An attempt to model the demand for new cars in Poland and its spatial differences

Wojciech Kisiała , Robert Kudłak , Jędrzej Gadziński , Wojciech Dyba , Bartłomiej Kołsut , Tadeusz Stryjakiewicz


The article seeks to identify socio-economic conditions that affect the demand of individual consumers for cars and to analyse the spatial differences of those conditions. To achieve this objective use was made of methods and models of spatial econometrics. The analysis conducted embraced all poviats in Poland (the secondlevel unit of the Polish administrative division, equivalent to LAU-1, previously called NUTS-4) and covered the years 2010-2015. The findings show that the primary factor affecting the demand for new cars in Poland, other than the price, was the level of wealth of potential consumers. A complementary role was played by the demographic situation, the level of local development and the level of satisfaction of the needs for a motor vehicle. An in-depth analysis in the form of geographically weighted regression (GWR) showed there to be spatial variations in the conditions identified, which might explain the wide differences in the level of motorisation and the demand for new cars in Poland.
Author Wojciech Kisiała (WZ / KIiN)
Wojciech Kisiała,,
- Department of Investment and Real Estate
, Robert Kudłak - Adam Mickiewicz University (UAM), MNiSW [80]
Robert Kudłak,,
, Jędrzej Gadziński - University Adam Mickiewicz in Poznań
Jędrzej Gadziński,,
, Wojciech Dyba - University Adam Mickiewicz in Poznań
Wojciech Dyba,,
, Bartłomiej Kołsut - University Adam Mickiewicz in Poznań
Bartłomiej Kołsut,,
, Tadeusz Stryjakiewicz - University Adam Mickiewicz in Poznań
Tadeusz Stryjakiewicz,,
Journal seriesEconomics and Business Review, [Poznan University of Economics Review], ISSN 2392-1641, e-ISSN 2450-0097, [1643-5877], (B 15 pkt)
Issue year2017
Vol3 (17)
Publication size in sheets0.8
Keywords in Englishcar market, socio-economic determinants of demand, spatial perspective, econometric modelling, geographically weighted regression, Poland
Languageen angielski
2017_4_111.pdf 2.4 MB
Score (nominal)15
Score sourcejournalList
ScoreMinisterial score = 15.0, 23-03-2020, ArticleFromJournal
Citation count*3 (2020-09-14)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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