Spatio-temporal modelling of housing satisfaction indicators based on statistical data – evidence from Poland

Radosław Cellmer

doi:10.31648/aspal.8421

Published: 2023-09-17

Vol. 22 No. 3 (2023)

Spatio-temporal modelling of housing satisfaction indicators based on statistical data – evidence from Poland

Radosław Cellmer

Acta Scientiarum Polonorum Administratio Locorum

Section: Articles

https://doi.org/10.31648/aspal.8421

Abstract

Motives: The research problem addressed in the paper is the identification of sources of the spatial differentiation of housing satisfaction under the influence of external factors (economic, demographic and social).
Aim: The main research objective was to identify the determinants and spatial differentiation of housing satisfaction in Poland. Both classical panel models and spatial panel models were used for the analyses.
Results: The results of the study confirmed the hypothesis that the inclusion of spatial dependencies significantly improved the quality of the panel model. The developed models supported the determination of statistical relationships between economic, demographic and social factors, the number of dwellings per 1000 inhabitants, and the average floor space per person. In addition, the spatial distribution of individual effects in spatial panel models revealed variation in housing satisfaction that resulted from different levels of socio-economic development.

Keywords:

housing needs, spatial dependencies, spatial panel model, spatio-temporal analysis

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Cellmer, R. (2023). Spatio-temporal modelling of housing satisfaction indicators based on statistical data – evidence from Poland. Acta Scientiarum Polonorum Administratio Locorum, 22(3), 321–334. https://doi.org/10.31648/aspal.8421

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References

Amerigo, M., & Aragones, J. I. (1997). A Theoretical and Methodological Approach to the Study of Residential Satisfaction. Journal of Environmental Psychology, 17(1), 47–57. https://doi.org/10.1006/JEVP.1996.0038
Google Scholar

Anselin, L., Bera, A. K., Florax, R., & Yoon, M. J. (1996). Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics, 26(1), 77–104. https://doi.org/10.1016/0166-0462(95)02111-6
Google Scholar

Bajari, P., Chan, P., Krueger, D., & Miller, D. (2010). A Dynamic Model of Housing Demand. NBER Working Paper Series, 54(April), 409–442. Retrieved from: http://www.nber.org/papers/w15955
Google Scholar

Baltagi, B. (2021). Econometric Analysis of Panel Data (3rd ed.). Springer Nature.
Google Scholar

Baltagi, B., Song, S. H., Koh, W., Baltagi, B., Song, S. H., & Koh, W. (2003). Testing panel data regression models with spatial error correlation. Journal of Econometrics, 117(1), 123–150. https://doi.org/10.1016/ S0304-4076(03)00120-9
Google Scholar

Bayer, P., McMillan, R., Murphy, A., & Timmins, C. (2016). A Dynamic Model of Demand for Houses and Neighborhoods. Econometrica, 84(3), 893–942. https://doi.org/10.3982/ecta10170
Google Scholar

Belke, A., & Keil, J. (2018). Fundamental Determinants of Real Estate Prices: A Panel Study of German Regions. International Advances in Economic Research, 24(1), 25–45. https://doi.org/10.1007/S11294-018-9671-2
Google Scholar

Bramley, G., Pawson, H., White, M., Watkins, D., & Pleasce, N. (2010). Estimating housing need. University of York. Retrieved from: https://eprints. whiterose.ac.uk/72850/
Google Scholar

Broitman, D., & Koomen, E. (2015). Regional diversity in residential development: a decade of urban and peri-urban housing dynamics in The Netherlands. Letters in Spatial and Resource Sciences, 8(3), 201–217. https:// doi.org/10.1007/S12076-014-0134-Y
Google Scholar

Elhorst, J., Scheuer, C., Boot, E., Carse, N., Clardy, A., Gal¬lagher, J., Heck, S., Marron, S., Martinez-Alvarez, L., Masarykova, D., Mcmillan, P., Murphy, F., Steel, E., Ekdom, H. van, & Vecchione, H. (2014). Spatial econo¬metrics: from cross-sectional data to spatial panels. https://doi.org/10.1007/978-3-642-40340-8
Google Scholar

Griliches, Z., & Intriligator, M. D. (1984). Handbook of Econometrics (Vol. 2). Elsevier.
Google Scholar

Heng, C. (2014). Analysis of panel data: Second Edition. In International Journal of Forecasting (Issue 1). Elsevier.
Google Scholar

Holly, S., Pesaran, M. H., & Yamagata, T. (2010). A spatio-temporal model of house prices in the USA. Journal of Econometrics, 158(1), 160–173. https://doi. org/10.1016/J.JECONOM.2010.03.040
Google Scholar

Jayaraman, P., Lacombe, D. J., & Gebremedhin, T. (2013). A Spatial Analysis of the Role of Residential Real Estate Investment in the Economic Development of the Northeast Region of the United States. Agricultural and Applied Economics Assaciation’s AAEA & CAES Joint Annual Meeting, Washington, DC. Conference paper. https://doi.org/10.22004/AG.ECON.150953
Google Scholar

Jones, C., & Leishman, C. (2006). Spatial Dynamics of the Housing Market: An Interurban Perspective. Urban Studies, 43(7), 1041–1059. https://doi. org/10.1080/00420980600711316
Google Scholar

Kam, K. J., Lim, A. S. H., Al-Obaidi, K. M., & Lim, T. S. (2018). Evaluating Housing Needs and Preferences of Generation Y in Malaysia. Planning Practice & Research, 33(2), 172–185. https://doi.org/10.1080/0 2697459.2018.1427413
Google Scholar

Kim, J. S., & Kim, J. M. (2017). The Relation between Housing Needs and Housing Function according to the Maslow’s Theory of Needs. KIEAE Journal, 17(4), 13–19. https://doi.org/10.12813/kieae.2017.17.4.013
Google Scholar

King, P. (2006). Housing, individuals and the state: The morality of government intervention. Housing, Individuals and the State: The Morality of Government Intervention, 1–151. https://doi. org/10.4324/9780203004746
Google Scholar

Lee, L., & Yu, J. (2010). Some recent developments in spatial panel data models. Regional Science and Urban Economics, 40(5), 255–271. https://doi.org/10.1016/J. REGSCIURBECO.2009.09.002
Google Scholar

Max, L. (1999). Determinants of residential satisfaction: Ordered logit vs. regression models. Growth and Change, 30(2), 264–287. https://doi.org/10.1111/0017- 4815.00113
Google Scholar

Millo, G., & Piras, G. (2012). Splm: Spatial panel data models in R. Journal of Statistical Software, 47(1). https://doi.org/10.18637/jss.v047.i01
Google Scholar

Mohit, M. A., Mahfoud, A., Al-Khanbashiraja, M., & Al-Khanbashi Raja, M. (2014). Residential Satisfac-tion – Concept Theories and Empirical Studies. Plan¬ning Malaysia, III(3), 47–66. https://doi.org/10.21837/ PM.V12I3.131
Google Scholar

Myers, D., Pitkin, J., & Park, J. (2002). Estimation of housing needs amid population growth and change. Housing Policy Debate, 13(3), 567–596. https://doi.org/ 10.1080/10511482.2002.9521455
Google Scholar

Nurzafira, Z. A., Mohamad, I. A., Noraliza, B., & Muhammad, N. A. (2019). Residential Satisfaction: Literature Review and A Conceptual Framework. IOP Conference Series: Earth and Environmental Science, 385(1), 012040. https://doi.org/10.1088/1755- 1315/385/1/012040
Google Scholar

Roslan, S. N. M., Abd Azis, W. N. A. W., Kari, F., & Satar, N. M. (2020). Assessment of Housing Attributes Towards Neighbourhood Satisfaction in The Klang Valley. International Journal of Property Sciences (E-ISSN: 2229-8568), 10(1), 1–15. https://doi. org/10.22452/ijps.vol10no1.1
Google Scholar

Rowley, S., Leishman, C., Baker, E., Bentley, R., & Lester, L. (2017). Modelling housing need in Australia to 2025. AHURI Final Report, 287, 1–70. https://doi. org/10.18408/AHURI-8106901
Google Scholar

Tan, T. H. (2016). Residential satisfaction in gated com¬munities: Case study of Desa Park City, Kuala Lum-pur, Malaysia. Property Management, 34(2), 84–99. https://doi.org/10.1108/PM-02-2015-0009
Google Scholar

Tibaijuka, A. K. (2013). Building Prosperity: The Centrality of Housing in Economic Development. Earthscan. https://doi.org/10.4324/9781849770040
Google Scholar

Vera-Toscano, E., & Ateca-Amestoy, V. (2008). The rele¬vance of social interactions on housing satisfaction. Social Indicators Research, 86(2), 257–274. https://doi. org/10.1007/S11205-007-9107-5
Google Scholar

Wang, Z., & Zhang, Q. (2014). Fundamental factors in the housing markets of China. Journal of Housing Economics, 25, 53–61. https://doi.org/10.1016/J. JHE.2014.04.001
Google Scholar

Xiong, X., Guo, H., & Hu, X. (2020). The housing demand analysis and prediction of the real estate based on the AWGM (1, N) model. Grey Systems: Theory and Application, 11(2), 222–240. https://doi.org/10.1108/ gs-09-2019-0035
Google Scholar

Spatio-temporal modelling of housing satisfaction indicators based on statistical data – evidence from Poland

Abstract

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Radosław Cellmer