The cost of capital, tax reform, and the future of the rental housing market

1992 ◽  
Vol 31 (3) ◽  
pp. 337-359 ◽  
Author(s):  
Denise DiPasquale ◽  
William C. Wheaton
Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 305
Author(s):  
Juan Yan ◽  
Marietta Haffner ◽  
Marja Elsinga

Inclusionary housing (IH) is a regulatory instrument adopted by local governments in many countries to produce affordable housing by capturing resources created through the marketplace. In order to assess whether it is efficient, scholarly attention has been widely focused on its evaluation. However, there is a lack of studies evaluating IH from a governance perspective. Since IH is about involving private actors in affordable housing production, the governance point of view of cooperating governmental and non-governmental actors governing society to achieve societal goals is highly relevant. The two most important elements of governance—actors and interrelationships among these actors—are taken to build an analytical framework to explore and evaluate the governance of IH. Based on a research approach that combines a literature review and a case study of China, this paper concludes that the ineffective governance of Chinese IH is based on three challenges: (1) The distribution of costs and benefits across actors is unequal since private developers bear the cost, but do not enjoy the increments of land value; (2) there is no sufficient compensation for developers to offset the cost; and (3) there is no room for negotiations for flexibility in a declining market. Given that IH is favored in many Chinese cities, this paper offers the policy implications: local governments should bear more costs of IH, rethink their relations with developers, provide flexible compliance options for developers, and perform differently in a flourishing housing market and a declining housing market.


2019 ◽  
Vol 52 (2) ◽  
pp. 449-468 ◽  
Author(s):  
Geoff Boeing

As the rental housing market moves online, the internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information inequalities. Biases in online listings’ representativeness could impact different communities’ access to housing search information, reinforcing traditional information segregation patterns through a digital divide. They could also circumscribe housing practitioners’ and researchers’ ability to draw broad market insights from listings to understand rental supply and affordability. This study examines millions of Craigslist rental listings across the USA and finds that they spatially concentrate and overrepresent whiter, wealthier, and better-educated communities. Other significant demographic differences exist in age, language, college enrollment, rent, poverty rate, and household size. Most cities’ online housing markets are digitally segregated by race and class, and we discuss various implications for residential mobility, community legibility, gentrification, housing voucher utilization, and automated monitoring and analytics in the smart cities paradigm. While Craigslist contains valuable crowdsourced data to better understand affordability and available rental supply in real time, it does not evenly represent all market segments. The internet promises information democratization, and online listings can reduce housing search costs and increase choice sets. However, technology access/preferences and information channel segregation can concentrate such information-broadcasting benefits in already-advantaged communities, reproducing traditional inequalities and reinforcing residential sorting and segregation dynamics. Technology platforms like Craigslist construct new institutions with the power to shape spatial economies, human interactions, and planners’ ability to monitor and respond to urban challenges.


Author(s):  
Sindija Balode ◽  
Uldis Kamols

Abstract The research focuses on the rental housing market in Riga and reveals that among factors that affect the rent level in neighbourhoods of Riga the most are distance from the city centre, neighbourhood safety, quality of housing and transport infrastructure, access to shopping malls, and employment opportunities. The aim of the research is to analyse the housing market in Riga, by putting a special focus on price determinants and lesson keys of Helsinki. Quantitative and qualitative research methods are used in the paper with the biggest contribution being extraction and analysis of data about more than 1800 rental apartments in Riga from the largest Latvian online real estate advertisement platform. Quantitative analysis is based on investigating relationships between average rent levels in different neighbourhoods of Riga and index values of 23 urban environment factors. In addition, the rental housing market in Helsinki is researched, emphasising few guidelines for rental housing market improvements in Riga, such as introducing government subsidies.


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