Demographic Change and the Housing Stock of Large and Medium-Sized Cities in the Context of Sustainable Development

Małgorzata Blaszke (), Anna Oleńczuk-Paszel (), Agnieszka Sompolska-Rzechuła and Monika Śpiewak-Szyjka
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Małgorzata Blaszke: Department of Real Estate, Faculty of Economics, West Pomeranian University of Technology in Szczecin, 70-210 Szczecin, Poland
Anna Oleńczuk-Paszel: Department of Real Estate, Faculty of Economics, West Pomeranian University of Technology in Szczecin, 70-210 Szczecin, Poland
Agnieszka Sompolska-Rzechuła: Department of Mathematical Applications in Economy, Faculty of Economics, West Pomeranian University of Technology in Szczecin, 71-270 Szczecin, Poland
Monika Śpiewak-Szyjka: Department of Real Estate, Faculty of Economics, West Pomeranian University of Technology in Szczecin, 70-210 Szczecin, Poland

Sustainability, 2024, vol. 16, issue 24, 1-25

Abstract: The changing demographics of the global population represent a significant challenge for humanity. Such changes have an impact on the functioning of the economy, including the housing market, and necessitate constant monitoring. This study evaluated the spatial diversity of all the large and medium-sized cities in the West Pomeranian Voivodeship, situated in the north-west of Poland, in terms of three key factors: demographic potential, housing stock and their price levels. Furthermore, the interactions between the cities’ positions in the rankings, which were created on the basis of the aforementioned phenomena, were identified. In order to achieve the objectives of the study, the linear object ordering method, the Hellwig pattern method and Kendall’s tau rank correlation coefficient were employed. The research was conducted using data from the years 2018 to 2022, sourced from the databases of the Polish Statistical Office and the Analysis and Monitoring System of the Real Estate Market. The study observed a relatively strong positive correlation between the positions of cities in the ranking created for demographic potential and the level of residential property prices for the year 2020. The correlation between the positions of cities in the rankings for demographic potential and housing real estate stock was found to be very weak. The case of Koszalin was identified as an optimal location for residence due to the existing residential property stock and its prices. This was corroborated by the city’s residents, who also enabled the city to be ranked at the top of a ranking created for this phenomenon through the diagnostic variables for demographic potential. This article addresses a research gap, as, to the best of our knowledge, the indicated relationships have not yet been analysed in the contexts presented in the article.

Keywords: demographic change; housing stock; linear ordering method; sustainable development; cities (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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