tariffs based on two representative household surveys from Germany and Japan. Our results indicate significant differences between German and Japanese respondents’ preferences towards dynamic tariffs, with the latter generally being more open to dynamic pricing. Furthermore, our unique experimental design allows to disentangle preferences for inter- and intraday price changes, which are two essential tariff characteristics. In this respect, our results suggest that households need significant compensation in order to accept frequently changing price patterns. In contrast, they are mostly indifferent with respect to the number of price changes per day. Besides the implementation of an environmental treatment message, we additionally investigate tariff characteristics, which aim at overcoming household acceptance barriers. To this end, a restrictive use of households’ consumption data, cost caps, as well as highlighting the environmental benefits associated to dynamic tariffs present themselves as suitable tools to reduce households’ aversion to dynamic electricity tariffs.

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  • Nakai, Miwa & von Loessl, Victor & Wetzel, Heike, 2024. "Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan," Ecological Economics, Elsevier, vol. 223(C).
  • Handle: RePEc:eee:ecolec:v:223:y:2024:i:c:s0921800924001368
    DOI: 10.1016/j.ecolecon.2024.108239
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    as
    1. Koichiro Ito & Takanori Ida & Makoto Tanaka, 2023. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," American Economic Review, American Economic Association, vol. 113(11), pages 2937-2973, November.
    2. Mengelkamp, Esther & Schönland, Thomas & Huber, Julian & Weinhardt, Christof, 2019. "The value of local electricity - A choice experiment among German residential customers," Energy Policy, Elsevier, vol. 130(C), pages 294-303.
    3. Huh, Sung-Yoon & Woo, JongRoul & Lim, Sesil & Lee, Yong-Gil & Kim, Chang Seob, 2015. "What do customers want from improved residential electricity services? Evidence from a choice experiment," Energy Policy, Elsevier, vol. 85(C), pages 410-420.
    4. Fait, Larissa & Groh, Elke D. & Wetzel, Heike, 2022. "“I take the green one”: The choice of regional green electricity contracts in the light of regional and environmental identity," Energy Policy, Elsevier, vol. 163(C).
    5. Severin Borenstein & James B. Bushnell, 2022. "Do Two Electricity Pricing Wrongs Make a Right? Cost Recovery, Externalities, and Efficiency," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 80-110, November.
    6. Faruqui, Ahmad & Harris, Dan & Hledik, Ryan, 2010. "Unlocking the [euro]53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment," Energy Policy, Elsevier, vol. 38(10), pages 6222-6231, October.
    7. Naomi E. Feldman, 2010. "Time Is Money: Choosing between Charitable Activities," American Economic Journal: Economic Policy, American Economic Association, vol. 2(1), pages 103-130, February.
    8. Boeri, Marco & Longo, Alberto, 2017. "The importance of regret minimization in the choice for renewable energy programmes: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 63(C), pages 253-260.
    9. Ruokamo, Enni & Kopsakangas-Savolainen, Maria & Meriläinen, Teemu & Svento, Rauli, 2019. "Towards flexible energy demand – Preferences for dynamic contracts, services and emissions reductions," Energy Economics, Elsevier, vol. 84(C).
    10. Murakami, Kayo & Ida, Takanori & Tanaka, Makoto & Friedman, Lee, 2015. "Consumers' willingness to pay for renewable and nuclear energy: A comparative analysis between the US and Japan," Energy Economics, Elsevier, vol. 50(C), pages 178-189.
    11. Glenk, Klaus & Meyerhoff, Jürgen & Akaichi, Faical & Martin-Ortega, Julia, 2019. "Revisiting cost vector effects in discrete choice experiments," Resource and Energy Economics, Elsevier, vol. 57(C), pages 135-155.
    12. Ziegler, Andreas, 2017. "Political orientation, environmental values, and climate change beliefs and attitudes: An empirical cross country analysis," Energy Economics, Elsevier, vol. 63(C), pages 144-153.
    13. Lorraine Whitmarsh, 2008. "Are flood victims more concerned about climate change than other people? The role of direct experience in risk perception and behavioural response," Journal of Risk Research, Taylor & Francis Journals, vol. 11(3), pages 351-374, April.
    14. Meredith Fowlie & Catherine Wolfram & Patrick Baylis & C Anna Spurlock & Annika Todd-Blick & Peter Cappers, 2021. "Default Effects And Follow-On Behaviour: Evidence From An Electricity Pricing Program [The Impact of Presumed Consent Legislation on Cadaveric Oorgan Donation: A Cross-country Study”]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 2886-2934.
    15. 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.
    16. Burns, Kelly & Mountain, Bruce, 2021. "Do households respond to Time-Of-Use tariffs? Evidence from Australia," Energy Economics, Elsevier, vol. 95(C).
    17. Richter, Laura-Lucia & Pollitt, Michael G., 2018. "Which smart electricity service contracts will consumers accept? The demand for compensation in a platform market," Energy Economics, Elsevier, vol. 72(C), pages 436-450.
    18. Davis, Alexander L. & Krishnamurti, Tamar & Fischhoff, Baruch & Bruine de Bruin, Wandi, 2013. "Setting a standard for electricity pilot studies," Energy Policy, Elsevier, vol. 62(C), pages 401-409.
    19. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David B. Huffman & Uwe Sunde, 2017. "Global Evidence on Economic Preferences," NBER Working Papers 23943, National Bureau of Economic Research, Inc.
    20. Morita, Tamaki & Managi, Shunsuke, 2015. "Consumers’ willingness to pay for electricity after the Great East Japan Earthquake," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 82-105.
    21. Natalia Fabra & David Rapson & Mar Reguant & Jingyuan Wang, 2021. "Estimating the Elasticity to Real-Time Pricing: Evidence from the Spanish Electricity Market," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 425-429, May.
    22. Katrina Jessoe & David Rapson, 2014. "Knowledge Is (Less) Power: Experimental Evidence from Residential Energy Use," American Economic Review, American Economic Association, vol. 104(4), pages 1417-1438, April.
    23. Anthony Atkinson & Timothy Smeeding & Lee Rainwater, 1994. "Income Distribution in European Countries," LIS Working papers 121, LIS Cross-National Data Center in Luxembourg.
    24. Severin Borenstein, 2005. "The Long-Run Efficiency of Real-Time Electricity Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 93-116.
    25. Armin Falk & Anke Becker & Thomas Dohmen & David Huffman & Uwe Sunde, 2023. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," Management Science, INFORMS, vol. 69(4), pages 1935-1950, April.
    26. Kowalska-Pyzalska, Anna & Maciejowska, Katarzyna & Suszczyński, Karol & Sznajd-Weron, Katarzyna & Weron, Rafał, 2014. "Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs," Energy Policy, Elsevier, vol. 72(C), pages 164-174.
    27. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    28. Brouwer, Anne Sjoerd & van den Broek, Machteld & Zappa, William & Turkenburg, Wim C. & Faaij, André, 2016. "Least-cost options for integrating intermittent renewables in low-carbon power systems," Applied Energy, Elsevier, vol. 161(C), pages 48-74.
    29. Gambardella, Christian & Pahle, Michael, 2018. "Time-varying electricity pricing and consumer heterogeneity: Welfare and distributional effects with variable renewable supply," Energy Economics, Elsevier, vol. 76(C), pages 257-273.
    30. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David Huffman & Uwe Sunde, 2018. "Global Evidence on Economic Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1645-1692.
    31. Buryk, Stephen & Mead, Doug & Mourato, Susana & Torriti, Jacopo, 2015. "Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure," Energy Policy, Elsevier, vol. 80(C), pages 190-195.
    32. Campbell, Robert M. & Venn, Tyron J. & Anderson, Nathaniel M., 2018. "Heterogeneity in Preferences for Woody Biomass Energy in the US Mountain West," Ecological Economics, Elsevier, vol. 145(C), pages 27-37.
    33. Schwirplies, Claudia & Dütschke, Elisabeth & Schleich, Joachim & Ziegler, Andreas, 2019. "The willingness to offset CO2 emissions from traveling: Findings from discrete choice experiments with different framings," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    34. 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.
    35. Shariatzadeh, Farshid & Mandal, Paras & Srivastava, Anurag K., 2015. "Demand response for sustainable energy systems: A review, application and implementation strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 343-350.
    36. Yumi Yoshida & Kenta Tanaka & Shunsuke Managi, 2017. "Which dynamic pricing rule is most preferred by consumers?—Application of choice experiment," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-11, December.
    37. Allcott, Hunt, 2011. "Rethinking real-time electricity pricing," Resource and Energy Economics, Elsevier, vol. 33(4), pages 820-842.
    38. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    39. Scott P. Burger, Christopher R. Knittel, Ignacio J. Perez-Arriaga, Ian Schneider, and Frederik vom Scheidt, 2020. "The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    40. Stephen P. Holland & Erin T. Mansur, 2006. "The Short-Run Effects of Time-Varying Prices in Competitive Electricity Markets," The Energy Journal, , vol. 27(4), pages 127-156, October.
    41. Frank A. Wolak, 2011. "Do Residential Customers Respond to Hourly Prices? Evidence from a Dynamic Pricing Experiment," American Economic Review, American Economic Association, vol. 101(3), pages 83-87, May.
    42. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    43. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Washington, Simon & Perrons, Robert K. & Page, Lionel, 2020. "Preference heterogeneity in mode choice for car-sharing and shared automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 633-650.
    44. 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.
    45. Scott P. Burger & Christopher R. Knittel & Ignacio J. Perez-Arriaga & Ian Schneider & Frederik vom Scheidt, 2020. "The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs," The Energy Journal, , vol. 41(1), pages 199-240, January.
    46. Dütschke, Elisabeth & Paetz, Alexandra-Gwyn, 2013. "Dynamic electricity pricing—Which programs do consumers prefer?," Energy Policy, Elsevier, vol. 59(C), pages 226-234.
    47. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    48. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
    49. Pepermans, Guido, 2014. "Valuing smart meters," Energy Economics, Elsevier, vol. 45(C), pages 280-294.
    50. Charles Pébereau & Kevin Remmy, 2022. "Barriers to Real-Time Electricity Pricing: Evidence From New Zealand," CRC TR 224 Discussion Paper Series crctr224_2022_339, University of Bonn and University of Mannheim, Germany.
    51. Severin Borenstein, 2005. "The Long-Run Efficiency of Real-Time Electricity Pricing," The Energy Journal, , vol. 26(3), pages 93-116, July.
    52. Goutam Dutta & Krishnendranath Mitra, 2017. "A literature review on dynamic pricing of electricity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1131-1145, October.
    53. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
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    More about this item

    Keywords

    Dynamic electricity tariffs; Stated choice experiment; Household acceptance barriers; Tariff design;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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