IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v91y2023icp1-14.html
   My bibliography  Save this article

The role of environmental and financial motivations in the adoption of energy-saving technologies: Evidence from European Union data

Author

Listed:
  • Canepa, Alessandra
  • Chersoni, Giulia
  • Fontana, Magda

Abstract

This paper investigates whether households’ environmental and financial motivations affect their investments in energy-saving technologies. Exploiting a comprehensive dataset covering 30 European countries, we investigate whether financially motivated and environmentally minded households present different adoption paths. The results show that environmental and financial motivations play an essential role in the decision to adopt energy-saving technologies, thus paving the way for policy actions targeted at enhancing consumer awareness. Our analysis also reveals that environmentally and financially motivated households exhibit different socio-economic profiles. We find that environmentally minded, highly educated households living in urban areas with a large family size are more likely to adopt energy-saving technologies than their counterparts with low levels of education living in rural locations. In addition, their financial situation is an important factor in explaining the adoption patterns of financially motivated households. From a methodological point of view, our analysis exploits both parametric and nonparametric methods. We use stochastic dominance analysis to rank the distribution functions of household behaviours and the logit model to investigate the socio-economic profiles of different groups.

Suggested Citation

  • Canepa, Alessandra & Chersoni, Giulia & Fontana, Magda, 2023. "The role of environmental and financial motivations in the adoption of energy-saving technologies: Evidence from European Union data," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 1-14.
  • Handle: RePEc:eee:quaeco:v:91:y:2023:i:c:p:1-14
    DOI: 10.1016/j.qref.2023.07.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976923000753
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.qref.2023.07.001?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Scaillet, Olivier & Topaloglou, Nikolas, 2010. "Testing for Stochastic Dominance Efficiency," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 169-180.
    2. Trotta, Gianluca, 2018. "Factors affecting energy-saving behaviours and energy efficiency investments in British households," Energy Policy, Elsevier, vol. 114(C), pages 529-539.
    3. Sardianou, E. & Genoudi, P., 2013. "Which factors affect the willingness of consumers to adopt renewable energies?," Renewable Energy, Elsevier, vol. 57(C), pages 1-4.
    4. Benno Torgler & María A.García-Valiñas & Alison Macintyre, 2007. "Differences in Preferences Towards the Environment: The Impact of a Gender, Age and Parental Effect," CREMA Working Paper Series 2008-01, Center for Research in Economics, Management and the Arts (CREMA).
    5. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
    6. Alexander Maki & Amanda R. Carrico & Kaitlin T. Raimi & Heather Barnes Truelove & Brandon Araujo & Kam Leung Yeung, 2019. "Meta-analysis of pro-environmental behaviour spillover," Nature Sustainability, Nature, vol. 2(4), pages 307-315, April.
    7. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    8. Mills, Bradford & Schleich, Joachim, 2010. "What's driving energy efficient appliance label awareness and purchase propensity?," Energy Policy, Elsevier, vol. 38(2), pages 814-825, February.
    9. Jacksohn, Anke & Grösche, Peter & Rehdanz, Katrin & Schröder, Carsten, 2019. "Drivers of renewable technology adoption in the household sector," Energy Economics, Elsevier, vol. 81(C), pages 216-226.
    10. Stefan Zundel & Immanuel Stieß, 2011. "Beyond Profitability of Energy-Saving Measures—Attitudes Towards Energy Saving," Journal of Consumer Policy, Springer, vol. 34(1), pages 91-105, March.
    11. Kancs, d'Artis & Wohlgemuth, Norbert, 2008. "Evaluation of renewable energy policies in an integrated economic-energy-environment model," Forest Policy and Economics, Elsevier, vol. 10(3), pages 128-139, January.
    12. Haim Levy, 1992. "Stochastic Dominance and Expected Utility: Survey and Analysis," Management Science, INFORMS, vol. 38(4), pages 555-593, April.
    13. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2016. "Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study," Applied Energy, Elsevier, vol. 184(C), pages 1217-1229.
    14. Wong, Wing-Keung & Phoon, Kok Fai & Lean, Hooi Hooi, 2008. "Stochastic dominance analysis of Asian hedge funds," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 204-223, June.
    15. Martinsson, Johan & Lundqvist, Lennart J. & Sundström, Aksel, 2011. "Energy saving in Swedish households. The (relative) importance of environmental attitudes," Energy Policy, Elsevier, vol. 39(9), pages 5182-5191, September.
    16. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005. "Consistent Testing for Stochastic Dominance under General Sampling Schemes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 735-765.
    17. Gadenne, David & Sharma, Bishnu & Kerr, Don & Smith, Tim, 2011. "The influence of consumers' environmental beliefs and attitudes on energy saving behaviours," Energy Policy, Elsevier, vol. 39(12), pages 7684-7694.
    18. Bashiri, Ali & Alizadeh, Sasan H., 2018. "The analysis of demographics, environmental and knowledge factors affecting prospective residential PV system adoption: A study in Tehran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3131-3139.
    19. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
    20. Kjell Arne Brekke & Olof Johansson-Stenman, 2008. "The behavioural economics of climate change," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(2), pages 280-297, Summer.
    21. Chersoni, Giulia & DellaValle, Nives & Fontana, Magda, 2022. "Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model," Energy Policy, Elsevier, vol. 163(C).
    22. Benno Torgler & María A.García-Valiñas & Alison Macintyre, 2007. "Differences in Preferences Towards the Environment: The Impact of a Gender, Age and Parental Effect," CREMA Working Paper Series 2008-01, Center for Research in Economics, Management and the Arts (CREMA).
    23. Achtnicht, Martin, 2011. "Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany," Ecological Economics, Elsevier, vol. 70(11), pages 2191-2200, September.
    24. Mills, Bradford & Schleich, Joachim, 2012. "Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries," Energy Policy, Elsevier, vol. 49(C), pages 616-628.
    25. 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.
    26. Aguilar, Francisco X. & Vlosky, Richard P., 2007. "Consumer willingness to pay price premiums for environmentally certified wood products in the U.S," Forest Policy and Economics, Elsevier, vol. 9(8), pages 1100-1112, May.
    27. Urban, Jan & Ščasný, Milan, 2012. "Exploring domestic energy-saving: The role of environmental concern and background variables," Energy Policy, Elsevier, vol. 47(C), pages 69-80.
    28. Bergek, Anna & Mignon, Ingrid, 2017. "Motives to adopt renewable electricity technologies: Evidence from Sweden," Energy Policy, Elsevier, vol. 106(C), pages 547-559.
    29. Melvin, Jesse, 2018. "The split incentives energy efficiency problem: Evidence of underinvestment by landlords," Energy Policy, Elsevier, vol. 115(C), pages 342-352.
    30. Qiu, Xin & Jin, Jianjun & He, Rui & Mao, Jiansu, 2022. "The deviation between the willingness and behavior of farmers to adopt electricity-saving tricycles and its influencing factors in Dazu District of China," Energy Policy, Elsevier, vol. 167(C).
    31. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
    32. Ku, Se-Ju & Yoo, Seung-Hoon, 2010. "Willingness to pay for renewable energy investment in Korea: A choice experiment study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2196-2201, October.
    33. Claudia Aravena & Andrés Riquelme & Eleanor Denny, 2016. "Money, Comfort or Environment? Priorities and Determinants of Energy Efficiency Investments in Irish Households," Journal of Consumer Policy, Springer, vol. 39(2), pages 159-186, June.
    34. Adam Jaffe & Richard Newell & Robert Stavins, 2002. "Environmental Policy and Technological Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 41-70, June.
    35. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    36. Paul C. Stern, 2020. "A reexamination on how behavioral interventions can promote household action to limit climate change," Nature Communications, Nature, vol. 11(1), pages 1-3, December.
    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. Canepa, Alessandra & Fontana, Magda & Chersoni, Giulia, 2021. "The Role of Environmental and Financial Concerns on Energy-Saving Investments: A Stochastic Dominance Analysis," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202109, University of Turin.
    2. Chersoni, Giulia & DellaValle, Nives & Fontana, Magda, 2022. "Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model," Energy Policy, Elsevier, vol. 163(C).
    3. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," CIRJE F-Series CIRJE-F-705, CIRJE, Faculty of Economics, University of Tokyo.
    4. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2010. "Market efficiency of oil spot and futures: A mean-variance and stochastic dominance approach," Energy Economics, Elsevier, vol. 32(5), pages 979-986, September.
    5. Trotta, Gianluca, 2018. "Factors affecting energy-saving behaviours and energy efficiency investments in British households," Energy Policy, Elsevier, vol. 114(C), pages 529-539.
    6. Hooi Lean & Kok Phoon & Wing-Keung Wong, 2013. "Stochastic dominance analysis of CTA funds," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 155-170, January.
    7. Zhuo Qiao & Wing-Keung Wong, 2015. "Which is a better investment choice in the Hong Kong residential property market: a big or small property?," Applied Economics, Taylor & Francis Journals, vol. 47(16), pages 1670-1685, April.
    8. Henningsen, Geraldine & Wiese, Catharina, 2019. "Do Household Characteristics Really Matter? A Meta-Analysis on the Determinants of Households’ Energy-Efficiency Investments," MPRA Paper 101701, University Library of Munich, Germany.
    9. Tsang, Chun-Kei & Wong, Wing-Keung & Horowitz, Ira, 2016. "A stochastic-dominance approach to determining the optimal home-size purchase: The case of Hong Kong," MPRA Paper 69175, University Library of Munich, Germany.
    10. Wang, Ming-Hui & Ke, Mei-Chu & Liang Liao, Tung & Chiang, Yi-Chein & Hsu, Chuan-Hao, 2020. "Alternative estimation method of earnings growth rate for PEGR strategy," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    11. Chun-Kei Tsang & Wing-Keung Wong & Ira Horowitz, 2016. "Arbitrage opportunities, efficiency, and the role of risk preferences in the Hong Kong property market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(4), pages 735-754, October.
    12. Al-Khazali, Osamah & Lean, Hooi Hooi & Samet, Anis, 2014. "Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 29-46.
    13. Christodoulakis, George & Mohamed, Abdulkadir & Topaloglou, Nikolas, 2018. "Optimal privatization portfolios in the presence of arbitrary risk aversion," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1172-1191.
    14. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Documentos de Trabajo del ICAE 2013-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Aug 2013.
    15. Hoang, Thi-Hong-Van & Lean, Hooi Hooi & Wong, Wing-Keung, 2015. "Is gold good for portfolio diversification? A stochastic dominance analysis of the Paris stock exchange," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 98-108.
    16. Grönqvist, Charlotta, 2009. "Empirical studies on the private value of Finnish patents," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2009_041.
    17. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2012. "Is there an Optimal Forecast Combination? A Stochastic Dominance Approach to Forecast Combination Puzzle," Working Paper series 17_12, Rimini Centre for Economic Analysis.
    18. Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2020. "On the construction of a feasible range of multidimensional poverty under benchmark weight uncertainty," European Journal of Operational Research, Elsevier, vol. 281(2), pages 415-427.
    19. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2013. "Make Almost Stochastic Dominance really Almost," MPRA Paper 49745, University Library of Munich, Germany.
    20. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2010. "Investor preferences for oil spot and futures based on mean-variance and stochastic dominance," Econometric Institute Research Papers EI 2010-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    More about this item

    Keywords

    Energy efficient technologies; Adoption; Environmental and financial motivation; Stochastic dominance;
    All these keywords.

    JEL classification:

    • 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
    • D1 - Microeconomics - - Household Behavior

    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:quaeco:v:91:y:2023:i:c:p:1-14. 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/inca/620167 .

    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.