Evaluating California’s Housing Element Law, Housing Equity, and Housing Production (1990–2007)

Ramsey-Musolf, Darrel

doi:10.1080/10511482.2015.1128960

Cited by 22 publications

(10 citation statements)

References 47 publications

(25 reference statements)

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“…The RHNA for cities targets incorporated contiguous jurisdictions, whereas the RHNA for counties targets unincorporated contiguous and noncontiguous areas. Previous scholarship has noted the difficulty of evaluating RHNA with respect to county land use [32,53,54]. More importantly, cities resist RHNA by making claims of being "built out" [55][56][57][58][59][60].…”

Section: Methodsmentioning

confidence: 99%

“…This revision ushered in an era of regional governance in which the state housing agency, regional COGs, and cities work in tandem to increase housing inventory [31]. Under regional governance, the actors aspire to equal status; however, cities remain subordinate to the actions of the state and the COGs [32].…”

Section: The Origins Of Allocating Housing Needsmentioning

confidence: 99%

“…Accommodation means that every city must anticipate housing growth by planning for changes in housing needs. Under the Housing Element Law, the process to increase housing inventory is as follows [32]. First, California's Department of Housing and Community Development (CAHCD) creates a statewide population forecast and sends a regional portion to each COG.…”

Section: California's Housing Element Lawmentioning

confidence: 99%

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The Efficacy of Allocating Housing Growth in the Los Angeles Region (2006–2014)

Ramsey-Musolf

2020

Urban Science

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California is known for home values that eclipse U.S. housing prices. To increase housing inventory, California has implemented a regional housing needs allocation (RHNA) to transmit shares of housing growth to cities. However, no study has established RHNA’s efficacy. After examining the 4th RHNA cycle (i.e., 2006–2014) for 185 Los Angeles region cities, this study determined that RHNA directed housing growth to the city of Los Angeles and the region’s outlying cities as opposed to increasing density in the central and coastal cities. Second, RHNA directed 62% of housing growth to the region’s unaffordable cities. Third, the sample suffered a 34% shortfall in housing growth due to the Great Recession but garnered an average achievement of approximately 93% due to RHNA’s transmission of minimal housing growth shares. Lastly, RHNA maintained statistically significant associations with increased housing inventory, housing affordability, and housing growth rates, indicating that RHNA may influence housing development.

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Section: Methodsmentioning

confidence: 99%

Section: The Origins Of Allocating Housing Needsmentioning

confidence: 99%

Section: California's Housing Element Lawmentioning

confidence: 99%

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The Efficacy of Allocating Housing Growth in the Los Angeles Region (2006–2014)

Ramsey-Musolf

2020

Urban Science

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“…California has no provision that ensures that sites identified for future low-income housing will remain low-income at permit issuance. During any planning period, a city may not attain compliance until the final effective year or may thwart its required low-income housing planning [50] (p. 504). There is no database of constructed, rehabilitated, or preserved low-income units resulting from the law.…”

Section: California's Housing Element Lawmentioning

confidence: 99%

“…While notable, Lewis could not identify low-income housing because he relied on permit data. Recently, Ramsey-Musolf examined a purposive sample of Los Angeles and Sacramento region cities (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007), n = 53) and determined that compliant cities were associated with a 2.3% increase in low-income housing production (as identified by the housing plans) relative to noncompliant municipalities [50]. In contrast, compliant municipalities were associated with a −0.22% decrease in annual housing production (i.e., permits) relative to noncompliant municipalities.…”

Section: Housing Mandates and Housing Outcomes In California And Minnmentioning

confidence: 99%

According to the Plan: Testing the Influence of Housing Plan Quality on Low-Income Housing Production

Ramsey-Musolf

2017

Urban Science

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For more than 20 years, scholars have assessed a plan's content to determine the plan's quality, with quality serving as a proxy for planning efficacy. However, scholars rarely examine the relationship between a plan's quality and the plan's intended outcome. Thus, it is unclear whether quality influences planning outcomes or even advances equity. To close this gap, this study assessed a non-random sample of housing plans from 43 cities in California's Los Angeles and Sacramento regions to observe how cities accommodated low-income housing needs and to observe whether each plan's quality influenced low-income housing production. The analysis indicates that the plans identified 42 different planning tools to accommodate low-income housing needs, and nearly 60% of the implementing objectives proposed construction programs. Quality is influential after the city's location, land-use, population, and the plan's compliance with state housing law are taken into account. In summary, quality illuminated how these cities accommodated low-income housing needs and, in conjunction with other city conditions, quality influences low-income housing production. Due to this non-random sample, this study calls on planning scholars to subject quality to more empirical tests on planning outcomes in other areas to increase quality's importance in scholarship.

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Uneven Urbanscape

Ong

González

2019

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Evaluating California’s Housing Element Law, Housing Equity, and Housing Production (1990–2007)

Cited by 22 publications

References 47 publications

The Efficacy of Allocating Housing Growth in the Los Angeles Region (2006–2014)

The Efficacy of Allocating Housing Growth in the Los Angeles Region (2006–2014)

According to the Plan: Testing the Influence of Housing Plan Quality on Low-Income Housing Production

Uneven Urbanscape

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