Dissertation/Thesis Abstract

Examining Economic Redevelopment Programs with Multinomial Logistic Regression in Colorado and Ohio
by Tharp, Kelsey, M.S., Southern Illinois University at Edwardsville, 2015, 90; 10000369
Abstract (Summary)

The proliferation of underutilized, derelict, and contaminated properties following a nationwide decline of industrial production has created a unique policy problem. Additionally, powerful liability schemes under the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA) 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 1990’s and 2000’s has attempted to promote redevelopment by limiting liability of involved parties and providing grant funding. This research hypothesizes that “environmental justice communities” defined by markedly lower socioeconmic status than surrounding communities have significantly lower likelihood of receiving benefit-maximizing redevelopment projects under both Federal and State-level 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 party control of the district containing the brownfield were drawn from the existing literature to consider a variety of factors that may influence redevelopment outcomes.

Indexing (document details)
Advisor: Guehlstorf, Nicholas P.
Commitee: Manuel, Jeffrey E., Moffett, Kenneth W.
School: Southern Illinois University at Edwardsville
Department: Environmental Sciences
School Location: United States -- Illinois
Source: MAI 55/03M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Environmental economics, Political science, Environmental Justice
Keywords: Brownfields, Colorado, Environmental justice, Logistic regression, Ohio, Voluntary cleanup program
Publication Number: 10000369
ISBN: 9781339408613
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