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Examining young people’s awareness of electricity consumption during the energy crisis from the perspective of economics students in Hungary



Objective: The objective of our article is to analyse students’ knowledge, awareness, feelings and attitudes to the energy crisis, in particular, the rising price of electricity in Hungary to test whether students are aware of their electricity consumption and influenced by the opinion of their close relatives. We also examined how consumption awareness is influenced by the variables of the number of tenants and the person who pays the electricity bill.

Research Design & Methods: In the research, self-administered questionnaires as qualitative research tools tested the previous assumptions. In total, 272 responses from students of economics at a Hungarian university were analysed by using an ANOVA test. The structural equation modelling (SEM) method for modelling latent variables was used for analysis, including the variance-based method (PLS over-analysis).

Findings: Our study showed that the number of occupants does not affect consumption patterns as most changes in savings are explained by either awareness or by a clear understanding of consumption patterns, and only 10.2% by the war and its consequences.

Implications & Recommendations: Savings on energy and awareness are interdependent. It was also pointed out that there are a lot of factors as a source of information such as (social) media in addition to family, friends, and acquaintances, who do not take the lead in terms of credibility.

Contribution & Value Added: Previous research analysed many context- and area-specific determinants of responsible consumption. Our article explores consumption awareness and analyses savings to obtain information about the feelings and attitudes, as well as reactions of Hungarian students of economics to the energy crisis.



energy crisis, savings, awareness, consumption, electricity, SEM model

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Author Biography

Tímea Juhász

Associate Professor and Deputy Dean of the Faculty of International Management and Business at the Budapest  Business School

Erika Varga

PhD in management and business administration (2015); habilitation in management and business administration (2021). Associate Professor at the Institute of Rural Development and Sustainable Economy, Hungarian University of Agriculture and Life Sciences (Gödöllő, Hungary). Her research interests include HR, management, leadership issues, competencies and work-life balance.

Arnold Tóth

Associate professor at the Department of Business Economics of Budapest Business School


  1. Advanced Energy Technologies. (2023). Retrieved from on March 17, 2023.
  2. Aguirre-Bielschowsky, I., Lawson, R., Stephenson, J., & Todd, S. (2018). Kids and Kilowatts: Socialisation, energy efficiency, and electricity consumption in New Zealand. Energy Research & Social Science, 44, 178-186, ISSN 2214-6296. Retrieved from on January 20, 2023.
  3. Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., ... & Wattam, S. (2020). Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review. Renewable and Sustainable Energy Reviews, 130, 109899.
  4. Bakó, F., Berkes, J., & Szigeti, C. (2021). Households’ Electricity Consumption in Hungarian Urban Areas. Energies, 14(10), 2899.
  5. Barnes, A. (2020) Can the current EU regulatory framework deliver decarbonisation of gas?. Retrieved from on July 6, 2023.
  6. BGE (2023). Retrieved from on July 6, 2023.
  7. Bjønness, S., Grønnestad, T., Johannessen, J., & Storm, M. (2022). Parents’ perspectives on user participation and shared decision-making in adolescents’ inpatient mental healthcare. Health Expect, 25(3), 994-1003. Epub 07 February, 2022. PMID: 35129846; PMCID: PMC9122388.
  8. Blasch, J., Boogen, N., Filippini, M., & Kumar, N. (2017). Explaining electricity demand and the role of energy and investment literacy on end-use efficiency of Swiss households. Energy Economics, 68, 89-102.
  9. Bojnec, Š. (2023). Electricity Markets, Electricity Prices and Green Energy Transition. Energies, 16(2), 873.
  10. Calanter, P., & Zisu, D. (2022). EU Policies to Combat the Energy Crisis. Global Economic Observer, “Nicolae Titulescu” University of Bucharest, Faculty of Economic Sciences; Institute for World Economy of the Romanian Academy, 10(1), 26-33.
  11. EurActiv (2022). Retrieved from on February 11, 2023.
  12. Eurostat. (2022). HICP – monthly data (annual rate of change). Retrieved from on February 11, 2023.
  13. Eurostat. (2023). Electricity and gas hit record prices in 2022. Retrieved from on July 5, 2023.
  14. Favero, F., & Grossi, L. (2023). Analysis of individual natural gas consumption and price elasticity: Evidence from billing data in Italy. Energy Economics, 118, 106484.
  15. Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. France 24. France’s Public and Private Sectors Race to Adapt as Winter Energy Crisis Looms. Retrieved from on February 11, 2023.
  16. France24. (2022). Retrieved from on February 11, 2023.
  17. Good, N. (2019). Using behavioural economic theory in modelling of demand response. Applied Energy, 239, 107-116.
  18. Győri, Á., Huszár, Á., & Balogh, K. (2021). Differences in the Domestic Energy Consumption in Hungary: Trends between 2006-2017. Energies, 14(20), 6718.
  19. Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equa-tion Modeling (PLS-SEM). Sage. p.384.
  20. Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equa-tion Modeling (PLS-SEM), SAGE Publications, Thousand Oaks, CA, 91320.
  21. Hair, J.F., Ringle, C.M., & Sarstedt, M. (2013). Partial least squares structural equation modelling: rigorous applications, better results and higher acceptance. Long Range Planning, 46(1/2), 1-12.
  22. Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
  23. Islam, M.S., Rayhan, M., & Majumder, T.H. (2022). Behavioral factors underlying energy consumption pat-tern: A cross-sectional study on industrial sector of Bangladesh. Heliyon, 8(11), e11523. PMID: 36439754; PMCID: PMC9691912.
  24. Jayanti, S. (2022). Europe’s Energy Crisis Is Going to Get Worse. The World Will Bear the Cost. Retrieved from 9272/europes-energy-crisis-getting-worse/ on February 11, 2023.
  25. Kazár, K. (2014). A PLS-útelemzés és alkalmazása egy márkaközösség pszichológiai érzetének vizsgálatára. Statisztikai Szemle, 92(1), 33-52.
  26. Khatiwada, D., Vasudevan, R.A., & Santos, B.H. (2022). Decarbonization of natural gas systems in the EU – Costs, barriers, and constraints of hydrogen production with a case study in Portugal. Renewable and Sustainable Energy Reviews, 168, 112775.
  27. Kovalszky, Zs., Morva, A., & Ilyésné Molnár, E. (2022). Az importföldgáz-árakról tényszerűen. Statisztikai Szemle, 100(10), 983-990.
  28. Li, X., Zhang, D., Zhang, T., Ji, Q., & Lucey, B. (2021). Awareness, energy consumption and pro-environmental choices of Chinese households. Journal of Cleaner Production, 279, 123734, ISSN 0959-6526. Retrieved from on March 17, 2023.
  29. Lusinga, S., & de Groot, J. (2019). Energy consumption behaviours of children in low-income communities: A case study of Khayelitsha, South Africa. Energy Research & Social Science, 54, 199-210, ISSN 2214-6296,
  30. Magyar Közlöny. (2022). A Kormány 259/2022. (VII. 21.) Korm. rendelete egyes egyetemes szolgáltatási ár-szabások meghatározásáról. Retrieved from on January 3, 2023.
  31. Moldicz, C. (2022). Hungary social briefing: Energy prices and effects on the Hungarian society. Weekly Brief-ing, 53(3).
  32. Pearce, H., Hudders, L., & Van de Sompel, D. (2020). Young energy savers: Exploring the role of parents, peers, media and schools in saving energy among children in Belgium. Energy Research & Social Science, 63, 101392, ISSN 2214-6296,
  33. Ruhnau, O., Stiewe, C., Muessel, J., & Hirth, L. (2022). Gas Demand in Times of Crisis. The Response of Ger-man Households and Industry to the 2021/22 Energy Crisis. Preprints Econstor. Retrieved from on February, 11, 2023.
  34. Schmidt, L., Horta, A., Correia, A., & Fonseca, S. (2014). Generational Gaps and Paradoxes Regarding Electric-ity Consumption and Saving. Nature and Culture, 9.
  35. Setyowati, D.L., Hardati, P., Astuti, T.M.P., & Amin, M. (2019). Awareness of Electrical Energy as Realization A Conservation In Universitas Negeri Semarang Campus. 2019 IOP Conference Series: Earth and Environ-mental Science, 256 012046.
  36. Sharafedin, B., & Sevgili, C. (2023). Analysis: Forget Showering. It’s Eat or Heat for Shocked Europeans Hit by Energy Crisis. Retrieved from is-2022-08-26/ on February 11, 2023.
  37. Sharifi, R., Fathi, S.H., Anvari-Moghaddam, A., Guerrero, J.M., & Vahidinasab, V. (2018). An economic cus-tomer-oriented demand response model in electricity markets. In 2018 IEEE International Conference on Industrial Technology (ICIT) (pp. 1149-1153). IEEE.
  38. Si, H., Yu, Z., Jiang, Q., Shu, Y., Hua, W., & Lv, X. (2022). Better future with better us: Exploring young peo-ple’s energy-saving behavior based on norm activation theory. Frontiers in Public Health, 20, PMID: 36339174; PMCID: PMC9630910.
  39. Timmons, D., Elahee, K., & Lin, M. (2020). Microeconomics of electrical energy storage in a fully renewable electricity system. Solar Energy, 206, 171-180.
  40. Wallis, H., Nachreiner, M., & Matthies, E. (2016). Adolescents and electricity consumption; Investigating sociodemographic, economic, and behavioural influences on electricity consumption in households. En-ergy Policy, 94. 224-234.
  41. Wang, J., Long, R., Chen, H., & Li, Q. (2022). How do parents and children promote each other? The impact of intergenerational learning on willingness to save energy. Energy Research & Social Science, 87,102465, ISSN 2214-6296.
  42. Wei, P., & Du, J. (2022). Gender differences in reasoning energy-saving behaviours of university students. Energy and Buildings,
  43. Wen, M., Zhang, Y., Xiao, H., & Huang, R. (2022). Energy-saving and influencing factors of household electric-ity consumption in China. E3S Web Conf., 341,
  44. Werts, C.E., Linn, R.L., & Jöreskog, K.G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1), 25-33.
  45. Zanocco, C., Sun, T., & Stelmach, G. et al. (2022). Assessing Californians’ awareness of their daily electricity use patterns. Nature Energy, 7, 1191-1199.
  46. Żywiołek, J., Rosak-Szyrocka, J., Khan, M.A., & Sharif, A. (2022). Trust in Renewable Energy as Part of Energy-Saving Knowledge. Energies, 15, 1566.


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