A Spatial Model with Discrete Policy Choices That May Not Match: The Case of Regulatory Competition

Autor: David R. Agrawal, Gregory A. Trandel
Rok vydání: 2017
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
DOI: 10.2139/ssrn.2916818
Popis: We study the dynamics of policy diffusion when a first-moving jurisdiction that legalizes an activity reduces the probability of legalization in nearby later-acting jurisdictions. If a jurisdiction's firms can sell to neighboring residents, but if the good is competitively sold at every location, then policies converge: all jurisdictions legalize or all jurisdictions ban. If firms have some market power, and if the location of firms depends on the order of legalization, an early-adopting government may legalize, but an otherwise identical, but later-acting, neighboring government might not. This possible asymmetry is due to state dependence resulting from the initial distribution of firms following the first-mover's legalization. Empirically, counties that legalize the sale of fireworks first have more firework vendors just inside their border than counties that legalize later. Furthermore, counties have a longer duration to legalize fireworks if nearby counties have already adopted. State dependence resulting from a first-mover advantage contributes to the policy divergence of regulatory policies.
Databáze: OpenAIRE