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Correlation of Economic Development of Countries with the Potential of their Housing Real Estate Markets: A Case Study in the European Union

Author

Listed:
  • Ireneusz Dabrowski
  • Lukasz Mach
  • Lukasz Mikolajczyk
  • Arkadiusz Kuswik

Abstract

Purpose: The aim of the research is to examine the correlation between economic development in the macroeconomic scale and the development of the real estate market. Design/Methodology/Approach: The tool of the applied computational engineering is cluster analysis, the hierarchical method based on Euclidean distance and Ward’s method (algorithm). Findings: The research process carried out confirmed the existence of a dependence between macroeconomic determinants and parameters of the real estate market. A division into three homogeneous groups of countries, whose development shows signs of similarity, was obtained. This allows making comparisons between individual countries, neglecting their geographical and historical dependences. Practical Implications: The utilitarian usability of applying computational tools used in economic analyses was proved. Originality/Value: Individual clusters make a certain reference point for particular countries. The obtained results offer the possibility of applying a suitable strategy which provides bases for development and also the possibility of verifying its effects against a whole group.

Suggested Citation

  • Ireneusz Dabrowski & Lukasz Mach & Lukasz Mikolajczyk & Arkadiusz Kuswik, 2020. "Correlation of Economic Development of Countries with the Potential of their Housing Real Estate Markets: A Case Study in the European Union," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 660-678.
  • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:special1:p:660-678
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    References listed on IDEAS

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    1. Glenn Milligan & Martha Cooper, 1988. "A study of standardization of variables in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 181-204, September.
    2. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    3. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    4. Huang, Yuting & Li, Qiang & Liow, Kim Hiang & Zhou, Xiaoxia, 2020. "Is Housing the Business Cycle? A Multiresolution Analysis for OECD Countries," Journal of Housing Economics, Elsevier, vol. 49(C).
    5. Brzezicka, Justyna & Wisniewski, Radoslaw & Figurska, Marta, 2018. "Disequilibrium in the real estate market: Evidence from Poland," Land Use Policy, Elsevier, vol. 78(C), pages 515-531.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Elżbieta Jasińska & Edward Preweda & Piotr Łazarz, 2023. "Renewable Energy Sources in the Residential Property Market, Exemplified by the City of Krakow (Poland)," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    2. Renigier-Biłozor, Małgorzata & Janowski, Artur & Walacik, Marek & Chmielewska, Aneta, 2022. "Modern challenges of property market analysis- homogeneous areas determination," Land Use Policy, Elsevier, vol. 119(C).
    3. Sebastian Kokot, 2021. "Primary Housing Market in the Context of Wages and Creditworthiness in Selected Cities in Poland in the Years 2006-2019," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 1025-1040.

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    More about this item

    Keywords

    real estate market; economy; segmentation; cluster analysis; development; Ward's method; Euclidean distance;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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