[
Alcantara V., Duro J.A., 2004. Inequality of energy intensities across OECD countries: a note. Energy Policy, 32, 1257–60
]Search in Google Scholar
[
Anex, R. P., 2002. Restructuring and privatizing electricity industries in the commonwealth of independent states. Energy Policy, 30(5), 397–408
]Search in Google Scholar
[
Azam, M., Khan, A. Q., Zaman, K., Ahmad, M., 2015. Factors determining energy consumption: Evidence from Indonesia, Malaysia and Thailand. Renewable and Sustainable Energy Reviews, 42, 1123-1131.
]Search in Google Scholar
[
Balashova S., Ratner S., Gomonov K., Berezin A., 2020. Modeling Consumer and Industry Reaction to Renewable Support Schemes: Empirical Evidence from the USA and Applications for Russia. International Journal of Energy Economics and Policy, 10(3), 158-167
]Search in Google Scholar
[
Bianco, V., Proskuryakova, L., Starodubtseva, A., 2021. Energy inequality in the Eurasian Economic Union. Renewable and Sustainable Energy Reviews, 146, 111155.
]Search in Google Scholar
[
Bildirici, M. E., Kayıkçı, F., 2012. Economic growth and electricity consumption in former Soviet Republics. Energy Economics, 34(3), 747–753.
]Search in Google Scholar
[
Brown, A., Hampton, H., Foley, A., Del Rio, D. F., Lowans, C., Caulfield, B., 2023. Understanding domestic consumer attitude and behaviour towards energy: A study on the Island of Ireland. Energy Policy, 181, 113693.
]Search in Google Scholar
[
Burns, S. L., Krott, M., Sayadyan, H., Giessen, L., 2017. The World Bank Improving Environmental and Natural Resource Policies: Power, Deregulation, and Privatization in (Post-Soviet) Armenia. World Development, 92, 215–224.
]Search in Google Scholar
[
Chen, X., Gou, Z., 2022. Bridging the knowledge gap between energy-saving intentions and behaviours of young people in residential buildings. Journal of Building Engineering, 57, 104932.
]Search in Google Scholar
[
Chien, F., 2022. The mediating role of energy efficiency on the relationship between sharing economy benefits and sustainable development goals (Case of China). Journal of Innovation & Knowledge, 7(4), 100270.
]Search in Google Scholar
[
Ding, Q., Cai, W., Wang, C., Sanwal, M., 2017. The relationships between household consumption activities and energy consumption in china—An input-output analysis from the lifestyle perspective. Applied Energy, 207, 520-532.
]Search in Google Scholar
[
Dong X.Y., Hao Y., 2018. Would income inequality affect electricity consumption? Evidence from China. Energy, 142:215–27
]Search in Google Scholar
[
Farrukh, M., Ansari, N., Raza, A., Wu, Y., Wang, H., 2022. Fostering employee's pro-environmental behavior through green transformational leadership, green human resource management and environmental knowledge. Technological Forecasting and Social Change, 179, 121643.
]Search in Google Scholar
[
Fuerst, F., Singh, R., 2018. How present bias forestalls energy efficiency upgrades: a study of household appliance purchases in India. Journal of Clean Production, 186, 558–569.
]Search in Google Scholar
[
Fuhrmann-Riebel H., D’Exelle B., Verschoor A., 2021. The role of preferences for pro-environmental behaviour among urban middle class households in Peru. Ecological Economics, 180, 106850
]Search in Google Scholar
[
Gevorkyan, A. V., 2015. The legends of the Caucasus: Economic transformation of Armenia and Georgia. International Business Review, 24(6), 1009–1024
]Search in Google Scholar
[
Gomonov, K., Ratner, S., Lazanyuk, I., Revinova, S., 2021. Clustering of EU Countries by the Level of Circular Economy: An Object-Oriented Approach. Sustainability, 13(13), 7158.
]Search in Google Scholar
[
Halkos G. E., Tzeremes N. G., 2014. The effect of electricity consumption from renewable sources on countries׳ economic growth levels: evidence from advanced, emerging and developing economies. Renewable and Sustainable Reviews, 39:166–73
]Search in Google Scholar
[
Hariadi, T. K., Prahara, P. J., Lesmana, S. B., Saidi, R., 2016. Energy efficiency and policy analysis for household in DI Yogyakarta (Yogyakarta Special Region) Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 6(3), 329-333.
]Search in Google Scholar
[
Hartono, D., Hastuti, S. H., Balya, A. A., Pramono, W., 2020. Modern energy consumption in Indonesia: Assessment for accessibility and affordability. Energy for Sustainable Development, 57, 57-68.
]Search in Google Scholar
[
Harun, S. A., Fauzi, M. A., Sulaiman, N. S., 2022. Examining consumer's purchasing behavior of energy-efficient appliance through the lenses of theory of planned behavior and environmental factors. Management of Environmental Quality: An International Journal, 33(5), 1207-1225.
]Search in Google Scholar
[
Heckathorn, D., 1997. Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44, 174–199.
]Search in Google Scholar
[
Hollander, M., Wolfe, D. A., Chicken, E., 2013. Nonparametric statistical methods. John Wiley & Sons.
]Search in Google Scholar
[
Hong, J., She, Y., Wang, S., Dora, M., 2019. Impact of psychological factors on energy-saving behavior: Moderating role of government subsidy policy. Journal of Cleaner Production, 232, 154-162.
]Search in Google Scholar
[
Hu, S., Yan, D., Guo, S., Cui, Y., Dong, B., 2017. A survey on energy consumption and energy usage behavior of households and residential building in urban China. Energy and Buildings, 148, 366-378.
]Search in Google Scholar
[
IEA (2021a), Net Zero by 2050, IEA, Paris https://www.iea.org/reports/net-zero-by-2050
]Search in Google Scholar
[
IEA (2021b), Key World Energy Statistics 2021, IEA, Paris https://www.iea.org/reports/key-world-energy-statistics-2021
]Search in Google Scholar
[
Klimenko, V.V., Ratner, S.V., Tereshin, A.G., 2021. Constraints imposed by key-material resources on renewable energy development. Renewable and Sustainable Energy Reviews, 144, 111011
]Search in Google Scholar
[
Kvam, P., Vidakovic, B., Kim, S. J., 2022. Nonparametric statistics with applications to science and engineering with R (Vol. 1). John Wiley & Sons.
]Search in Google Scholar
[
Lange, F., Dewitte, S., 2019. Measuring proenvironmental behavior: Review and recommendations. Journal of Environmental Psychology, 63, 92-100.
]Search in Google Scholar
[
Latif, B., Gunarathne, N., Gaskin, J., San Ong, T., Ali, M., 2022. Environmental corporate social responsibility and pro-environmental behavior: The effect of green shared vision and personal ties. Resources, Conservation and Recycling, 186, 106572.
]Search in Google Scholar
[
Lazanyuk I., Ratner S., Revinova S., Gomonov K., Modi S., 2023. Diffusion of Renewable Microgeneration on the Side of End-User: Multiple Case Study. Energies, 16(6), 2857.
]Search in Google Scholar
[
Lee, H., Kurisu, K., Hanaki, K., 2013. Influential factors on proenvironmental behaviors-a case study in Tokyo and Seoul. Low Carbon Economy, 4(4), 104-116.
]Search in Google Scholar
[
Lei, M., Cai, W., Liu, W., Wang, C., 2022. The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China. Energy, 253, 124079.
]Search in Google Scholar
[
Li, Y. B., Wang, T. Y., Lin, R. X., Yu, S. N., Liu, X., Wang, Q. C., Xu, Q., 2022. Behaviour-driven energy-saving in hotels: The roles of extraversion and past behaviours on guests’ energy-conservation intention. Buildings, 12(7), 941
]Search in Google Scholar
[
Long, R., Wang, J., Chen, H., Li, Q., Wu, M., Tan-Soo, J. S., 2023. Applying multilevel structural equation modeling to energy-saving behavior: The interaction of individual-and city-level factors. Energy Policy, 174, 113423.
]Search in Google Scholar
[
Meyer, A., 2015. Does education increase pro-environmental behavior? Evidence from Europe. Ecological Economics, 116, 108-121
]Search in Google Scholar
[
Nash, N., Whitmarsh, L., Capstick, S., Hargreaves, T., Poortinga, W., Thomas, G., Sautkina, E., Xenias, D., 2017. Climate-relevant behavioral spillover and the potential contribution of social practice theory. WIREs Climate Change, 8(6), 481.
]Search in Google Scholar
[
Newell, R.G., Siikamki, J., 2015. Individual time preferences and energy efficiency. American Economic Review: Papers & Proceedings 105 (5), 196–200.
]Search in Google Scholar
[
Phuphisith, S., Kurisu, K., Hanaki, K., 2020. A comparison of the practices and influential factors of pro-environmental behaviors in three Asian megacities: Bangkok, Tokyo, and Seoul. Journal of Cleaner Production, 253, 119882
]Search in Google Scholar
[
Revinova, S., Lazanyuk, I., Ratner, S., Gomonov, K., 2023. Forecasting Development of Green Hydrogen Production Technologies Using Component-Based Learning Curves. Energies, 16(11), 4338
]Search in Google Scholar
[
Revinova, S., Ratner, S., Lazanyuk, I., Gomonov, K., 2020. Sharing Economy in Russia: Current Status, Barriers, Prospects and Role of Universities. Sustainability, 12, 4855.
]Search in Google Scholar
[
Ratner S., Chepurko Y., Drobyshevskaya L., Petrovskaya A., 2018. Management of Energy Enterprises: Energy-efficiency Approach in Solar Collectors Industry: The Case of Russia. International Journal of Energy Economic and Policy, 8(4), 237-243
]Search in Google Scholar
[
Ratner, S., Zaretskaya, M., 2018. Forecasting the Ecology Effects of Electric Cars Deployment in Krasnodar Region (Russia): Learning Curves Approach. Journal of Environmental Management and Tourism, 1(25): 82-94.
]Search in Google Scholar
[
Ratner, S., Lazanyuk, I., Revinova, S., Gomonov, K., 2021. Barriers of Consumer Behavior for the Development of the Circular Economy: Empirical Evidence from Russia. Applied Sciences, 11, 46.
]Search in Google Scholar
[
Ratner, S.V., Nizhegorodtsev, R.M., 2018. Analysis of the World Experience of Smart Grid Deployment: Economic Effectiveness Issues. Thermal Engineering, 65(6), 387–399
]Search in Google Scholar
[
Ratner, S.V., Ratner, P.D., 2017. Developing a Strategy of Environmental Management for Electric Generating Companies Using DEA-Methodology. Advances in Systems Science and Applications, 17 (4), 78-92.
]Search in Google Scholar
[
Ravindra, K., Kaur-Sidhu, M., Mor, S., John, S., 2019. Trend in household energy consumption pattern in India: A case study on the influence of socio-cultural factors for the choice of clean fuel use. Journal of Cleaner Production, 213, 1024-1034.
]Search in Google Scholar
[
Ru, X., Qin, H., Wang, S., 2019. Young people’s behaviour intentions towards reducing PM2. 5 in China: Extending the theory of planned behaviour. Resources, Conservation and Recycling, 141, 99-108.
]Search in Google Scholar
[
Salnikova A., 2023. Policy Framework Analysis in the Field of Energy Saving and Relevant Energy Saving Practices in Uzbekistan. International Journal of Energy Economics and Policy, 13(3), 122-128.
]Search in Google Scholar
[
Thapar, S., 2020. Energy consumption behavior: A data-based analysis of urban Indian households. Energy Policy, 143, 111571.
]Search in Google Scholar
[
Tian, H., Liu, X., 2022. Pro-environmental behavior research: Theoretical progress and future directions. International Journal of Environmental Research and Public Health, 19(11), 6721.
]Search in Google Scholar
[
van den Broek, K. L., Walker, I., 2019. Exploring the perceptions of drivers of energy behaviour. Energy Policy, 129, 1297-1305.
]Search in Google Scholar
[
Wang, L., Wei, F., Zhang, X. A., 2022. Why does energy-saving behavior rise and fall? A study on consumer face consciousness in the Chinese context. In Business and the Ethical Implications of Technology (pp. 193-207). Cham: Springer Nature Switzerland
]Search in Google Scholar
[
Wu, X., Geng, Z., Zhao, Q, 2017. Non-parametric statistics. Handbook of Medical Statistics, 145.
]Search in Google Scholar
[
Yin, R., 2018. Case Study Research and Applications: Design and Methods; Sage Publications: Thousand Oaks, CA, USA.
]Search in Google Scholar
[
Zhunussova, G., Ratner, S., Zhunussova, Gu., Nurmukhanova G., Shaihutdinova, A., 2020. Renewable Energy in Kazakhstan: Challenges and Prospects. International Energy Journal, 20(3), 311-324.
]Search in Google Scholar