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Price determinants of Airbnb listing prices in Lake Balaton
Touristic Region, Hungary

Gábor Dudás1*, Tamás Kovalcsik2 , György Vida3 ,
Lajos Boros4 and Gyula Nagy5

        
1Centre for Economic and Regional Studies, 5600 Békéscsaba, Szabó Dezső utca 42, Hungary. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
2Department of Economic and Social Geography, University of Szeged, Hungary. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
3Department of Economic and Social Geography, University of Szeged, Hungary. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
4Department of Economic and Social Geography, University of Szeged, Hungary. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
5Department of Economic and Social Geography, University of Szeged, Hungary. Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
*Corresponding author
   
Abstract
  
The aim of the paper was to investigate the impact of different accommodation attributes on Airbnb listing prices in a touristic area. The study applied hedonic price modeling utilizing a sample of 2417 Airbnb accommodation rental offers in the Lake Balaton Touristic Region in Hungary. Our results revealed that property-related attributes significantly influence Airbnb prices although the magnitude of these effects is very diverse and complex. The OLS findings showed that the provision of air conditioning, free internet, and free parking are the main determinants of Airbnb price in the sample area, while the number of available photos and the presence of a kitchen does not significantly influence the price. The quantile regression results further demonstrated that capacity, the provision of breakfast, and TV leads to higher prices among the higher-priced accommodations, while the number of bedrooms and bathrooms, smoking, and free parking influence more the prices of lower-end accommodations.
 
Keywords: sharing economy, Airbnb, peer-to-peer accommodation rental, hedonic price regression, quantile regression
 
CitationDudás, G., Kovalcsik, T., Vida, G., Boros, L. and Nagy, G. (2020). Price determinants of Airbnb listing prices in Lake Balaton Touristic Region, Hungary. European Journal of Tourism Research 24, 2410.
  
 
European Journal of Тourism Research