Evolutionary Government: Origins and Consequences of Structural Change in Govern...
Why do government structures change? Traditionally, the answer refers to political parties exercising control over a state bureaucracy. Yet government structures have been changing ever since they emerged alongside the modern stat...
Why do government structures change? Traditionally, the answer refers to political parties exercising control over a state bureaucracy. Yet government structures have been changing ever since they emerged alongside the modern state and thus already before parties existed. The recent decline of party government worldwide also begs the question whether other actors and mechanisms matter that have been underestimated so far. Meanwhile, it became a truism that structure shapes policy, but existing research focuses on other effects of structural change in government, such as democratic and economic outcomes or cabinet governance. We lack systematic analyses of how structural change affects government policy.
To address these gaps, STATE-DNA studies the change of units inside ministries and agencies as the ‘building blocks’ of the modern state. It submits a novel theory of evolutionary government that regards structural change in government as an interplay between a unit’s structural features and its organizational and environmental environment. This notion of multiple levels allows to study more than ‘party-centric’ causes of change and, for the first time, to analyze the effects on government policy explicitly, as evolutionary consequences managed by distinct units.
STATE-DNA breaks new ground by applying genetic measures to assess structural change in government, establishing the most comprehensive data set, which begins with the ‘primordial soup’ of the early 19th century when government structures fragmented (~150,000 units, six countries, 1815–2025). For the empirical analyses, existing (historical) data on legislative activity, organizational, and environmental features will be used and extended. STATE-DNA will exploit methodological advancements in biology, such as data assimilation techniques, to analyze the origins and consequences of structural change in government and to forecast such change, thereby injecting a predictive notion into government studies.ver más
02-11-2024:
Generación Fotovolt...
Se ha cerrado la línea de ayuda pública: Subvenciones destinadas al fomento de la generación fotovoltaica en espacios antropizados en Canarias, 2024
01-11-2024:
ENESA
En las últimas 48 horas el Organismo ENESA ha otorgado 6 concesiones
01-11-2024:
FEGA
En las últimas 48 horas el Organismo FEGA ha otorgado 1667 concesiones
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.