Add to ORKGA dialectical model of policy networks is deployed to analyse policy change in the area of GM crops in the UK. The model uses an analysis of the interaction between agents and structure, network and context and network and outcomes to understand and explain how policy change has occurred. A key advantage of the model is that it increases understanding of network transformation, explanation of which has been an alleged weakness of the policy network approach. However, this case study does throw up some weaknesses with the model, including the tendency of the model to emphasize the role of 'insider' agents and downplay the role of 'outsiders' in the policy process
Despite most having developed under the umbrella of the Common Agricultural Policy (CAP), national-l...
In structured policy arenas, institutional rules, norms and established functional processes combine...
Loosely integrated and incomplete policy networks have been neglected in the literature. They are im...
This article argues that an ideational variant of David Marsh and Martin Smith's (2000) ‘dialectical...
This paper documents the early evolution of UK organic food and farming policy networks and locates ...
This paper takes a comparfative case-study approach, located within the literature on policy network...
This paper presents a recent review of the policy networks literature, both empirical and theoretica...
This thesis explores the opportunities to build a structural policy network model that is rooted in ...
Policy is not made in the electoral arena or in the gladiatorial confrontations of Parliament, but i...
As policy making has increasingly been recognized to involve interest groups, analytical frameworks ...
For models to have an impact on policy-making, they need to be used. Exploring the relationships bet...
This paper attempts to identify if Network Policy Analysis provides an adequate understanding of sta...
Policy network analysis (PNA) and the advocacy coalition framework (ACF) are relatively recent addit...
From modest origins as specific types of state-interest group relations, policy network approaches h...
We argue that the often-proclaimed disregard of ex-ante assessments of the provision of ecosystem go...
Despite most having developed under the umbrella of the Common Agricultural Policy (CAP), national-l...
In structured policy arenas, institutional rules, norms and established functional processes combine...
Loosely integrated and incomplete policy networks have been neglected in the literature. They are im...
This article argues that an ideational variant of David Marsh and Martin Smith's (2000) ‘dialectical...
This paper documents the early evolution of UK organic food and farming policy networks and locates ...
This paper takes a comparfative case-study approach, located within the literature on policy network...
This paper presents a recent review of the policy networks literature, both empirical and theoretica...
This thesis explores the opportunities to build a structural policy network model that is rooted in ...
Policy is not made in the electoral arena or in the gladiatorial confrontations of Parliament, but i...
As policy making has increasingly been recognized to involve interest groups, analytical frameworks ...
For models to have an impact on policy-making, they need to be used. Exploring the relationships bet...
This paper attempts to identify if Network Policy Analysis provides an adequate understanding of sta...
Policy network analysis (PNA) and the advocacy coalition framework (ACF) are relatively recent addit...
From modest origins as specific types of state-interest group relations, policy network approaches h...
We argue that the often-proclaimed disregard of ex-ante assessments of the provision of ecosystem go...
Despite most having developed under the umbrella of the Common Agricultural Policy (CAP), national-l...
In structured policy arenas, institutional rules, norms and established functional processes combine...
Loosely integrated and incomplete policy networks have been neglected in the literature. They are im...