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Impact of social comparison on preferences for Demand Side Management in Poland

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  • Gołębiowska, Bernadeta
  • Bartczak, Anna
  • Budziński, Wiktor

Abstract

The study investigates the preferences for Demand Side Management programs for electricity usage in Poland. Using stated preference data generated from a choice experiment with a large representative sample of the Polish population, we estimate willingness to accept changes in electricity consumption. We also explore the impact of social comparison of households’ energy use on the acceptance of Demand Side Management as a potential driver of preference heterogeneity with respect to electricity services.

Suggested Citation

  • Gołębiowska, Bernadeta & Bartczak, Anna & Budziński, Wiktor, 2021. "Impact of social comparison on preferences for Demand Side Management in Poland," Energy Policy, Elsevier, vol. 149(C).
  • Handle: RePEc:eee:enepol:v:149:y:2021:i:c:s0301421520307357
    DOI: 10.1016/j.enpol.2020.112024
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    as
    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Katrina Jessoe & Gabriel E. Lade & Frank Loge & Edward Spang, 2021. "Spillovers from Behavioral Interventions: Experimental Evidence from Water and Energy Use," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 315-346.
    3. Kandul, Serhiy & Lang, Ghislaine & Lanz, Bruno, 2020. "Social comparison and energy conservation in a collective action context: A field experiment," Economics Letters, Elsevier, vol. 188(C).
    4. 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.
    5. Petra Mesarić & Damira Đukec & Slavko Krajcar, 2017. "Exploring the Potential of Energy Consumers in Smart Grid Using Focus Group Methodology," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    6. World Bank Group, 2018. "Poland Energy Transition," World Bank Publications - Reports 31061, The World Bank Group.
    7. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    8. 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).
    9. Karlõševa, Aljona & Nõmmann, Sulev & Nõmmann, Tea & Urbel-Piirsalu, Evelin & Budziński, Wiktor & Czajkowski, Mikołaj & Hanley, Nick, 2016. "Marine trade-offs: Comparing the benefits of off-shore wind farms and marine protected areas," Energy Economics, Elsevier, vol. 55(C), pages 127-134.
    10. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    11. Rafik Nafkha & Krzysztof Gajowniczek & Tomasz Ząbkowski, 2018. "Do Customers Choose Proper Tariff? Empirical Analysis Based on Polish Data Using Unsupervised Techniques," Energies, MDPI, vol. 11(3), pages 1-17, February.
    12. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    13. Daniel, Aemiro Melkamu & Persson, Lars & Sandorf, Erlend Dancke, 2018. "Accounting for elimination-by-aspects strategies and demand management in electricity contract choice," Energy Economics, Elsevier, vol. 73(C), pages 80-90.
    14. Warren, Peter, 2014. "A review of demand-side management policy in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 941-951.
    15. Broberg, Thomas & Persson, Lars, 2016. "Is our everyday comfort for sale? Preferences for demand management on the electricity market," Energy Economics, Elsevier, vol. 54(C), pages 24-32.
    16. Andrius Kažukauskas & Thomas Broberg & Jūratė Jaraitė, 2021. "Social Comparisons in Real Time: A Field Experiment of Residential Electricity and Water Use," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 558-592, April.
    17. 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.
    18. Andor, Mark A. & Gerster, Andreas & Peters, Jörg & Schmidt, Christoph M., 2020. "Social Norms and Energy Conservation Beyond the US," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    19. Kempton, Willett & Layne, Linda L., 1994. "The consumer's energy analysis environment," Energy Policy, Elsevier, vol. 22(10), pages 857-866, October.
    20. Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
    21. Walawalkar, Rahul & Fernands, Stephen & Thakur, Netra & Chevva, Konda Reddy, 2010. "Evolution and current status of demand response (DR) in electricity markets: Insights from PJM and NYISO," Energy, Elsevier, vol. 35(4), pages 1553-1560.
    22. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    23. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    24. Xu, Xiaojing & Chen, Chien-fei & Zhu, Xiaojuan & Hu, Qinran, 2018. "Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option," Energy, Elsevier, vol. 147(C), pages 1278-1287.
    25. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    26. 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.
    27. Mozumder, Pallab & Vásquez, William F. & Marathe, Achla, 2011. "Consumers' preference for renewable energy in the southwest USA," Energy Economics, Elsevier, vol. 33(6), pages 1119-1126.
    28. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    29. Delmas, Magali A. & Lessem, Neil, 2014. "Saving power to conserve your reputation? The effectiveness of private versus public information," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 353-370.
    30. Steinberger, Julia K. & van Niel, Johan & Bourg, Dominique, 2009. "Profiting from negawatts: Reducing absolute consumption and emissions through a performance-based energy economy," Energy Policy, Elsevier, vol. 37(1), pages 361-370, January.
    31. Shen, Meng & Lu, Yujie & Wei, Kua Harn & Cui, Qingbin, 2020. "Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    32. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    33. Vesterberg, Mattias & Kiran B. Krishnamurthy, Chandra, 2014. "Residential End use electricity demand and the implications for real time pricing in Sweden," Umeå Economic Studies 903, Umeå University, Department of Economics, revised 15 Apr 2015.
    34. Fei Wang & Liming Liu & Yili Yu & Gang Li & Jessica Li & Miadreza Shafie-khah & João P. S. Catalão, 2018. "Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response," Energies, MDPI, vol. 11(4), pages 1-22, March.
    35. Horne, Christine & Kennedy, Emily Huddart, 2017. "The power of social norms for reducing and shifting electricity use," Energy Policy, Elsevier, vol. 107(C), pages 43-52.
    36. José A. Pellerano & Michael K. Price & Steven L. Puller & Gonzalo E. Sánchez, 2017. "Do Extrinsic Incentives Undermine Social Norms? Evidence from a Field Experiment in Energy Conservation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 413-428, July.
    37. Daniel A. Brent & Corey Lott & Michael Taylor & Joseph Cook & Kim Rollins & Shawn Stoddard, 2017. "Are Normative Appeals Moral Taxes? Evidence from a Field Experiment on Water Conservation," Departmental Working Papers 2017-07, Department of Economics, Louisiana State University.
    38. Dütschke, Elisabeth & Paetz, Alexandra-Gwyn, 2013. "Dynamic electricity pricing—Which programs do consumers prefer?," Energy Policy, Elsevier, vol. 59(C), pages 226-234.
    39. Richard T. Carson & Miko_aj Czajkowski, 2014. "The discrete choice experiment approach to environmental contingent valuation," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 9, pages 202-235, Edward Elgar Publishing.
    40. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    41. Ming, Zeng & Song, Xue & Mingjuan, Ma & Lingyun, Li & Min, Cheng & Yuejin, Wang, 2013. "Historical review of demand side management in China: Management content, operation mode, results assessment and relative incentives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 470-482.
    42. Andor, Mark A. & Fels, Katja M., 2018. "Behavioral Economics and Energy Conservation – A Systematic Review of Non-price Interventions and Their Causal Effects," Ecological Economics, Elsevier, vol. 148(C), pages 178-210.
    43. Owens, Susan & Driffill, Louise, 2008. "How to change attitudes and behaviours in the context of energy," Energy Policy, Elsevier, vol. 36(12), pages 4412-4418, December.
    44. Brülisauer, Marcel & Goette, Lorenz & Jiang, Zhengyi & Schmitz, Jan & Schubert, Renate, 2020. "Appliance-specific feedback and social comparisons: Evidence from a field experiment on energy conservation," Energy Policy, Elsevier, vol. 145(C).
    45. Zhou, Kaile & Yang, Shanlin, 2015. "Demand side management in China: The context of China’s power industry reform," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 954-965.
    46. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
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    3. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Residential consumer preferences to demand response: Analysis of different motivators to enroll in direct load control demand response," Energy Policy, Elsevier, vol. 173(C).
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    5. Lisa Diamond & Alexander Mirnig & Peter Fröhlich, 2023. "Encouraging Trust in Demand-Side Management via Interaction Design: An Automation Level Based Trust Framework," Energies, MDPI, vol. 16(5), pages 1-31, March.

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    More about this item

    Keywords

    Choice experiment; Demand side management; Electricity; Households; Social comparison; Willingness to accept;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D19 - Microeconomics - - Household Behavior - - - Other
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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