Angels versus Devils: The Portrayal of Characters in the Gun Policy Debate

This research examines the role of the devil shift and angel shift in interest group rhetoric using the case of gun policy. The Narrative Policy Framework (NPF) suggests that the devil shift—whereby political actors characterize their opponents as more malicious and powerful than they actually are—is common in intractable policy debates. Through an analysis of e‐mails and press releases by two gun control organizations and two gun rights organizations, I examine how groups portray themselves and their opponents. I identify two dimensions relevant to these portrayals: (1) whether a character in a policy narrative is portrayed as good or evil, and (2) whether a character is portrayed as strong or weak. The findings indicate that while the devil shift is present, the angel shift—that is, the glorification of one's own coalition—is more common in gun policy groups' communications. Two alternative characterizations, which I call the angel in distress and the devil diminished, are also present. The use of these character portrayals varies significantly across political coalitions and as a function of communication purposes. The results suggest a need to reconceptualize character portrayals to better understand how they operate as narrative strategies in the NPF.     

Advocacy Group Messaging on Social Media: Using the Narrative Policy Framework to Study Twitter Messages about Nuclear Energy Policy in the United States

Increasingly, policy scholars are using the Narrative Policy Framework (NPF) to systematically study the narrative elements and strategies that policy actors and groups use to advance their agendas. The majority of these studies analyze reports, documents, and websites published by the actors and groups that are most active in the policy subsystem. Though useful, these “public consumption documents” can be difficult to find and relatively static. In this article, we suggest that the constant flow of messages and content that competing actors and groups publish on social media may provide a solution to this problem. To test this proposition, we use the NPF to analyze messages published on Twitter by competing advocacy groups in the U.S. nuclear energy policy subsystem from January 2014 to May 2014 (n = 703). We find that both groups use Twitter to disseminate messages that contain the basic elements of policy narratives. Moreover, the narratives they use include strategies that are consistent with their position in the subsystem. These findings demonstrate the utility of the NPF for research on social media and, more importantly, validate the use of Twitter data in future work on the NPF.     

Policy Narratives and Policy Processes

The Advocacy Coalition Framework (ACF) has influenced a generation of policy scholars with its emphasis on causal drivers, testable hypotheses, and falsification. Until recently, the role of policy narratives has been largely neglected in ACF literature partially because much of that work has operated outside of traditional social science principles, such as falsification. Yet emerging literature under the rubric of Narrative Policy Framework (NPF) demonstrates how the role of policy narratives in policy processes is studied using the same rigorous social science standards initially set forth by Paul A. Sabatier. The NPF identifies theories specifying narrative elements and strategies that are likely useful to ACF researchers as classes of variables that have yet to be integrated. Examining this proposition, we provide seven hypotheses related to critical ACF concepts including advocacy coalitions and policy beliefs, policy learning, public opinion, and strategy. Our goal is to stay within the scientific, theoretical, and methodological tradition of the ACF and show how NPF's empirical, hypotheses, and causal driven work on policy narratives identifies theories applicable to ACF research while also offering an independent framework capable of explaining the policy process through the power of policy narratives. In doing so, we believe both ACF and NPF scholarship can contribute to the advancement of our understanding of the policy process.     

An Angel on the Wind: How Heroic Policy Narratives Shape Policy Realities

Narrative Policy Framework (NPF) is a new and maturing theory of the policy process that takes a systematic, scientific approach to understanding the social construction of policy realities. As such, NPF serves as a bridge between postpositivists, who assert that public policymaking is contextualized through narratives and social construction, and positivists, who contend that legitimacy is grounded in falsifiable claims. The central questions of NPF are: What is the empirical role of policy narratives in the policy process and do policy narratives influence policy outcomes? First, the contributions of NPF scholarship at three levels of analysis—micro, meso, and macro—are examined. Next, necessary conditions of a policy narrative are specified, accompanied by detailed discussion of the narrative components: narrative elements, narrative strategies, and policy beliefs. Finally, an empirical illustration of NPF—a case study of Cape Wind's proposal to install wind turbines off Nantucket—is presented. Although intercoalitional differences have long been studied in the NPF scholarship, this is the first study to examine intracoalitional cohesion or the extent to which a coalition tells the same story across narrative elements, narrative strategies, and policy beliefs. NPF is a new approach to the study of the policy process that offers empirical pathways to better speculating the role of narrative in the policy process.     

The Intersection of Narrative Policy Analysis and Policy Change Theory

Narrative policy analysis and policy change theory rarely intersect in the literature. This research proposes an integration of these approaches through an empirical analysis of the narrative political strategies of two interest groups involved in policy debate and change over an eight‐year period in the Greater Yellowstone Area. Three research questions are explored: (i) Is it possible to reconcile these seemingly disparate approaches? (ii) Do policy narrative strategies explain how interest groups expand or contain policy issues despite divergent core policy beliefs? (3) How does this new method of analysis add to the literature? One hundred and five documents from the Greater Yellowstone Coalition and the Blue Ribbon Coalition were content analyzed for policy narrative strategies: identification of winners and losers, diffusion or concentration of costs and benefits, and use of condensation symbols, policy surrogates, and science. Five of seven hypotheses were confirmed while controlling for presidential administration and technical expertise. The results indicate that interest groups do use distinctive narrative strategies in the turbulent policy environment.     

Policy Coherence and Component-Driven Policymaking: Arctic Policy in Canada and the United States

This research extends theorizing about the implications of political environments to the content of policy areas. We consider the case of Arctic policy in Canada and the United States as an example of what we label as component-driven policymaking. We show how the lack of a clear constituency and the lack of a stable policy subsystem for the Arctic create a policy environment for which the politics of particular issues dominate Arctic policymaking. The result is a policy space labeled Arctic policy that lacks policy coherence. We suggest that similar features of component-based policymaking help explain limited policy coherence for a variety of policy areas such as policies for children, families, rural areas, urban areas, and women in the United States.     

Framing Food Policy: The Case of Raw Milk

Policies governing the sale of raw milk—making the sales of raw milk more permissive—are gaining traction on the legislative agendas of dozens of states. This paper examines one contributor to this movement on the policy agenda: the role of competitive framing. By combining theoretical approaches from policy studies and political psychology theories of competitive framing, we offer evidence supporting the recent relative success of raw milk activists in several state legislatures. Using an Internet survey‐based experiment with a sample size of 1,630 respondents from seven Midwestern states, we show that a frame emphasizing consumer choice and food freedom is more effective than the frame that dominates among the policy establishment, that emphasizing public health risks. This is true in both one‐sided and competitive framing contexts. We further show that those previously aware of this issue were less influenced by the public health frame than those naïve to the issue. Our results suggest that the pro‐raw milk movement may be making strides on the state policy agenda because their frames are more resonant among the public. We also highlight the advantages gained from considering psychological and policy processes simultaneously to understand policy change.     

The Influence of Organizations and Institutions on Wetland Policy Stability: The Rapanos Case

This paper uses a case study of wetland regulation in the United States to develop elements of a theory about institutional stability and change in policy processes involving large public organizations. This theoretical approach draws on the Institutional Analysis and Development framework to understand events that are not well explained by other policy theories. Our approach accounts for the theoretically unexpected outcomes of the U.S. Supreme Court's ruling in Rapanos v. United States, which stood to change the way the U.S. Army Corps of Engineers and the U.S. Environmental Protection Agency regulate the filling of wetlands. We propose a typology of institutional types that operate inside public organizations, and use process tracing to show how tacit institutions, those created informally within public organizations, can play key roles in determining the outcomes of policy processes. In the Rapanos case, informal coordination mechanisms enabled regulators and members of the regulated community to preserve substantially the pre‐ruling status quo. The key role of these microlevel interactions in shaping the macrolevel behaviors of public organizations underscores the importance of further research investigating how, in similar cases, different behavioral mechanisms interact in often complex and unexpected ways to determine the outcomes of policy processes.     

The Policy Sciences of Social Media

Twitter, Facebook, and other social media are increasingly touted as platforms not merely for networks of friends and for private diversion, but as vehicles that allow ordinary people to enter and influence the many arenas of public life. On the surface, the disparate and shapeless population of “i‐reporters,” policy “tweeters,” and anonymous news web site “commentators” would appear to challenge the comparatively well‐defined cast of professional diplomats, journalists, and propagandists that Harold D. Lasswell identified as policy‐oriented communicators. However, to illuminate the roles and impacts of social media in politics and policymaking, insights from Lasswell's “science of communication” must be embedded in Lasswell's broader lessons on value assets and outcomes. A closer look at the so‐called democratizing functions of social media in politics reveals the influence of powerful intermediaries who filter and shape electronic communications. Lasswell's insights on the likelihood of increased collaboration among political elites and skilled, “modernizing intellectuals” anticipates contemporary instances of state actors who recruit skilled creators and users of social media—collaborations that may or may not advance experiments in democracy. Lasswell's decision process concept is deployed to discover social media's strengths and weaknesses for the practicing policy scientist.     

Network Structures within Policy Processes: Coalitions,Power, and Brokerage in Swiss Climate Policy

The Advocacy Coalition Framework (ACF) is a prominent approach to investigate the formation of coalition and their impact on policy outputs. Although the ACF combines both the network structures of a political process with actors' values and belief systems, most empirical tests focus mainly on beliefs rather than network structures. Considering a relational approach makes particular sense when one wants to investigate the structural patterns of a subsystem and to assess coalition formation and maintenance. The author therefore proceeds by taking two steps to study the existence of coalitions, power relations, and policy preferences: first, social network analysis frames the empirical study of network structures, based on the assumption that common beliefs are reflected in relations among actors involved in policy processes. Second, using a sophisticated mathematical algorithm, the multicriteria analysis furnishes a systematic evaluation of the elite's belief system. This methodological combination constitutes the added value of this research and allows for testing to establish if common beliefs are reflected in network structures.     

The Politics of Crisis Policymaking: Chernobyl and Swedish Nuclear Energy Policy

Public policy scholars often accentuate the key role of crises in explaining policy change; however, much empirical work still remains to be done in order to explain crisis‐induced policy outcomes. This article explores the prediction of the Advocacy Coalition Framework that stable coalitions and impediments to learning reduce the likelihood for policy change after a crisis. Strategic action is emphasized as a supplementary variable focusing on the role of political motivations in post‐crisis policymaking. Sweden's decision not to accelerate the nuclear power phaseout following the 1986 Chernobyl disaster provides a case study to assess the utility of these explanations. Findings corroborate theoretical expectations about stable minority coalitions, cast doubts over the presumed rigidity of policy core beliefs, and emphasize strategic action and cognitive heuristics as important motivations for policy choice. The article concludes by outlining three sector‐specific variables (ideological salience, level of conflict, and previous crisis experiences) that add to the explanation of crisis‐induced policy outcomes.     

The Effects of Risk,Beliefs, and Trust in Education Policy Networks: The Case of Autism and Special Education

There are multiple theoretical accounts of how actors address problems of collective action in policy networks, but the two most prominent hypotheses are the risk and belief homophily hypotheses. The risk hypothesis claims that relational structures (e.g., bridging, bonding) depend on the benefits actors receive from uncooperative behavior, while the belief homophily hypothesis claims that relational ties form around shared policy beliefs. This study incorporates the case of autism and special education policy, a subsystem best characterized by Berardo and Scholz's (2010) conceptualization of a low-risk environment, to test hypotheses about the influence of risk, policy beliefs, and trust on the formation on relational ties in education policy networks. Utilizing data from a 2016 network survey of public and private special education stakeholders in Virginia, results from exponential random graph models provide support for the effects of bridging structures, beliefs related to the medical model of disability, and social trust on strong (collaboration) and weak (information/advice) relational ties in policy networks. The findings reinforce the importance of using policy networks to understand how actors build connections across multiple jurisdictions and policy sectors to mitigate problems of coordination in policy decision making and implementation.     

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 National Flood Insurance Program: A Case Study in Policy Failure,Reform, and Retrenchment

In this paper, I present an intensive case study of the development of the National Flood Insurance Program to advance two key arguments. First, the conventional model of adoption of general interest reform neglects an important aspect of political context: whether the relevant policy domain is one with or without “publics.” I argue that in domains without publics the politics of reform will differ substantially from the accepted model. Second, I argue that the type of learning necessary to address a given policy failure matters in reform politics. Instrumental learning is necessary but may not be sufficient for successful general interest reforms. When the social construction of a policy failure is such that many people misconceive of the fundamental purpose of a policy, social learning must take place before instrumental learning can be effective.     

The Sensitivity of Country Ranks to Index Construction and Aggregation Choice: The Case of Immigration Policy

How sensitive are country ranks to the aggregation function used in index construction? This paper tests whether different aggregation functions come to different results in regard to the ranking of countries. Indices within the field of immigration and integration policy are analyzed, yet, the results pertain to index building across the social sciences. The paper discusses three aggregation methods: the arithmetic mean, the geometric mean, and a noncompensatory/non‐linear aggregation function based on the Condorcet method. In the empirical part, these three aggregation functions are applied to the family indicators for the year 2010 of the Immigration Policies in Comparison (IMPIC) dataset, a new dataset which measures immigration policies’ restrictiveness, as well as to the eight policy strands of the Migrant Integration Policy Index for the year 2014. Results show that the methods react differently to extreme values and thus result in different rank orders in the middle range. In the politicized field of immigration and integration policies, country ranks play a crucial role and this is shown to have profound real‐world implications. The paper thus urges researchers to be reflective of the assumptions of different aggregation functions, as these lead to different results.     

Employers as Mediating Institutions for Public Policy: The Case of Commute Options Programs

Scholars have recently noted the role that employers can play as “mediating institutions” for public policy. Mediating institutions connect the private lives of individuals with public policy concerns by communicating societal norms to members and providing social contexts that encourage a commitment to these norms. Despite the potential importance of employers as mediating institutions for public policy, little scholarly attention has been devoted to employer mediation behavior. Accordingly, this study examines two research questions. What factors influence an employer's willingness to mediate policy problems? And how effective are employers as mediating institutions? The mediation behaviors of interest relate to employer efforts to mitigate traffic congestion and air quality problems by enabling employee “commute options,” which are alternatives to single‐occupancy vehicle commuting to work. Drawing on theories of organization behavior, the study hypothesizes that self‐interest, organizational control, and association membership will affect willingness to provide commute options. The study also hypothesizes that employers providing commute options will have lower percentages of employees that drive to work alone. Both sets of hypotheses are supported by statistical analyses of data from a cross‐sectional mail survey of metropolitan Atlanta organizations.     

Shifting Resources and Venues Producing Policy Change in Contested Subsystems: A Case Study of Swedish Signals Intelligence Policy

In the last decade and across countries, changes in national intelligence policies have spurred widespread political opposition and public protest. Instances of intelligence policy change warrant close academic attention to cast light on the dynamics of policymaking in contested policy areas. In an effort to contribute to further development of a theory of policy change within the Advocacy Coalition Framework (ACF), this article analyzes the adoption of legislation in Sweden to expand the mandate for signals intelligence gathering. Three explanatory variables are derived from the ACF to explain policy change in this case: shifts in advocacy coalition membership, distribution of coalition resources, and access to policy venues. Whereas shifts in coalition membership were unrelated to policy change in this case, the case‐study lends partial support to the role of resource distribution and policy venues. To promote the progress of an ACF theory of policy change, the study concludes by drawing two theoretical implications: (i) introducing hierarchical classification of coalition resources and (ii) identification of revised policy narratives and exploitative policy entrepreneurship as causal mechanisms linking external shocks to venue shifts and policy change.     

The Role of Pilot Projects in Urban Climate Change Policy Innovation

Cities are taking a leadership role in addressing global climate change and reducing greenhouse gas (GHG) emissions, but policy innovations are needed to help cities move from goals to outcomes. Pilot projects are one means by which cities are experimenting with new ways of governing and financing climate change mitigation. In this paper, we develop a framework for understanding the role of pilot projects in urban policy innovation: their emergence and rationale, and the means by which they ultimately scale up and out to reduce GHG emissions. We use this framework to evaluate a pilot project for retrofitting social housing buildings in Toronto. We find the initial pilot project helped address the challenges of pursuing deep retrofits of social housing. Scaling these lessons up to the city level required overcoming challenges to financing and coordinating a larger project; scaling out to the provincial level revealed institutional and political obstacles to pursuing the co-benefits of deep building retrofits in social housing. Bridging agents play an important role in both scaling processes. The analysis reveals the additive nature of urban policy innovation and the dynamic interplay of change agents and institutional and political context in innovation processes.     

实践中的转变：抗日根据地减租减息运动中的减息政策研究

在抗日根据地的减租减息运动中,减息政策的变化受多种因素的影响,但借贷利率的限制无疑是其中最重要的因素。由于规定的利率过低,造成农村金融借贷停滞,给农民的生产和生活造成很大困难,放开对借贷利率的限制成为唯一的选择。减息政策经历了从严格的利率限制到完全放开的转变,这是在实践中根据实际情况作出的政策改变,但从实际效果来看,放开对借贷利率的限制并没有起到预期的恢复农村借贷的效果,借贷困难的局面一直持续下去。     

国民经济恢复时期北京的失业知识分子救济政策及其成效

国民经济恢复时期,面对失业和人才需求关系的矛盾,城市失业知识分子受到党和政府的高度关注。北京市的失业知识分子虽人数不多,但呈现出一定程度的复杂性。为此,北京市根据党和国家的政策,从首都社会秩序的稳定和首都建设的人才需求出发,在较短的时间内,有计划有步骤地对失业知识分子进行了必要的社会救济,达到了预期的目标。同时,实际操作中也遇到了一些不容回避的问题。