IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p707-d1028203.html
   My bibliography  Save this article

Pro-Ecological Energy Attitudes towards Renewable Energy Investments before the Pandemic and European Energy Crisis: A Segmentation-Based Approach

Author

Listed:
  • Alicja Małgorzata Graczyk

    (Department of Macroeconomics, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

  • Marta Kusterka-Jefmańska

    (Department of Quality and Environmental Management, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

  • Bartłomiej Jefmański

    (Department of Econometrics and Computer Science, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

  • Andrzej Graczyk

    (Department of Ecological Economics, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland)

Abstract

The household as the primary decision-making unit is founded on classical and neoclassical economics. However, household behaviour changes have been noticeable in the last decade, moving towards more green and sustainable patterns, which have been pronounced in EU countries striving for a more significant share of renewable energy sources (RES) in energy consumption. These behaviours can be attributed to sustainable economics and are an essential part of energy transformation, as they are focused on pro-ecological attitudes, considering both financial activities and those related to caring for the environment and future generations. This article aims to segment energy consumers and to determine what attitudes prevailed in the selected segments and to what extent consumers were pro-ecologically oriented when making decisions regarding RES management before the pandemic and the energy crisis outbreak in Europe. We propose a three-segment model for archetyping household energy consumers in Poland by considering the following groups of factors: environmental and energy goods protection (F1), the mirror effect (F2), and energy and devices profitability (F3). The segments are distinguished based on factor analysis and the fuzzy c -means method. The number of segments is determined based on the cluster validity measure. The presented results prove that the F1 factor plays the leading role in each segment. The percentage of positive responses for each segment, including a migrating group of households, oscillates over 80%. It gives strong hope for retaining sustainable attitudes regardless of the pandemic and energy crisis that occurred in 2022 in the EU.

Suggested Citation

  • Alicja Małgorzata Graczyk & Marta Kusterka-Jefmańska & Bartłomiej Jefmański & Andrzej Graczyk, 2023. "Pro-Ecological Energy Attitudes towards Renewable Energy Investments before the Pandemic and European Energy Crisis: A Segmentation-Based Approach," Energies, MDPI, vol. 16(2), pages 1-29, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:707-:d:1028203
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/707/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/2/707/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Lei & Wu, Yang, 2012. "Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province," Energy Policy, Elsevier, vol. 51(C), pages 514-523.
    2. Chengzhou Li & Ningling Wang & Hongyuan Zhang & Qingxin Liu & Youguo Chai & Xiaohu Shen & Zhiping Yang & Yongping Yang, 2019. "Environmental Impact Evaluation of Distributed Renewable Energy System Based on Life Cycle Assessment and Fuzzy Rough Sets," Energies, MDPI, vol. 12(21), pages 1-17, November.
    3. Sundt, Swantje & Rehdanz, Katrin, 2015. "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, vol. 51(C), pages 1-8.
    4. Alicja Małgorzata Graczyk, 2021. "Households Behaviour towards Sustainable Energy Management in Poland—The Homo Energeticus Concept as a New Behaviour Pattern in Sustainable Economics," Energies, MDPI, vol. 14(11), pages 1-30, May.
    5. 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.
    6. Gianluca Grilli, 2017. "Renewable energy and willingness to pay: Evidences from a meta-analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 253-271.
    7. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    8. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    9. 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.
    10. F.X. Sligo & Anna M. Jameson, 2000. "The knowledge—behavior gap in use of health information," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(9), pages 858-869.
    11. George Loewenstein, 2000. "Emotions in Economic Theory and Economic Behavior," American Economic Review, American Economic Association, vol. 90(2), pages 426-432, May.
    12. H. Leibenstein, 1950. "Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 64(2), pages 183-207.
    13. Chaikumbung, Mayula, 2021. "Institutions and consumer preferences for renewable energy: A meta-regression analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    14. 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.
    15. 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.
    16. Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 93-109.
    17. Inwon Kang & Ilhwan Ma, 2020. "A Study on Bandwagon Consumption Behavior Based on Fear of Missing Out and Product Characteristics," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    18. Barjak, F. & Lindeque, J. & Koch, J. & Soland, M., 2022. "Segmenting household electricity customers with quantitative and qualitative approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marcin Łuszczyk & Krzysztof Malik & Barbara Siuta-Tokarska & Agnieszka Thier, 2023. "Direction of Changes in the Settlements for Prosumers of Photovoltaic Micro-Installations: The Example of Poland as the Economy in Transition in the European Union," Energies, MDPI, vol. 16(7), pages 1-16, April.
    2. Łukasz Jarosław Kozar & Adam Sulich, 2023. "Energy Sector’s Green Transformation towards Sustainable Development: A Review and Future Directions," Sustainability, MDPI, vol. 15(15), pages 1-18, July.

    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. 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.
    2. 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.
    3. Ndebele, Tom, 2020. "Assessing the potential for consumer-driven renewable energy development in deregulated electricity markets dominated by renewables," Energy Policy, Elsevier, vol. 136(C).
    4. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    5. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Willingness to pay for regional electricity generation – A question of green values and regional product beliefs?," Energy Economics, Elsevier, vol. 110(C).
    6. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    7. Balezentis, Tomas & Streimikiene, Dalia & Mikalauskas, Ignas & Shen, Zhiyang, 2021. "Towards carbon free economy and electricity: The puzzle of energy costs, sustainability and security based on willingness to pay," Energy, Elsevier, vol. 214(C).
    8. Anna Kowalska-Pyzalska, 2019. "Do Consumers Want to Pay for Green Electricity? A Case Study from Poland," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    9. Hackbarth, André, 2018. "Attitudes, preferences, and intentions of German households concerning participation in peer-to-peer electricity trading," Reutlingen Working Papers on Marketing & Management 2019-2, Reutlingen University, ESB Business School.
    10. Anna Kowalska-Pyzalska, 2018. "An Empirical Analysis of Green Electricity Adoption Among Residential Consumers in Poland," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    11. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    12. Chaikumbung, Mayula, 2021. "Institutions and consumer preferences for renewable energy: A meta-regression analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    13. Anna Kowalska-Pyzalska, 2018. "An empirical analysis of green energy adoption among residential consumers in Poland," HSC Research Reports HSC/18/01, Hugo Steinhaus Center, Wroclaw University of Technology.
    14. Yu, Ying & Yamaguchi, Kensuke & Thuy, Truong Dang & Kittner, Noah, 2022. "Will the public in emerging economies support renewable energy? Evidence from Ho Chi Minh City, Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    15. van Rooij, Maarten C.J. & Kool, Clemens J.M. & Prast, Henriette M., 2007. "Risk-return preferences in the pension domain: Are people able to choose?," Journal of Public Economics, Elsevier, vol. 91(3-4), pages 701-722, April.
    16. Yang, Yingkui & Solgaard, Hans Stubbe & Haider, Wolfgang, 2016. "Wind, hydro or mixed renewable energy source: Preference for electricity products when the share of renewable energy increases," Energy Policy, Elsevier, vol. 97(C), pages 521-531.
    17. Zarghamee, Homa S. & Messer, Kent D. & Fooks, Jacob R. & Schulze, William D. & Wu, Shang & Yan, Jubo, 2017. "Nudging charitable giving: Three field experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 66(C), pages 137-149.
    18. van Rooij, Maarten C.J. & Kool, Clemens J.M. & Prast, Henriette M., 2007. "Risk-return preferences in the pension domain: Are people able to choose?," Journal of Public Economics, Elsevier, vol. 91(3-4), pages 701-722, April.
    19. Barjak, F. & Lindeque, J. & Koch, J. & Soland, M., 2022. "Segmenting household electricity customers with quantitative and qualitative approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    20. Geoff Tomaino & Jasper Teow & Ziv Carmon & Leonard Lee & Moshe Ben-Akiva & Charlene Chen & Wai Yan Leong & Shanjun Li & Nan Yang & Jinhua Zhao, 2020. "Mobility as a service (MaaS): the importance of transportation psychology," Marketing Letters, Springer, vol. 31(4), pages 419-428, December.

    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:gam:jeners:v:16:y:2023:i:2:p:707-:d:1028203. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.