Until Debt Do Us Part: Rising Student Debt Burdens and Increasingly Expensive Rental Markets

2020 ◽  
Author(s):  
Michael Genovesi
Keyword(s):  
1998 ◽  
Vol 62 (5) ◽  
pp. 354-360 ◽  
Author(s):  
DR Myers ◽  
JD Zwemer

2016 ◽  
Author(s):  
Nabil El Ghoroury ◽  
Matthew Soldner ◽  
Mary Bell Carlson ◽  
Kaitlin Pitsker
Keyword(s):  

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 466
Author(s):  
Xi Yu ◽  
Xiyang Yin ◽  
Yuying Liu ◽  
Dongmei Li

Agricultural machinery services play an increasingly important role in the land transfer market, especially in developing countries. Prior studies have explored the impact factors of machinery use on agricultural production and land transfer, respectively. However, little research has focused on the relationship between the adoption of agricultural machinery services and the land transfer of rice farmers. To bridge this gap, this study investigated the correlation between machinery services and land transfer, using unique survey data of 810 rice farmers collected from Sichuan province in China. Additionally, this study further explored the impact mechanism on land transfer of rural households with IV-Probit and IV-Tobit models. The empirical results show the following: (i) Agricultural machinery services have a significantly positive and robust effect on both the incidence and area of rice farmers’ land transfer-in, while the impact degree is different. Specifically, with other conditions remaining unchanged, and with a 1% increase in the proportion of machinery services, the average probability of land transfer-in of rice farmers increased by 2.4%, and the area of land transfer-in increased by 13.4 mu, on average. (ii) For control variables, head education, agricultural certificates and whether the majority of land, are in a flat area have positive impacts on land transfer-in behavior. Yet, age and off-farm labor have a negative impact on land transfer-in area. Moreover, our findings highlight the importance of agricultural machinery services in stimulating the development of rural land rental markets.


Author(s):  
Johanna Lilius ◽  
Jukka Hirvonen

AbstractThis paper addresses the under-researched phenomena of investments in the private rental markets in disadvantaged suburbs in Finland. Despite the application of a social-mixing policy in the Helsinki Metropolitan Area and the Nordic welfare model, suburban housing estate neighbourhoods built in the 1960s and 1970s have experienced a socioeconomic decline since the 1990s. According to several recent large surveys, housing estate neighbourhoods represent the least popular housing environments among Finns. Nevertheless, as the Helsinki Metropolitan Area is currently facing rapid population growth, these neighbourhoods have now become the target for heavy infill development, and ambitious city-led regeneration plans. Simultaneously, housing investment has become an opportunity in Finland for both national and, increasingly, also international real-estate investment companies, as well as for private households. We explore the resurge to invest in housing estate neighbourhoods through two case studies in the Helsinki Metropolitan Area. Using statistics and interviews with policymakers and institutional real-estate investors, as well as a review of policy documents as our data, we show the variegated ways in which the marketization and financialization of housing and urban renewal policies change the social geography of housing estates in the Helsinki Metropolitan Area.


Author(s):  
Kassoum Ayouba ◽  
Marie-Laure Breuillé ◽  
Camille Grivault ◽  
Julie Le Gallo

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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