Abstract
The countries must take steps to modernize the energy economy. This is important for countries whose primary energy source structure is based on coal consumption. Energy is a key factor in meeting human needs, including economic activity. The aim of the study is to present and assess the spatial differentiation of energy policies under circular economy conditions at the level of EU countries (including former Eastern Bloc countries). To achieve the objective, a literature analysis, synthetic measures, and statistical analysis were used. Empirical data was collected in spatial terms for EU countries in 2013 and 2020. Research confirms that there is a positive change in the energy policy aspect in EU countries in 2020 compared to 2013. The group with the highest measure of synthetic energy policy included Finland, Sweden, and Austria, while the weakest were Luxembourg and the Eastern Bloc countries of Bulgaria and Poland. The former EU countries are mostly in a better position in terms of energy policy than the Eastern Bloc countries.
References
Amendola, M., Lamperti, F., Roventini, A., & Sapio, A. (2024). Energy efficiency policies in an agent-based macroeconomic model. Structural Change and Economic Dynamics, 68, 116-132. https://doi.org/10.1016/j.strueco.2023.10.003
Ban, A. J., Ban, O. J., Bogdan, V., Sabau Popa, D. C., & Tuse, D. (2020). Performance evaluation model of Romanian manufacturing listed companies by fuzzy AHP and TOPSIS. Technological and Economic Development of Economy, 26(4), 808-836. https://doi.org/10.3846/tede.2020.12367
Eurostat. (n.d.). Database. https://ec.europa.eu/eurostat/data/database
Głowicka-Wołoszyn, R., & Wysocki, F. (2018). Problem identyfikacji poziomów rozwoju w konstruowaniu cech syntetycznych. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics, 508, 56-65. https://doi.org/10.15611/pn.2018.508.06 (in Polish).
Grabiński, T., Wydymus, S., & Zeliaś, A. (1989). Metody taksonomii numerycznej w modelowaniu zjawisk społeczno-gospodarczych. Warszawa: Wydawnictwo PWN. (in Polish).
Graczyk, A. (2015). Analiza i ocena zgodności instrumentów polityki ekologicznej dotyczących odnawialnych źródeł energii z zasadami zrównoważonego rozwoju. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics, 409, 207-217. https://doi.org/10.15611/pn.2015.409.15 (in Polish).
Grzebyk, M., & Stec, M. (2023). The level of renewable energy used in EU member states - A multidimensional comparative analysis. Economics and Environment, 86(3), 244-264. https://doi.org/10.34659/eis.2023.86.3.558
Husaini, D. H., Abu Mansor, S., & Lean, H. H. (2024). Income inequality, natural resources dependence and renewable energy. Resources Policy, 89, 104480. https://doi.org/10.1016/j.resourpol.2023.104480
Ioannidis, F., Kosmidou, K., & Papanastasiou, D. (2023). Public awareness of renewable energy sources and Circular Economy in Greece. Renewable Energy, 206, 1086-1096. https://doi.org/10.1016/j.renene.2023.02.084
Kozera, A., Dworakowska-Raj, M., & Standar, A. (2021). Role of Local Investments in Creating Rural Development in Poland. Energies, 14(6), 1748. https://doi.org/10.3390/en14061748
Kryk, B. (2012). Kontrowersje polskiej polityki energetycznej w kontekście realizacji wymogów unijnych. Ekonomia i Prawo, 11(4), 151-166. http://bazekon.icm.edu.pl/bazekon/element/bwmeta1.element.ekon-element-000171252027 (in Polish).
Kryk, B. (2019). Ensuring sustainable energy as a sign of environmental responsibility and social justice in European Union members. Economics and Environment, 71(4), 25. https://www.ekonomiaisrodowisko.pl/journal/article/view/63
Kukuła, K., & Bogocz, D. (2014). Zero Unitarization Method and Its Application in Ranking Research in Agriculture. Economic and Regional Studies, 7(3), 5-13. https://doi.org/10.22004/ag.econ.265035
Lee, C. C., Zhang, J., & Hou, S. (2023). The impact of regional renewable energy development on environmental sustainability in China. Resources Policy, 80, 103245. https://doi.org/10.1016/j.resourpol.2022.103245
Li, F., Zhang, J., & Li, X. (2023). Energy security dilemma and energy transition policy in the context of climate change: A perspective from China. Energy Policy, 181, 113624. https://doi.org/10.1016/j.enpol.2023.113624
Ligus, M. (2017). Evaluation of Economic, Social and Environmental Effects of Low-Emission Energy Technologies Development in Poland: A Multi-Criteria Analysis with Application of a Fuzzy Analytic Hierarchy Process (FAHP). Energies, 10(10), 1550. https://doi.org/10.3390/en10101550
Lin, Y., Mahmood, M. A., Meng, W., & Ali, Q. (2024). Green economy transition in Asia Pacific: A holistic assessment of renewable energy production. Journal of Cleaner Production, 437, 140648. https://doi.org/10.1016/j.jclepro.2024.140648
Loewen, B. (2022). Coal, green growth and crises: Exploring three European Union policy responses to regional energy transitions. Energy Research & Social Science, 93, 102849. https://doi.org/10.1016/j.erss.2022.102849
Lu, L., Liu, P., Yu, J., & Shi, X. (2023a). Digital inclusive finance and energy transition towards carbon neutrality: Evidence from Chinese firms. Energy Economics, 127, 107059. https://doi.org/10.1016/j.eneco.2023.107059
Lu, Y., Tian, T., & Ge, C. (2023b). Asymmetric effects of renewable energy, fintech development, natural resources, and environmental regulations on the climate change in the post-covid era. Resources Policy, 85, 103902. https://doi.org/10.1016/j.resourpol.2023.103902
Łuczak, A., & Kalinowski, S. (2020). Assessing the level of the material deprivation of European Union countries. PLoS ONE, 15, e0238376. https://doi.org/10.1371/journal.pone.0238376
Ma, R., qin Xie, X., Liu, B., Zhou, F., & Shaharudin bin Samsurijan, M. (2023). Transmission to green economic development and the dependence on natural resources in China. Resources Policy, 86, 104211. https://doi.org/10.1016/j.resourpol.2023.104211
Makarewicz-Marcinkiewicz, A. (2015). Nierówności społeczne na drodze do zrównoważonego rozwoju. Problem polityki społecznej i gospodarczej. Toruń: Wydawnictwo Adam Marszałek. (in Polish).
Malina, A. (2004). Wielowymiarowa analiza przestrzennego zróżnicowania struktury gospodarki Polski według województw. Kraków: Wydawnictwo Akademii Ekonomicznej w Krakowie. (in Polish).
Nguyen, T. T., Ngoc Nguyen, D., & Lan Pham, H. T. (2023). Survey data on energy-saving policies, energy price, crisis and household energy-saving behaviour. Data in Brief, 51, 109646. https://doi.org/10.1016/j.dib.2023.109646
Özkan, B., Özceylan, E., Kabak, M., & Dikmen, A. U. (2021). Evaluation of criteria and COVID-19 patients for intensive care unit admission in the era of pandemic: A multi-criteria decision making approach. Computer Methods and Programs in Biomedicine, 209, 106348. https://doi.org/10.1016/j.cmpb.2021.106348
Pahle, M., Pachauri, S., & Steinbacher, K. (2016). Can the Green Economy deliver it all? Experiences of renewable energy policies with socio-economic objectives. Applied Energy, 179, 1331-1341. https://doi.org/10.1016/j.apenergy.2016.06.073
Paraschiv, S. (2023). Analysis of the variability of low-carbon energy sources, nuclear technology and renewable energy sources, in meeting electricity demand. Energy Reports, 9(11), 276-283. https://doi.org/10.1016/j.egyr.2023.09.008
Salem, I., Saleh, Y., Alsayed, M. F., Assaf, R., Kanan, M., Musleh Al-Sartawi, A. M. A., & Bin Saddig, R. (2023). Adoption of renewable energy sources and sustainable performance in palestinian industrial and commercial sectors with governmental role as a moderator: An explanatory approach. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100139. https://doi.org/10.1016/j.joitmc.2023.100139
Shah Danish, M. S., & Senjyu, T. (2023). Shaping the future of sustainable energy through AI-enabled circular economy policies. Circular Economy, 2(2), 100040. https://doi.org/10.1016/j.cec.2023.100040
Slebi-Acevedo, C. J., Pascual-Muñoz, P., Lastra-González, P., & Castro-Fresno, D. (2019). Multi-Response Optimization of Porous Asphalt Mixtures Reinforced with Aramid and Polyolefin Fibers Employing the CRITIC-TOPSIS Based on Taguchi Methodology. Materials, 12(22), 3789. https://doi.org/10.3390/ma12223789
Sompolska-Rzechuła, A. (2021). Selection of the Optimal Way of Linear Ordering of Objects: Case of Sustainable Development in EU Countries. Statistica, 101(1), 24-36. https://www.czso.cz/documents/10180/143570303/32019721q1_sompolska_analyses.pdf/bf53929f-2f17-4288-9efd-86d08d35b14b?version=1.1
Syed, Q. R., Apergis, N., & Goh, S. K. (2023). The dynamic relationship between climate policy uncertainty and renewable energy in the US: Applying the novel Fourier augmented autoregressive distributed lags approach. Energy, 275, 127383. https://doi.org/10.1016/j.energy.2023.127383
Tseng, M.-L., Ardaniah, V., Sujanto, R. Y., Fujii, M., & Lim, M. K. (2021). Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption. Technological Forecasting and Social Change, 171, 120937. https://doi.org/10.1016/j.techfore.2021.120937
Tutak, M., & Brodny, J. (2022). Renewable energy consumption in economic sectors in the EU-27. The impact on economics, environment and conventional energy sources. A 20-year perspective. Journal of Cleaner Production, 345, 131076. https://doi.org/10.1016/j.jclepro.2022.131076
Vafaei, N., Ribeiro, R. A., & Camarinha-Matos, L. (2018). Data normalisation techniques in decision making: Case study with TOPSIS method. International Journal of Information and Decision Sciences, 10(1), 19. http://dx.doi.org/10.1504/IJIDS.2018.090667
Wach, K., Głodowska, A., Maciejewski, M., & Sieja, M. (2021). Europeanization Processes of the EU Energy Policy in Visegrad Countries in the Years 2005–2018. Energies, 14(7), 1802. https://doi.org/10.3390/en14071802
Zeliaś, A., & Malina, A. (1997). O budowie taksonomicznej miary jakości życia. Syntetyczna miara rozwoju jest narzędziem statystycznej analizy porównawczej. Taksonomia, 4. (in Polish).
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