Policy Networks as Collective Action

An important contribution to the policy sciences, and to interorganizational research in particular, has been the introduction of the so-called policy network approach. Despite the fact that this approach has produced a multitude of concepts, it still lacks a theoretical scaffold. In this article it is argued that simply to refer to something called "network theory" is an unsatisfactory solution. It is suggested that one way of advancing the policy network approach is to apply collective action theory and explicitly regard different empirical appearances of network concepts as expressions of collective action. Six tentative building blocks of such a theory are suggested. It is further argued that the policy network approach would benefit from incorporation into a broader analytical framework such as the Institutional Analysis and Development framework. Finally, it is concluded that such an incorporation would advance our ability to understand the processes of policymaking and thus to fulfill one of the old commitments of policy analysis, namely to contribute to the refinement of policymaking processes in society.     

Collaborating with the Machines: A Hybrid Method for Classifying Policy Documents

Governments produce vast and growing quantities of freely available text: laws, rules, budgets, press releases, and so forth. This information flood is facilitating important, growing research programs in policy and public administration. However, tightening research budgets and the information's vast scale forces political science and public policy to aspire to do more with less. Meeting this challenge means applied researchers must innovate. This article makes two contributions for practical text coding—the process of sorting government text into researcher-defined coding schemes. First, we propose a method of combining human coding with automated computer classification for large data sets. Second, we present a well-known algorithm for automated text classification, the Naïve Bayes classifier, and provide software for working with it. We argue and provide evidence that this method can help applied researchers using human coders to get more from their research budgets, and we demonstrate the method using classical examples from the study of policy agendas.     

Regional Policy as Interaction between National Institutions and Regional Science

As a reaction to emerging regional imbalances, discussions regarding growth centre policy began in the Nordic countries during the latter part of the 1960s. At this time, a working group within the European Free Trade Association (EFTA) provided a policy option based on international theories from urban and agglomeration economics. Within the actual growth centre policies in Norway, Sweden and Finland, central elements from the EFTA concept related to the scale of the centres were, however, not adopted. Instead, growth centres were located to places that had a smaller population than the 30,000 inhabitants recommended by the EFTA concept. This outcome was related to the fact that the EFTA concept was adapted to the existing regional policy institutions. As these institutions were egalitarian and redistributive in character, the Nordic growth centre policies favoured a more dispersed settlement structure than suggested by the EFTA concept.     

Political Attention and Public Spending in the United States

According to Jones and Baumgartner's disproportionate information processing model, it is crucial to study fluctuations in congressional attention over time and across policy issues to understand congressional policy decisions including decisions on the federal budget. Drawing on classical ideas about reelection-oriented behavior, on the one hand, and the blocking power of federal agencies, on the other, this paper extends and specifies the attention-spending predictions of the disproportionate information processing model. Specifically, spending effects of congressional attention shifts are argued to be crucially dependent on both the spending preferences expressed by the U.S. public and on pressure from spending advocates. An empirical evaluation of the association between changes in congressional attention measures and federal budget appropriations across 12 spending domains and 33 years (1970–2003) supports this conditional hypothesis derived from the extended disproportionate information processing model.     

The Performance of Policy Networks: The Relation between Network Structure and Network Performance

The importance of policy networks has long been emphasized within the field of policy analysis. However, few attempts have been made to investigate the explanatory power of policy networks using the tools and theoretical concepts provided by social network analysis (SNA). This paper aims to address this need by determining if a relationship exists between the structural features of policy networks, their organizing capacities, and their performance. A comparative case study of four networks within the higher education policy sector confirms the assumption related to the existence of such a relation. It is proposed that an efficient and innovative policy network consists of a heterogeneous set of actors that are centrally and densely integrated. Furthermore, while the level of network heterogeneity is positively related to the function of resource mobilization in the process of policymaking, the level of centralized integration promotes the function of prioritizing. These findings are believed to contribute to our understanding of policymaking in contemporary society. The current paper indicates that a significant explanatory power exists in the concept of policy networks and that SNA is one way of advancing its possibilities.     

The Mesolithic of Southern Scandinavia

The Mesolithic of Southern Scandinavia, with comprises Denmark and Southern Sweden, has been an attractive area for research for several reasons, including the good preservation conditions at many sites. Most of the work has been concentrated on the southwestern part of Southern Scandinavia, but results from more recent investigations mean that other areas can also be analyzed. New finds in the last few years have given us a greater understanding of the Late Paleolithic settlement and of its relation of the Mesolithic. For the Early Mesolithic (10,000–8000 B.P.), interest has focused primarily on the small inland bog sites in the southern part of the area, where the coast has since been submerged. Farther north, where the land has been uplifted, evidence of coastal settlement has been documented. The Late Mesolithic (8000–6000 B.P.) is known chiefly on the basis of its large coastal settlements. In this period, there is also a larger and more varied collection of finds, which makes it possible to discern clear regional differences. There has also been considerable research on the transition from Mesolithic to Neolithic.