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An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project

Author

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  • Sylwia Słupik

    (Department of Social and Economic Policy, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland)

  • Joanna Kos-Łabędowicz

    (Department of International Economic Relations, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland)

  • Joanna Trzęsiok

    (Department of Economic and Financial Analysis, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland)

Abstract

Energy consumption impacts the environment, humans’ well-being, comfort and quality of life. The article aimed to develop the original model of energy consumer segmentation, based on behavioural variables, which influence consumer decisions and motivations regardless of demographic, geographic and socio-cultural differences. The innovative contribution is the segmentation procedure, which fills the existing research gap and can be treated as a universal tool serving various groups of stakeholders for creating and implementing sustainable development policies. The methodology used for the segmentation is based on the original algorithm and involves classifying a consumer into the most appropriate group based on the measurement of the distance between the ideal class representative and a particular respondent. Several distance measures (e.g., Sokal–Michener, Goodall, Lin) were used, while the similarity of those classifications was verified using the adjusted Rand index. The segmentation involved adopting—a priori—five basic classes of consumers, varying in terms of motivation to save energy. The validation performed on a sample of 1606 respondents, carried out as part of the eco-bot project, verified both the classification approach adopted in the study and the accuracy of the assumptions. The application of the distance measures chosen for the study allowed for the assignment of 96.1% of the respondents to the appropriate classes, which yielded the following distribution: EI (33.9% of the respondents); DS (33.1%), AE (17.2%), O (7%) and I (4.9%).

Suggested Citation

  • Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project," Energies, MDPI, vol. 14(12), pages 1-26, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3556-:d:575229
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    1. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    2. Michelsen, Carl Christian & Madlener, Reinhard, 2013. "Motivational factors influencing the homeowners’ decisions between residential heating systems: An empirical analysis for Germany," Energy Policy, Elsevier, vol. 57(C), pages 221-233.
    3. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    4. Botetzagias, Iosif & Malesios, Chrisovaladis & Poulou, Dimitra, 2014. "Electricity curtailment behaviors in Greek households: Different behaviors, different predictors," Energy Policy, Elsevier, vol. 69(C), pages 415-424.
    5. Boudet, Hilary S. & Flora, June A. & Armel, K. Carrie, 2016. "Clustering household energy-saving behaviours by behavioural attribute," Energy Policy, Elsevier, vol. 92(C), pages 444-454.
    6. Falcone, Pasquale Marcello & Lopolito, Antonio & Sica, Edgardo, 2019. "Instrument mix for energy transition: A method for policy formulation," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    7. Tabi, Andrea & Hille, Stefanie Lena & Wüstenhagen, Rolf, 2014. "What makes people seal the green power deal? — Customer segmentation based on choice experiment in Germany," Ecological Economics, Elsevier, vol. 107(C), pages 206-215.
    8. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    9. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    10. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    11. Stefanie Lena Hille, 2016. "The Myth of the Unscrupulous Energy User’s Dilemma: Evidence from Switzerland," Journal of Consumer Policy, Springer, vol. 39(3), pages 327-347, September.
    12. Xuan Liu & Qiancheng Wang & Hsi-Hsien Wei & Hung-Lin Chi & Yaotian Ma & Izzy Yi Jian, 2020. "Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    13. Axsen, Jonn & TyreeHageman, Jennifer & Lentz, Andy, 2012. "Lifestyle practices and pro-environmental technology," Ecological Economics, Elsevier, vol. 82(C), pages 64-74.
    14. Zhang, Tao & Siebers, Peer-Olaf & Aickelin, Uwe, 2012. "A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK," Energy Policy, Elsevier, vol. 47(C), pages 102-110.
    15. Jensen, Jesper Ole, 2008. "Measuring consumption in households: Interpretations and strategies," Ecological Economics, Elsevier, vol. 68(1-2), pages 353-361, December.
    16. Bastida, Leire & Cohen, Jed J. & Kollmann, Andrea & Moya, Ana & Reichl, Johannes, 2019. "Exploring the role of ICT on household behavioural energy efficiency to mitigate global warming," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 455-462.
    17. Sütterlin, Bernadette & Brunner, Thomas A. & Siegrist, Michael, 2011. "Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics," Energy Policy, Elsevier, vol. 39(12), pages 8137-8152.
    18. Gustavo Pineiro-Villaverde & María Teresa García-Álvarez, 2020. "Sustainable Consumption and Production: Exploring the Links with Resources Productivity in the EU-28," Sustainability, MDPI, vol. 12(21), pages 1-13, October.
    19. Han, Q. & Nieuwenhijsen, I. & de Vries, B. & Blokhuis, E. & Schaefer, W., 2013. "Intervention strategy to stimulate energy-saving behavior of local residents," Energy Policy, Elsevier, vol. 52(C), pages 706-715.
    20. Jakob, Martin, 2006. "Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector," Energy Policy, Elsevier, vol. 34(2), pages 172-187, January.
    21. Wiser, Ryan H., 2007. "Using contingent valuation to explore willingness to pay for renewable energy: A comparison of collective and voluntary payment vehicles," Ecological Economics, Elsevier, vol. 62(3-4), pages 419-432, May.
    22. 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.
    23. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    24. Diamantopoulos, Adamantios & Schlegelmilch, Bodo B. & Sinkovics, Rudolf R. & Bohlen, Greg M., 2003. "Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation," Journal of Business Research, Elsevier, vol. 56(6), pages 465-480, June.
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    1. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "How to Encourage Energy Savings Behaviours? The Most Effective Incentives from the Perspective of European Consumers," Energies, MDPI, vol. 14(23), pages 1-25, November.
    2. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Are You a Typical Energy Consumer? Socioeconomic Characteristics of Behavioural Segmentation Representatives of 8 European Countries," Energies, MDPI, vol. 14(19), pages 1-28, September.

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