What Drives Participation in State Voluntary Cleanup Programs? Evidence from Oregon

Land Economics ◽

10.3368/le.86.4.785 ◽

2010 ◽

Vol 86 (4) ◽

pp. 785-799 ◽

Cited By ~ 9

Author(s):

A. Blackman ◽

S. Darley ◽

T. P. Lyon ◽

K. Wernstedt

Keyword(s):

Voluntary Cleanup Programs

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Revitalizing underperforming and contaminated land through voluntary action: Perspectives from U.S. voluntary cleanup programs

Land Use Policy ◽

10.1016/j.landusepol.2012.08.018 ◽

2013 ◽

Vol 31 ◽

pp. 545-556 ◽

Cited By ~ 5

Author(s):

Kris Wernstedt ◽

Allen Blackman ◽

Thomas P. Lyon ◽

Kelly Novak

Keyword(s):

Voluntary Action ◽

Contaminated Land ◽

Voluntary Cleanup Programs

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Brownfields in Purple States: An Analysis of the Equity of Redevelopment Outcomes Under the Brownfield Program and Voluntary Cleanup Programs in Colorado and Ohio

Public Works Management & Policy ◽

10.1177/1087724x18767157 ◽

2018 ◽

Vol 24 (2) ◽

pp. 160-194

Author(s):

Kelsey Tharp ◽

Nicholas Peter Guehlstorf

Keyword(s):

Urban Sprawl ◽

Logistic Regression Model ◽

Multinomial Logistic Regression ◽

State Level ◽

Multinomial Logistic Regression Model ◽

Policy Problem ◽

Property Owners ◽

Lower Likelihood ◽

Voluntary Cleanup Programs ◽

Contaminated Properties

The proliferation of underutilized, derelict, and contaminated properties following a nationwide decline of industrial production has created a unique policy problem. Powerful liability schemes under Superfund made property owners, developers, and lenders hesitant to engage in transactions involving real estate that is contaminated or perceived as contaminated. Adoption of Federal and state policy to address these “Brownfields” in the 1990s and 2000s has attempted to promote redevelopment by limiting liability of involved parties and providing grant funding. This research hypothesizes that “environmental justice communities” have significantly lower likelihood of receiving benefit-maximizing redevelopment projects under both Federal and state-level voluntary cleanup programs. A multinomial logistic regression model considering past use of the site, socioeconomic status of the surrounding census tract and its composite urban sprawl score, and Republican control of the district containing the brownfield were used to assess the probability of a hierarchy of redevelopment outcomes.

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