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International Journal of Housing Markets and Analysis

ISSN: 1753-8270
Online from: 2008

This journal is indexed by Thomson Reuters.
This journal is indexed by Scopus.

Do urban tourism hotspots affect Berlin housing rents?

Author(s):
Philipp Schäfer ( University of Regensburg Regensburg Germany )
Jens Hirsch ( University of Regensburg Regensburg Germany )
Citation:
Philipp Schäfer, Jens Hirsch, (2017) "Do urban tourism hotspots affect Berlin housing rents?", International Journal of Housing Markets and Analysis, Vol. 10 Issue: 2, pp.-, doi: 10.1108/IJHMA-05-2016-0031
DOI
http://dx.doi.org/10.1108/IJHMA-05-2016-0031
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The fulltext of this document has been downloaded 12 times since 2017

Abstract:

The aim of the study is to analyze whether urban tourism affects Berlin housing rents. Urban tourism is of considerable economic importance for many urban destinations and has developed very strongly over the last few years. The prevailing view is that urban tourism triggers side-effects, which affect the urban housing markets through a lack of supply and increasing rents. Berlin represents Germany’s largest rental market and is particularly affected by growing urban tourism and increasing rents.

The paper considers whether urban tourism hotspots affect Berlin´s housing rents, using two hedonic regression approaches, namely conventional ordinary least squares (OLS) and generalized additive models (GAM). The regression models incorporate housing characteristics as well as several distance-based measures. The research considers tourist attractions, restaurants, hotels and holiday flats as constituents of tourism hotspots and is based on a spatial analysis using geographic information systems (GIS).

The results can be regarded as a preliminary indication that rents are indeed affected by urban tourism. Rents seem to be positively correlated with the touristic attractiveness of a particular location, even if it is very difficult to accurately measure the real quantity of the respective effects of the urban tourism amenities, as the various models show. GAM outperforms the results of OLS and seems to be more appropriate for spatial analysis of rents across a city.

To the authors’ best knowledge, the paper provides the first empirical analysis of the effects of urban tourism hotspots on the Berlin housing market.

Publisher:
Emerald Group Publishing Limited
Copyright:
© Emerald Group Publishing Limited 2017
Published by Emerald Group Publishing Limited

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