scholarly journals Regional Housing Market Conditions in Spain

2020 ◽  
Author(s):  
Alessandro Galesi ◽  
Nuria Mata ◽  
David Rey ◽  
Sebastian Schmitz ◽  
Johannes Schuffels
2021 ◽  
Vol 8 (1) ◽  
pp. 159-170
Author(s):  
Vilim Brezina ◽  
◽  
Jan Polívka ◽  
Martin Stark ◽  
◽  
...  

Most cities in major agglomerations in Europe started to address the rise of short-term accommodation rentals by introducing regulation designed to protect the local housing stock. The momentum behind the widespread introduction of such regulations can be attributed to qualitative and quantitative factors. This article examines selected fields related to short-term rentals in order to uncover the (structural) triggers or conditions that are necessary and sufficient for municipalities to initiate the regulation of their housing market. The study is based on the systematic examination of the effects of those triggers and their combinations using qualitative comparative analysis (QCA). With this method, we explore the implementation or non-implementation of regulation on a sample of major German cities. The results suggest a universal set of conditions covering three central fields: housing market situation, accommodation market conditions and tourism accommodation demand.


Urban Studies ◽  
2020 ◽  
pp. 004209802094348
Author(s):  
Dayong Zhang ◽  
Qiang Ji ◽  
Wan-Li Zhao ◽  
Nicholas J Horsewood

The cross-regional dependency in the UK housing market is analysed using regional house price indices. In this article, a network approach based on partial correlations is proposed, along with rolling-window analysis to consider potential time-varying dependency. The results show that house prices in the outer South East region have the strongest influence on regional housing market interactions in the UK. This influence is stronger when the markets are highly interconnected, whereas the house prices in London have the strongest influence when the UK regional housing markets are relatively less connected.


2005 ◽  
Vol 30 (3) ◽  
pp. 75-81
Author(s):  
Roland Goetgeluk ◽  
Tom de Jong

This paper explains how a relatively simple analytical spatial algorithm and a GIS visualization of inter-municipal migration patterns revitalized the negotiations for a formal merger (called Holland Rijnland) between six municipalities in the urbanized Leiden Region and ten municipalities in the adjacent rural Bulb Region, both situated in Randstad Holland. Though the regional housing market was just one of the negotiation topics, the political discussion around it almost stymied the entire merger. We discovered a lack of knowledge about three key questions: Would the new merger function as one housing market region within the broader context of Randstad Holland? Do the original two regions interact at all? Or do lower-order regions exist instead? We answered these questions with the aid of individual migration data from Statistics Netherlands and by applying a method called Intramax Clustering in the GIS Flowmap programme. We found that the intended merger is indeed a housing market region; that interaction between the two regions is limited; and that lower-order housing market regions do exist. These findings helped to restart the negotiations; since 2004 Holland Rijnland has been a fact.


2017 ◽  
Vol 22 (7) ◽  
pp. 1769-1789 ◽  
Author(s):  
Luca Agnello ◽  
Vitor Castro ◽  
Ricardo M. Sousa

In this paper, we assess the characteristics of the housing market and its main determinants. Using data for 20 industrial countries over the period 1970Q1–2012Q2 and a discrete-time Weibull duration model, we find that the likelihood of the end of a housing boom or a housing bust increases over time. Additionally, we show that the different phases of the housing market cycle are strongly dependent on the economic activity, but credit market conditions are particularly important in the case of housing booms. The empirical findings also indicate that although housing booms have similar lengths in European and non-European countries, housing busts are typically shorter in European countries. The use of a more flexible specification for the hazard function that is based on cubic splines suggests that it evolves in a nonlinear way. From a policy perspective, our study can be useful for predicting the timing and the length of housing boom–bust cycles. Moreover, it highlights the importance of monetary policy by influencing lending rates and affecting the likelihood of occurrence of housing booms.


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