Land Rent and Housing Policy
A Case Study of the San Francisco Bay Area Rental Housing Market
Bibliographic Data
| ID | 2811944 |
|---|---|
| Authors | Stephen E Barton (corresponding author) |
| Year | 2011 |
| Volume | 70 |
| Issue | 4 |
| Pages | 845-873 |
| Publication date | 2011-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Economics and Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9246 • E-ISSN: 1536-7150 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1536-7150.2011.00796.x |
| PMID | 22141176 |
| OpenAlex | W1946967898 |
| Language | EN |
| Citations received | 3 |
| References cited | 17 |
In the San Francisco Bay Area, where residential rent is among the highest in the United States, an analysis of data from several sources demonstrates that high rent cannot be accounted for by higher quality, higher operating costs, or higher construction costs. At least one-third of the total rent paid is land rent. Despite increases in real incomes, very-low-income tenants in the Bay Area today have less income remaining after payment of rent than tenants did in 1960. High land rent is a long-term feature of the Bay Area rental market that results mostly from its geography, the density of its urban centers, and a strong economy, rather than from regulatory barriers to new multifamily construction. Deregulation is not a sufficient response to the effects of land rent on low-income tenants. Government should subsidize non-profit housing organizations, particularly land trusts that remove residential land from the market. Taxes on land rent would be a particularly appropriate funding source
Archaeology · Bay · Business · Civil engineering · Economic growth · Economics · Geography · Natural resource economics · Public housing · Rental housing · Renting · Subdivision · Engineering · Housing Market and Economics · Housing, Finance, and Neoliberalism · Urban, Neighborhood, and Segregation Studies
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,27 |
| Citation span | 2015 - 2024 (10) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |