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Policy Tool Bundling

Title: Policy Tool Bundling: Predicting the Selection of Policy Instruments Using Bayesian Multivariate Probit Analysis.
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Name(s): Kassekert, Anthony J., author
Feiock, Richard, professor directing dissertation
Zuehlke, Tom, university representative
Yang, Kaifeng, committee member
Berry, Frances Stokes, committee member
School of Public Administration and Policy, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2010
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: The choice of economic development incentives involves a complex system of political and economic considerations. Policy tools theory has largely focused on the individual characteristics of each particular tool and has not considered interactions among instruments or explained why multiple tools are used simultaneously in practice. Extant research has overlooked interdependence among policies and the fact that policies may serve as substitutes or compliments to each other. Building on theories of policy tools and policy diffusion, a theory of policy bundling is developed in this dissertation to explain why multiple tools are used in conjunction with one another to solve public problems. A diverse set of motivations and strategies are formed to explicate why bundling occur. The theory of policy tool bundling is empirically tested using panel data from the state of Georgia. The presence of policy tool bundling is assessed by modeling four economic incentives simultaneously with a multivariate probit model estimated using Bayesian methods. The results demonstrate that bundling is occurring between free or reduced cost land and expedited permitting and also between free or reduced cost land and industrial development bonds. No evidence of bundling was found between other incentives indicating that while policy bundling does occur in economic development, many of the observed relationships between policies are not strategic.
Identifier: FSU_migr_etd-3323 (IID)
Submitted Note: A Dissertation submitted to the Reubin O'D. Askew School of Public Administration and Policy in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Fall Semester, 2010.
Date of Defense: November 1, 2010.
Keywords: Economic development, multivariate probit, Bayesian analysis, policy tools, policy diffusion
Bibliography Note: Includes bibliographical references.
Advisory Committee: Richard Feiock, Professor Directing Dissertation; Tom Zuehlke, University Representative; Kaifeng Yang, Committee Member; Frances Stokes Berry, Committee Member.
Subject(s): Public policy
Public administration
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_migr_etd-3323
Owner Institution: FSU

Choose the citation style.
Kassekert, A. J. (2010). Policy Tool Bundling: Predicting the Selection of Policy Instruments Using Bayesian Multivariate Probit Analysis. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-3323