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Sizing Up State Policy Innovation Research

Datos Bibliográficos

ID6329005
AutoresFrances Stokes Berry, Francis Berry (0000-0002-3355-3854, Florida State University, autor de correspondencia)
Año1994
Volumen22
Número3
Páginas442-456
Fecha de publicación1994-09-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPolicy Studies Journal (JOURNAL)
Identificadores de la revistaISSN: 0190-292X • E-ISSN: 1541-0072
EditorialWiley (PUBLISHER • GB)
DOI10.1111/j.1541-0072.1994.tb01480.x
OpenAlexW2049621450
IdiomaEN
Citas recibidas81
Referencias citadas18

In the literature on state policy innovation, there are three major explanations for what causes a government to adopt a new policy. One is the internal determinants model, which posits that the main factors leading a state to innovate are internal political, social and economic characteristics of the stale. The other two are diffusion models—the regional diffusion model, and the national interaction model—which see slate policy adoptions as emulations of earlier adoptions by other states. Each of the three models has been associated with a distinct strategy for empirical testing. The regional diffusion model has been tested with factor analysis, the national interaction model with time‐series regression, and the internal determinants model with cross‐sectional regression. In this paper, I explore the ability of these “single‐explanation” methodologies to detect the true innovation process underlying stale policy adoptions, by applying these methodologies to data generated from simulated innovation processes with known characteristics. I find that the methodologies often yield incorrect conclusions about the character of innovation. I conclude by presenting an agenda for refining a superior alternative methodology: the event history analysis approach to state policy innovation research introduced by Berry and Berry (1990

Business · Econometrics · Economic growth · Economic system · Economics · Government (linguistics · Innovation diffusion · Political science · Politics · Positive economics · Public economics · Public policy · State (computer science · Yield (engineering · Computer Science · Innovation Policy and RD · Policy Transfer and Learning · Sustainability and Climate Change Governance · Marketing

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Obras citantes distintas81
Citas por año2,7
Intervalo de citas1996 - 2026 (31)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 81
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