Urban sprawl and economic competition: Explaining governments' adoption and the effectiveness of urban growth management policy
Dillingham, Gavin Montgomery
Stein, Robert M.
Doctor of Philosophy
This research considers the likelihood of adoption of and the effectiveness of growth management policy. First, I consider the likelihood that states adopt growth management policies. To conduct this research, I employ the policy diffusion model and add to the economic competition component of this model. I argue that the relative severity of a policy problem influences policy adoption among competing governments. In other words, states remain competitive with other states by adopting a policy when its policy problems are worse or similar to competitor states. This expectation is supported. I find that the higher the relative policy severity the higher the likelihood of policy adoption. Secondly. I examine how institutional structure influences policy outcomes. Here I consider the role of two institutional components: decision-making autonomy and policy-making costs of metropolitan governments. First, I expect that more autonomy at the metropolitan level will result in more effective policy outcomes. Second! I expect that metropolitan areas that receive more state aid will have more effective policy outcomes. Finally, I suggest that a conditional relationship exists between autonomy and transaction costs. More specifically, I contend that transaction costs increase, as a result of increasing autonomy. Metropolitan areas with more autonomy will likely receive less financial assistance, thereby increasing the metropolitan area's cost of implementing a policy. I find that, separately, state aid and autonomy have a significant affect on growth management outcomes. Metropolitan areas that receive state aid have more effective policy outcomes and less autonomous metropolitan areas have less effective policy outcomes. I do not find a conditional relationship between transaction costs and autonomy.
Political science; Urban planning; Regional planning