Market for Apartment Swap and Rental Market

2019 ◽  
Author(s):  
Agostino Manduchi ◽  
Aleksandar Petreski ◽  
Andreas Stephan
Keyword(s):  
Rental Market

The impact of Airbnb on a non-touristic city. A Case study of short-term rentals in Santa Cruz de Tenerife (Spain)

Erdkunde ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 191-204
Author(s):  
Marcus Hübscher ◽  
Juana Schulze ◽  
Felix zur Lage ◽  
Johannes Ringel
Keyword(s):  
Santa Cruz ◽  
Short Term ◽  
Rental Market ◽  
Rural Space ◽  
Use Of Data ◽  
Web Scraping ◽  
Per Capita ◽  
Per Se ◽  
The Impact

Short-term rentals such as Airbnb have become a persistent element of today’s urbanism around the globe. The impacts are manifold and differ depending on the context. In cities with a traditionally smaller accommodation market, the impacts might be particularly strong, as Airbnb contributes to ongoing touristification processes. Despite that, small and medium-sized cities have not been in the centre of research so far. This paper focuses on Santa Cruz de Tenerife as a medium-sized Spanish city. Although embedded in the touristic region of the Canary Islands, Santa Cruz is not a tourist city per se but still relies on touristification strategies. This paper aims to expand the knowledge of Airbnb’s spatial patterns in this type of city. The use of data collected from web scraping and geographic information systems (GIS) demonstrates that Airbnb has opened up new tourism markets outside of the centrally established tourist accommodations. It also shows that the price gap between Airbnb and the housing rental market is broadest in neighbourhoods that had not experienced tourism before Airbnb entered the market. In the centre the highest prices and the smallest units are identified, but two peripheral quarters stand out. Anaga Mountains, a natural and rural space, has the highest numbers of Airbnb listings per capita. Suroeste, a suburban quarter, shows the highest growth rates on the rental market, which implies a linkage between Airbnb and suburbanization processes.

How to increase customer repeated bookings in the short-term room rental market? A large-scale granular data investigation

2021 ◽  
Vol 143 ◽  
pp. 113495
Author(s):  
Jiang Wu ◽  
Jingxuan Cai ◽  
Xin (Robert) Luo ◽  
Jose Benitez
Keyword(s):  
Large Scale ◽  
Short Term ◽  
Rental Market ◽  
Data Investigation

A Rising Tide Drowns Unstable Boats: How Inequality Creates Homelessness

2021 ◽  
Vol 693 (1) ◽  
pp. 28-45
Author(s):  
Thomas H. Byrne ◽  
Benjamin F. Henwood ◽  
Anthony W. Orlando
Keyword(s):  
Income Inequality ◽  
Low Income ◽  
Housing Prices ◽  
Community Level ◽  
Crowding Out ◽  
Rental Market ◽  
Home Prices ◽  
Collateral Effect ◽  
Local Policies ◽  
Low Income Households

Is income inequality a driver of homelessness at the community level? We theorize that inequality affects homelessness both by crowding out low-income households from the rental market (what we call an “income channel”) and by causing home prices to rise (a “price channel”). We construct a dataset of information on inequality, homelessness, rent burden, and housing prices in 239 communities from 2007 to 2018 and use it to assess the income inequality–homelessness relationship. Our results suggest that income inequality is a significant driver of community homelessness and that the “income channel” is the more likely mechanism through which homelessness is created. We argue that broader policy efforts to reduce income inequality are likely to have the collateral effect of reducing homelessness, and we discuss the need for national and local policies to help low-income households afford housing.

The Effect of Rural Poverty on Access to Land in Ethiopia

2021 ◽  
pp. 097300522097106
Author(s):  
Kassie Dessie Nigussie ◽  
Assefa Admassie ◽  
M. K. Jayamohan
Keyword(s):  
Panel Data ◽  
Rural Poverty ◽  
Land Ownership ◽  
Ordered Probit ◽  
Rural Poor ◽  
Rental Market ◽  
Tobit Models ◽  
Significance Levels ◽  
Poverty Status

Land ownership and its persistent gap between rich and poor is one of the pressing development challenges in Africa. Access to land has fundamental implications for a poor and agrarian African economy like Ethiopia, where most people depend on agriculture for their livelihood. Empirical literatures suggest that access to land is a cause and effect of poverty—at the same time, the role of poverty status of the household in gaining or limiting access to land has received only a passing attention from researchers. This study investigates the effect of ‘being poor’ on access to land using ordered probit and censored tobit models. Three wave panel data of Ethiopian Rural Socioeconomic Survey (ERSS) collected between 2011–12 and 2015–16 are used for the analysis. The study result confirms that poverty does have significant effect on household’s participation and intensity of participation on both sides of the rental market. It is found that being poor, as compared to non-poor counterpart, leads to an increase in the likelihood of rent-in land by 0.068 hectare and reduce the likelihood of rent-out land by 0.046 hectare at 1% and 5% significance levels, respectively. The tenants are not characterised as economically disadvantaged reflecting the existence of reverse tenancy among rural poor in Ethiopia.

The spatial dimension of the French private rental markets: Evidence from microgeographic data in 2015

2020 ◽  
pp. 239980832097787
Author(s):  
Kassoum Ayouba ◽  
Marie-Laure Breuillé ◽  
Camille Grivault ◽  
Julie Le Gallo
Keyword(s):  
Spatial Heterogeneity ◽  
Detailed Analysis ◽  
Spatial Dimension ◽  
Median Income ◽  
Hedonic Prices ◽  
Rental Market ◽  
Housing Characteristics ◽  
Heterogeneous Effects ◽  
Non Linear ◽  
Rental Markets

This article draws on data collected by local rental observatories in 12 French urban units in 2015 to analyze the spatial dimension of hedonic rental prices in the private rental market through (i) the spatial heterogeneity between urban units and (ii) the wide variety of contextual and locational characteristics (socio-economic, environmental (dis)amenity, and accessibility) and flexible specifications to capture their potential non-linear influence on rent. Based on a joint test of equality of coefficients across all urban units, we find that hedonic prices differ for 75% of the characteristics, thereby justifying a detailed analysis of heterogeneity. Lyon, Nice, and Paris taken individually are the urban units with the most specific valuations of housing characteristics and socio-economic characteristics. Our analysis reveals that housing characteristics, median income, and distance to the center are clearly the variables with the most heterogeneous effects on hedonic prices.

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