Słowa kluczowe
environmental sustainability
property price trends
market dynamics
investment strategies
Jak cytować
Abstrakt
This study examines property price trends in Czech cities (2018-2023) with more than 40,000 inhabitants using EVAL software, focusing on changes from 2018 to 2023. The methodology involves automated data collection from property listings, which are analysed to shed light on market dynamics and investment returns. The results show significant price increases, particularly in economically weaker cities, with variations influenced by economic and demographic factors. In this analysis, the environmental sustainability of urban development was additionally considered, highlighting the need for integrating sustainable practices into future urban growth. Practical implications include insights for policymakers and investors regarding the sustainability of urban property markets. Social implications reflect the ethical concerns of investment strategies that exploit economic disparities. The originality of the study lies in the use of advanced software to provide granular micro-level analysis within the Czech real estate market, providing valuable insights into localised economic impacts and investment opportunities.
Bibliografia
Bernat, L., Michlová, R., & Mitwallyová, H. (2023). Pattern classification on specifics of public sector investments and budgeting principles. International Journal of Economic Sciences, 12(1), 15-37. https://doi.org/10.52950/ES.2023.12.1.002
Čermáková, K., Hromada, E., Bednar, O., & Pavelka, T. (2023). Real estate market at a crossroad - Era of affordable housing is gone. International Journal of Economic Sciences, 12(1), 38-61. https://doi.org/10.52950/ES.2023.12.1.003
Chikhmous, A., & Rahman, M. T. (2024). Examining the effect of apartment attributes on their sale prices in Riyadh, Saudi Arabia. Spatial Information Research, 32, 411-424. https://doi.org/10.1007/s41324-023-00565-7
Czech Statistical Office. (2023). https://csu.gov.cz/home (in Czech).
de Graaff, J., & Zietz, J. (2022). The impact of crime on apartment prices in Hamburg, Germany. Journal of European Real Estate Research, 15(1), 58-87. https://doi.org/10.1108/JERER-11-2019-0047
Deaconu, A., Buiga, A., & Tothazan, H. (2022). Real estate valuation models performance in price prediction. International Journal of Strategic Property Management, 26(2), 86-105. https://doi.org/10.3846/ijspm.2022.15962
Engerstam, S. (2021). Long-run apartment price dynamics in Swedish and German cities. Journal of European Real Estate Research, 14(3), 309-330. https://doi.org/10.1108/JERER-03-2020-0020
Filenta, P., & Kydros, D. (2022). Literature review of economic and regional development through quantitative methods and social network analysis. European Journal of Interdisciplinary Studies, 14(1), 188-206. https://doi.org/10.24818/ejis.2022.11
Grybauskas, A., Pilinkiene, V., & Stundziene, A. (2021). Predictive analytics using big data for the real estate market during the COVID-19 pandemic. Journal of Big Data, 8(1), 105. https://doi.org/10.1186/s40537-021-00476-0
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
Hoxha, V., Hoxha, D., & Hoxha, J. (2022). Study of factors influencing apartment prices in Prishtina, Kosovo. International Journal of Housing Markets and Analysis, 15(5), 1242-1258. https://doi.org/10.1108/IJHMA-08-2021-0086
Hromada, E. (2024). Real estate insights on mortgage rates, apartment prices, and rentals in Czech Republic. International Journal of Economic Sciences, 13(1), 13-29. https://doi.org/10.52950/ES.2024.13.1.002
Isler, O., Flew, T., Erol, I., & Dulleck, U. (2021). Market news and credibility cues improve house price predictions: An experiment on bounded rationality in real estate. Journal of Behavioral and Experimental Finance, 31, 100550. https://doi.org/10.1016/j.jbef.2021.100550
Jasova, E., & Kaderabkova, B. (2021). Ambiguous effects of minimum wage tool of labour markets regulation – Key study of V4 countries. International Journal of Economic Sciences, 10(2), 59-86. https://doi.org/10.52950/ES.2021.10.2.004
Kaderabkova, B., & Rezabek, P. (2023). Does increased construction activity transmit into housing prices and rents? Evidence from the V4 countries and Austria. Frontiers in Sustainable Cities, 5, 1267964. https://doi.org/10.3389/frsc.2023.1267964
Kalabiska, R., Hlavacek, M., & Tagkalakis, A. (2022). Regional determinants of housing prices in the Czech Republic. Czech Journal of Economics and Finance, 72(1), 2-29. https://doi.org/10.32065/CJEF.2022.01.01
Kieti, R. M., & Ogolla, W. (2021). Hedonic valuation of apartments in Kenya. Property Management, 39(1), 34-53. https://doi.org/10.1108/PM-04-2020-0022
Kim, Y., Choi, S., & Yi, M. Y. (2020). Applying comparable sales method to the automated estimation of real estate prices. Sustainability, 12(14), 5679. https://doi.org/10.3390/su12145679
Krolage, C. (2023). The effect of real estate purchase subsidies on property prices. International Tax and Public Finance, 30(1), 215-246. https://doi.org/10.1007/s10797-022-09726-0
Kurekova, L. (2022). Regional migration and the dimension of distance in empirical analysis. International Journal of Economic Sciences, 11(2), 80-91. https://doi.org/10.52950/ES.2022.11.2.006
Lorenz, F., Willwersch, J., Cajias, M., & Fuerst, F. (2023). Interpretable machine learning for real estate market analysis. Real Estate Economics, 51(5), 1178-1208. https://doi.org/10.1111/1540-6229.12397
Łuczak, A., & Kalinowski, S. (2022). A multidimensional comparative analysis of poverty statuses in European Union countries. International Journal of Economic Sciences, 11(1), 146-160. https://doi.org/10.52950/ES.2022.11.1.009
Lukavec, M., & Kaderabkova, B. (2017). How much does a minute of commuting time cost? An examination of property prices in relation to distance to the city center in Prague, Czech Republic. Civil Engineering Journal, 26(4). https://doi.org/10.14311/CEJ.2017.04.0044
Macek, D. (2023). A tool for evaluating public procurement in the context of life cycle costs. International Journal of Economic Sciences, 12(1), 116-126. https://doi.org/10.52950/ES.2023.12.1.006
Nguyen, H. M., Phan, H. Q., Tran, T. V., & Tran, T. K. V. (2020). The hedonic method in evaluating apartment price: A case of Ho Chi Minh City, Vietnam. Journal of Asian Finance, Economics and Business, 7(6), 517-524. https://doi.org/10.13106/jafeb.2020.vol7.no6.517
Nguyen, N. T., Nguyen, L. H. M., Do, Q., & Luu, L. K. (2023). Determinants of apartment price volatility in Vietnam: A comparison between Hanoi and Ho Chi Minh City. International Journal of Housing Markets and Analysis, 18(1), 249-271. https://doi.org/10.1108/IJHMA-06-2023-0081
Nikitidou, M., Archontakis, F., & Tagkalakis, A. (2021). Real estate development in the city of Athens during the financial crisis. Journal of European Real Estate Research, 14(3), 401-420. https://doi.org/10.1108/JERER-09-2020-0051
Paixao, L. A. R. (2023). Hedonic price methods and real estate price index: An explanatory study for apartments market in Belo Horizonte, Brazil, from 2004 to 2015. Statistika - Statistics and Economy Journal, 103(2), 198-215. https://doi.org/10.54694/stat.2022.46
Popescu, A. (2021). Business formation during the coronavirus pandemic: A regional analysis considering knowledge and technological intensity. Economic Computation and Economic Cybernetics Studies and Research, 55(4), 199-214. https://doi.org/10.24818/18423264/55.4.21.13
Pozdílková, A., & Marek, J. (2022). Data mines in real estate web pages: Investigation of changes in the Czech real estate market based on elasticity and on modified price volume indicator. In H. Sanjurjo González, I. Pastor López, P. García Bringas, H. Quintián & E. Corchado (Eds.), 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (pp. 155-164). Cham: Springer. https://doi.org/10.1007/978-3-030-87869-6_15
Rotschedl, J. (2022). Study of intertemporal discounting according to income group, savings, and loans. International Journal of Economic Sciences, 11(1), 68-84. https://doi.org/10.52950/ES.2022.11.1.005
Skribans, V., Juruss, M., Demianchuk, M., Maslii, N., & Pastory, D. (2020). Real estate announcements monitoring dataset for Latvia 2018. Data in Brief, 28, 105064. https://doi.org/10.1016/j.dib.2019.105064
Srivastava, A., & Rezábek, P. (2022). Impact of digital payments on the economic growth of a country - A case of the Czech Republic. International Journal of Economic Sciences, 11(1), 85-104. https://doi.org/10.52950/ES.2022.11.1.006
Vasileiou, E., Hadad, E., & Melekos, G. (2024a). What drives the real estate market? Could behavioral indicators be useful in house pricing models? EconomiA, 25(1), 157-174. https://doi.org/10.1108/ECON-10-2023-0166
Vasileiou, E., Hadad, E., & Oikonomou, M. (2024b). Persistent trends and inefficiencies in the Greek housing market: A sentiment-based approach. Journal of European Real Estate Research, 17(1), 49-69. https://doi.org/10.1108/JERER-08-2023-0027
Venhoda, O. (2022). Application of DSTI and DTI macroprudential policy limits to the mortgage market in the Czech Republic for the year 2022. International Journal of Economic Sciences, 11(1), 105-116. https://doi.org/10.52950/ES.2022.11.1.007
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Na tych samych warunkach 4.0 Miedzynarodowe.
Prawa autorskie (c) 2025 Czasopismo "Economics and Environment"