Spatial Autocorrelation in the Analysis of the Land Property Market on the Example of Szczecin and Bydgoszcz

Authors

  • Barbara Batóg University of Szczecin, Faculty of Economics and Management, Institute of Econometrics and Statistics, Department of Operations Research and Applied Mathematics in Economics
  • Iwona Foryś
  • Radosław Gaca

DOI:

https://doi.org/10.18778/0208-6018.329.03

Keywords:

land property market, spatial autocorrelation

Abstract

The location of the real estate is the most important determinant of its value. Location does not change, therefore the value of real estate strongly depends on factors specific to a given area within a city. Topography influencing a possibility of land development, territorial development, installations and road infrastructure as well as the neighbourhood have great influence over the price of the real estate. All these factors are connected with buyers’ preferences and with transactional price, unit price and value of the property. The aim of the paper is to analyse the influence of the relative position of the examined real estates on their prices; and comparison of results obtained for Szczecin and Bydgoszcz. In order to achieve this aim Moran’s I Statistic and spatial autoregressive model were applied. The data came from notarial deeds from registers of real estate prices and values concerning transactions on land ownerships on unbuilt land properties in 2014 in Szczecin and Bydgoszcz.

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References

Anselin L. (1998), Spatial Econometrics: Methods and Models, Springer, Dordrecht.

Arbia G., Baltagi B.H. (2009), Spatial Econometrics. Methods and Applications, Physica‑Verlag, Heidelberg.

Batóg B., Foryś I . (2014), Spatial Analysis of Housing Market Transactions in Szczecin, “Acta Universitatis Lodziensis. Folia Oeconomica”, no. 6(309), pp. 31–42.

Batóg B., Foryś I. (2016), Porównanie struktury mieszkań w obrocie w wybranych miastach Polski północno‑zachodniej, “Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie. Cracow Review of Economics and Management”, no. 9(957), Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie, Kraków, pp. 55–70.

Been V., Voicu I. (2008), The Effect of Community Gardens on Neighbouring Property Values, “Real Estate Economics”, vol. 36, no. 2, pp. 241–283.

Domański C. (1990), Testy statystyczne, PWE, Warszawa.

Ellen I .G., Schill M.H., Schwartz A.E, Voicu I . (2007), Does Federally Subsidized Rental Housing Depress Neighborhood Property Values?, “Journal of Policy Analysis and Management”, no. 26, pp. 257–280.

Foryś I . (ed.) (2014), Zarządzanie nieruchomościami handlowymi, Wydawnictwo Poltext, Warszawa.

Foryś I., Nowak M. (2014), Zarządzanie przestrzenią w gospodarowaniu nieruchomościami, Wydawnictwo Poltext, Warszawa.

Fujita M., Krugman P., Venables A. (1999), The Spatial Economy: Cities, Regions, and International Trade, The MIT Press, Cambridge.

Lee J., Wong D.W.S. (2001), Statistical Analysis with Arcview GIS, John Wiley & Sons Inc., USA.

Suchecki B. (ed.) (2010), Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych, Wydawnictwo C.H. Beck, Warszawa.

Wang L. (2006), Spatial Econometric Issues in Hedonic Property Value Models: Model Choice and Endogenous Land Use, Pennsylvania State University, ProQuest, Pennsylvania.

Wurtzebach C., Miles M. (1987), Modern Real Estate, John Wiley & Sons Inc., USA.

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Published

2017-09-22

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Section

Articles

How to Cite

Batóg, Barbara, Iwona Foryś, and Radosław Gaca. 2017. “Spatial Autocorrelation in the Analysis of the Land Property Market on the Example of Szczecin and Bydgoszcz”. Acta Universitatis Lodziensis. Folia Oeconomica 3 (329): [33]-43. https://doi.org/10.18778/0208-6018.329.03.