IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v180y2023ics0301421523002306.html
   My bibliography  Save this article

Smart meter-related data privacy concerns and dynamic electricity tariffs: Evidence from a stated choice experiment

Author

Listed:
  • von Loessl, Victor

Abstract

Data privacy concerns are frequently raised to explain households’ reluctance to have smart meters. These meters are a prerequisite for future energy systems as they enable demand-side management measures, such as dynamic electricity tariffs. Consequently, two questions arise: First, what are the determinants of smart meter-related data privacy concerns? Second, how do these concerns affect households’ preferences concerning dynamic electricity tariffs? Based on a representative household survey conducted in Germany, I find linear and negative relationships between privacy concerns and respondents’ general level of trust and technological affinity. Interestingly, high levels of energy-related financial literacy and environmental values are associated with a greater probability of expressing either low or high privacy concerns. Using a choice experiment, I subsequently identify smart meter-related data privacy concerns as a mediating factor in households’ aversion to dynamic pricing. Furthermore, I find heterogeneous effects of additional information regarding the handling of consumption data on respondents’ aversion to dynamic electricity tariffs. Additional information primarily reduced the aversion of respondents with high data privacy concerns. This finding has potentially far-reaching implications for other products and services that utilize information about individual behavior.

Suggested Citation

  • von Loessl, Victor, 2023. "Smart meter-related data privacy concerns and dynamic electricity tariffs: Evidence from a stated choice experiment," Energy Policy, Elsevier, vol. 180(C).
  • Handle: RePEc:eee:enepol:v:180:y:2023:i:c:s0301421523002306
    DOI: 10.1016/j.enpol.2023.113645
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421523002306
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2023.113645?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. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    2. Annamaria Lusardi & Olivia S. Mitchell, 2008. "Planning and Financial Literacy: How Do Women Fare?," American Economic Review, American Economic Association, vol. 98(2), pages 413-417, May.
    3. 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.
    4. Julia Blasch, Nina Boogen, Claudio Daminato, and Massimo Filippini, 2021. "Empower the Consumer! Energy-related Financial Literacy and its Implications for Economic Decision Making," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    5. 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).
    6. Schleich, Joachim & Gassmann, Xavier & Meissner, Thomas & Faure, Corinne, 2019. "A large-scale test of the effects of time discounting, risk aversion, loss aversion, and present bias on household adoption of energy-efficient technologies," Energy Economics, Elsevier, vol. 80(C), pages 377-393.
    7. 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.
    8. 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.
    9. 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.
    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. 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.
    12. 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.
    13. 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.
    14. Miwa Nakai & Victor von Loessl & Heike Wetzel, 2022. "Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan," MAGKS Papers on Economics 202213, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. 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.
    16. 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.
    17. 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..
    18. Nilkanth Kumar, 2019. "A model-based clustering approach for analyzing energy-related financial literacy and its determinants," CER-ETH Economics working paper series 19/312, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    19. 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.
    20. Claudia Schwirplies & Andreas Ziegler, 2016. "Offset carbon emissions or pay a price premium for avoiding them? A cross-country analysis of motives for climate protection activities," Applied Economics, Taylor & Francis Journals, vol. 48(9), pages 746-758, February.
    21. 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.
    22. 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.
    23. Yilmaz, Selin & Xu, Xiaojing & Cabrera, Daniel & Chanez, Cédric & Cuony, Peter & Patel, Martin K., 2020. "Analysis of demand-side response preferences regarding electricity tariffs and direct load control: Key findings from a Swiss survey," Energy, Elsevier, vol. 212(C).
    24. 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.
    25. 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.
    26. 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.
    27. Swantje Sundt & Katrin Rehdanz & Jürgen Meyerhoff, 2020. "Consumers’ Willingness to Accept Time-of-Use Tariffs for Shifting Electricity Demand," Energies, MDPI, vol. 13(8), pages 1-17, April.
    28. Darby, Sarah J. & McKenna, Eoghan, 2012. "Social implications of residential demand response in cool temperate climates," Energy Policy, Elsevier, vol. 49(C), pages 759-769.
    29. Stephen P. Holland & Erin T. Mansur, 2006. "The Short-Run Effects of Time-Varying Prices in Competitive Electricity Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 127-156.
    30. 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.
    31. Beckel, Christian & Sadamori, Leyna & Staake, Thorsten & Santini, Silvia, 2014. "Revealing household characteristics from smart meter data," Energy, Elsevier, vol. 78(C), pages 397-410.
    32. Ziegler, Andreas, 2021. "New Ecological Paradigm meets behavioral economics: On the relationship between environmental values and economic preferences," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    33. 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.
    34. Kotchen, Matthew J. & Moore, Michael R., 2007. "Private provision of environmental public goods: Household participation in green-electricity programs," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 1-16, January.
    35. Wilson, Charlie & Hargreaves, Tom & Hauxwell-Baldwin, Richard, 2017. "Benefits and risks of smart home technologies," Energy Policy, Elsevier, vol. 103(C), pages 72-83.
    36. 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.
    37. Gerpott, Torsten J. & Paukert, Mathias, 2013. "Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany," Energy Policy, Elsevier, vol. 61(C), pages 483-495.
    38. McKenna, Eoghan & Richardson, Ian & Thomson, Murray, 2012. "Smart meter data: Balancing consumer privacy concerns with legitimate applications," Energy Policy, Elsevier, vol. 41(C), pages 807-814.
    39. Costa, Dora L. & Kahn, Matthew E., 2013. "Do liberal home owners consume less electricity? A test of the voluntary restraint hypothesis," Economics Letters, Elsevier, vol. 119(2), pages 210-212.
    40. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
    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. Miwa Nakai & Victor von Loessl & Heike Wetzel, 2022. "Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan," MAGKS Papers on Economics 202213, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Daniel Engler & Gunnar Gutsche & Amantia Simixhiu & Andreas Ziegler, 2022. "Social norms and individual climate protection activities: A framed field experiment for Germany," MAGKS Papers on Economics 202230, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Toshi H. Arimura & Elke D. Groh & Miwa Nakai & Andreas Ziegler, 2022. "The causal effect of private and organizational climate-related identity on climate protection activities: Evidence from a framed field experiment in Japan," MAGKS Papers on Economics 202229, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    4. Thilo K.G. Haverkamp & Heinz Welsch & Andreas Ziegler, 2022. "The Relationship between Pro-environmental Behavior, Economic Preferences, and Life Satisfaction: Empirical Evidence from Germany," MAGKS Papers on Economics 202204, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Groh, Elke D. & Ziegler, Andreas, 2022. "On the relevance of values, norms, and economic preferences for electricity consumption," Ecological Economics, Elsevier, vol. 192(C).
    6. Groh, Elke D. & Ziegler, Andreas, 2020. "On the relevance of economic preferences, values, norms, and socio-demographics for electricity consumption," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224587, Verein für Socialpolitik / German Economic Association.
    7. Gerhardt, Michaela V. & Kanberger, Elke D. & Ziegler, Andreas, 2023. "The Relevance of Life-Cycle CO2 Emissions for Vehicle Purchase Decisions: A Stated Choice Experiment for Germany," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277675, Verein für Socialpolitik / German Economic Association.
    8. Andreas Ziegler, 2020. "New Ecological Paradigm meets behavioral economics: On the relationship between environmental values and economic preferences," MAGKS Papers on Economics 202020, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. Engler, Daniel & Ziegler, Andreas & Gutsche, Gunnar & Simixhiu, Amantia, 2023. "Social Norms and Individual Climate Protection Activities: A Framed Field Experiment for Germany," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277662, Verein für Socialpolitik / German Economic Association.
    10. Ziegler, Andreas, 2021. "New Ecological Paradigm meets behavioral economics: On the relationship between environmental values and economic preferences," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    11. Gutsche, Gunnar & Wetzel, Heike & Ziegler, Andreas, 2023. "Determinants of individual sustainable investment behavior - A framed field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 491-508.
    12. Ziegler, Andreas, 2019. "New Ecological Paradigm meets behavioral economics: On the relationship between environmental values and economic preferences," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203562, Verein für Socialpolitik / German Economic Association.
    13. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
    14. Michaela V. Gerhardt & Elke D. Kanberger & Andreas Ziegler, 2023. "The Relevance of Life-Cycle CO2 Emissions for Vehicle Purchase Decisions: A Stated Choice Experiment for Germany," MAGKS Papers on Economics 202305, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. Elke D. Groh & Andreas Ziegler, 2021. "On the relevance of values, norms, and economic preferences for electricity consumption," MAGKS Papers on Economics 202107, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    16. Gunnar Gutsche & Heike Wetzel & Andreas Ziegler, 2020. "Determinants of individual sustainable investment behavior - A framed field experiment," MAGKS Papers on Economics 202033, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    17. Gutsche, Gunnar & Wetzel, Heike & Ziegler, Andreas, 2020. "How relevant are economic preferences and personality traits for individual sustainable investment behavior? A framed field experiment," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224542, Verein für Socialpolitik / German Economic Association.
    18. 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).
    19. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    20. Kanberger, Elke D. & Ziegler, Andreas, 2023. "On the preferences for an environmentally friendly and fair energy transition: A stated choice experiment for Germany," Energy Policy, Elsevier, vol. 182(C).

    More about this item

    Keywords

    Dynamic electricity tariffs; Smart meter; Data privacy concerns; Stated choice experiment;
    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
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    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:enepol:v:180:y:2023:i:c:s0301421523002306. 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/enpol .

    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.