Determinants of Policy Diffusion in Brazil and the U.S.

This paper comparatively examines two highly decentralized federations, namely Brazil and the United States (U.S.) The study uses a combination of methods to determine which mechanisms explain the spread of metropolitan regions (Brazil) and the growth of the statewide smoking ban (U.S.) among state...

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Main Author: Denilson Bandeira Coêlho
Format: Article
Language:English
Published: OpenEdition 2021-10-01
Series:International Review of Public Policy
Subjects:
Online Access:https://journals.openedition.org/irpp/2254
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author Denilson Bandeira Coêlho
author_facet Denilson Bandeira Coêlho
author_sort Denilson Bandeira Coêlho
collection DOAJ
description This paper comparatively examines two highly decentralized federations, namely Brazil and the United States (U.S.) The study uses a combination of methods to determine which mechanisms explain the spread of metropolitan regions (Brazil) and the growth of the statewide smoking ban (U.S.) among state governments over the 1990s and 2000s. It uses Weibull distribution and Cox regression to measure the time until events occur and to estimate the influence of a variety of factors on the likelihood of two policies being adopted. I find evidence of electoral-year drive policy diffusion in both countries. In Brazil, a key structural variable associated with internal determinants stimulated metropolitan policy adoptions. In the U.S., structural factors – linked with citizen ideology – enhance the probability of enacting smoke-free laws.
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institution Kabale University
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series International Review of Public Policy
spelling doaj-art-e1caf7edbf3445108d981f940109d3cd2025-01-09T16:25:59ZengOpenEditionInternational Review of Public Policy2679-38732706-62742021-10-01319421510.4000/irpp.2254Determinants of Policy Diffusion in Brazil and the U.S.Denilson Bandeira CoêlhoThis paper comparatively examines two highly decentralized federations, namely Brazil and the United States (U.S.) The study uses a combination of methods to determine which mechanisms explain the spread of metropolitan regions (Brazil) and the growth of the statewide smoking ban (U.S.) among state governments over the 1990s and 2000s. It uses Weibull distribution and Cox regression to measure the time until events occur and to estimate the influence of a variety of factors on the likelihood of two policies being adopted. I find evidence of electoral-year drive policy diffusion in both countries. In Brazil, a key structural variable associated with internal determinants stimulated metropolitan policy adoptions. In the U.S., structural factors – linked with citizen ideology – enhance the probability of enacting smoke-free laws.https://journals.openedition.org/irpp/2254policy diffusionpolitical behaviorsurvival analysismetropolitan regionanti-smoking law
spellingShingle Denilson Bandeira Coêlho
Determinants of Policy Diffusion in Brazil and the U.S.
International Review of Public Policy
policy diffusion
political behavior
survival analysis
metropolitan region
anti-smoking law
title Determinants of Policy Diffusion in Brazil and the U.S.
title_full Determinants of Policy Diffusion in Brazil and the U.S.
title_fullStr Determinants of Policy Diffusion in Brazil and the U.S.
title_full_unstemmed Determinants of Policy Diffusion in Brazil and the U.S.
title_short Determinants of Policy Diffusion in Brazil and the U.S.
title_sort determinants of policy diffusion in brazil and the u s
topic policy diffusion
political behavior
survival analysis
metropolitan region
anti-smoking law
url https://journals.openedition.org/irpp/2254
work_keys_str_mv AT denilsonbandeiracoelho determinantsofpolicydiffusioninbrazilandtheus