Analyzing Policy Networks Using Valued Exponential Random Graph Models: Do Government‐Sponsored Collaborative Groups Enhance Organizational Networks?

This paper examines collaborative management groups from the perspective of policymakers seeking to increase coordination within a policy network. While governments often support collaborative groups as a tool to address perceived network failures such as a lack of coordination, the net impact groups have is unclear. I use valued exponential random graph models (ERGMs) to model relationships of varying strength among a regional network of organizations involved in 57 collaborative groups. This provides a unique opportunity to study the interplay between numerous groups and organizations within a large‐scale network. Valued ERGMs are a recently developed extension of standard ERGMs that model valued instead of binary ties; thus, this paper also makes a methodological contribution to the policy literature. Findings suggest that participation in collaborative groups does motivate coordination and cooperation amongst individual network organizations; however, this effect is strongest for: (i) organizations that are not already members of another group and (ii) organizations that do not have a preexisting tie. These results support a transaction‐cost–based perspective of how government‐sponsored collaborative groups can influence network coordination; further, they also provide an empirical example of the Ecology of Games, in which multiple collaborative institutions have interactive effects on one another within a policy network.     

Micro‐Level Interpretation of Exponential Random Graph Models with Application to Estuary Networks

The exponential random graph model (ERGM) is an increasingly popular method for the statistical analysis of networks that can be used to flexibly analyze the processes by which policy actors organize into a network. Often times, interpretation of ERGM results is conducted at the network level, such that effects are related to overall frequencies of network structures (e.g., the number of closed triangles in a network). This limits the utility of the ERGM because there is often interest, particularly in political and policy sciences, in network dynamics at the actor or relationship levels. Micro‐level interpretation of the ERGM has been employed in varied applications in sociology and statistics. We present a comprehensive framework for interpretation of the ERGM at all levels of analysis, which casts network formation as block‐wise updating of a network. These blocks can represent, for example, each potential link, each dyad, the out‐ or in‐going ties of each actor, or the entire network. We contrast this interpretive framework with the stochastic actor‐based model (SABM) of network dynamics. We present the theoretical differences between the ERGM and the SABM and introduce an approach to comparing the models when theory is not sufficiently strong to make the selection a priori. The alternative models we discuss and the interpretation methods we propose are illustrated on previously published data on estuary policy and governance networks.     

Baseline Models for Two‐Mode Social Network Data

Baseline models have been used in the analysis of social networks as a way to understand how empirical networks differ from “random” ones. For the purposes of social network analysis, a “random” network is one chosen—at random—from a population of possible graphs derived from a given generating function. Although these principled hypothesis tests have a long history, many of their properties and extensions to multiple data structures—here, specifically two‐mode data—have been overlooked. This article focused on applications of different baseline models to two data sets: donations and voting of the 111th U.S. Congress, and organizations involved in forums on watershed policy in San Francisco, USA. Tests using each data set, but with different baseline reference distributions, will illustrate the range of possible questions baseline models can address and the differences between them. The ability to apply different models and generate a constellation of results provides a deeper understanding of the structure of the system.     

To binarize or not to binarize: relational data and the construction of archaeological networks

Over the last several years, network methods and models from the social and physical sciences have gained considerable popularity in archaeology. Many of the most common network methods begin with the creation of binary networks where links among some set of actors are defined as either present or absent. In most archaeological cases, however, the presence or absence of a specific kind of relationship between actors is not straightforward as we must rely on material proxies for assessing connections. A common approach in recent studies has been to define some threshold for the presence of a tie by partitioning continuous relational data among sites (e.g., artifact frequency or similarity data). In this article, using an example from the U.S. Southwest, we present a sensitivity analysis focused on the potential effects of defining binary networks from continuous relational data. We show that many key network properties that are often afforded social interpretations are fundamentally influenced by the assumptions used to define connections. We suggest that, although network graphs provide powerful visualizations of network data, methods for creating and analyzing weighted (non-binarized) networks often provide a better characterization of specific network properties.     

A Review of the Environmental Policy Literature from 2014 to 2017 with a Closer Look at the Energy Justice Field

This review article documents and analyzes trends within the environmental policy literature published between 2014 and 2017. We find that environmental policy scholarship has recently shifted its focus from more traditional topics, such as watershed and ecosystem management, to other modern issues, such as climate change and energy. The environmental policy literature has increased in complexity and become more interdisciplinary in nature, which we illustrate with a discussion of the energy justice literature. The methodological approaches used by environmental policy scholars have also become increasingly diverse, with a notable uptick in statistical and modeling approaches. We find that some topics, such as policy failure, gender issues, and energy welfare policies are under‐explored, and certain regions within the world, such as developing countries, are less frequently studied. We encourage scholars to consider these gaps in the literature when developing future research.     

Testing Policy Theory with Statistical Models of Networks

This article presents a conceptual framework for clarifying the network hypotheses embedded in policy theories and how they relate to macrolevel political institutions and microlevel political behavior. We then describe the role of statistical models of networks for testing these hypotheses, including the problem of operationalizing theoretical concepts with the parameters of statistical models. Examples from existing theories of the policy process and empirical research are provided and potential extensions are discussed.     

The Role of an Area-oriented Approach in Achieving Environmental Policy Integration in the Netherlands,and its Applicability in Bulgaria

An integrated approach to environmental policy and urban spatial planning has not yet been adopted by many local administrations in Europe. However, such integration is likely to provide a more streamlined planning process that incorporates environmental measures in the physical development of urban areas. In this paper, we argue that among many local governments there is already a growing wish to apply environmental policy integration (EPI) principles in spatial planning in an effort to achieve better quality of life in the cities and to preserve natural resources. Within Europe, most attempts to develop EPI approaches can be found in western countries, while efforts to find integrated approaches to the urban environment and spatial planning in Eastern Europe are in their infancy. The main reason for this is that most of the post-communist countries are still addressing the challenge of reconstructing their political, social, and economic systems. In this research, we analyse and compare policy practices for EPI in urban planning in the Netherlands and Bulgaria. We first discuss the Dutch area-oriented policy approach, which has gained popularity during the last decade as a means of integrating environmental qualities in urban land use plans. We then go on to analyse the effectiveness of specific area-oriented methods developed and applied in Rotterdam, and define their applicability in the planning practice of the local authorities of the city of Burgas in Bulgaria. The main conclusion of the study is that the degree of effectiveness of an area-oriented policy is dependent on the impact of specific success factors. Despite the differences between Rotterdam and Burgas in terms of the presence of these success factors, we assert that the area-oriented policy approach applied in Rotterdam can be transferable, and can be adapted to the specific local circumstances in Burgas and used as an instrument for integrating EPI into urban land use planning.     

Social Networks and Policy Entrepreneurship: How Relationships Shape Municipal Decision Making about High‐Volume Hydraulic Fracturing

Well‐resourced and well‐connected individuals, or “policy entrepreneurs,” often play an important role in advocating and securing the adoption of policies. There is a striking lack of inquiry into the ways that social networks shape the ability of these actors to achieve their aims, including the ways in which network ties may channel policy conflict. To address these gaps, we analyze data from an original survey and an original database of policies to assess the success of policy entrepreneurs (PEs) active in a highly contentious arena: municipal policymaking concerning high‐volume hydraulic fracturing (HVHF) in New York. We use text‐mining to collect social network data from local newspaper archives, then use those data to construct municipal HVHF policy networks. Municipal anti‐HVHF PEs appear more successful when they operate in less cohesive networks, act as bridges to relative newcomers to the governance network, and have a larger number of network connections. Pro‐HVHF PEs appear more successful when they can forge high‐value connections to key decision makers. Policy entrepreneurs on both sides of the issue are more successful when they have a greater number of sympathetic coalition partners.     

当代国外城市模型研究的进展与未来

由于城市的复杂性、系统性和不可逆性,对城市问题的诊断与解决也必须运用系统化、模型化的方法。本文综述了1980年代以来,城市模型研究在基础理论、模型方法、技术和研究内容上新的发展。认为当代城市模型研究存在的突出问题是:仍然沿用工业化城市的经济社会规律,研究已经被信息化和全球化所深刻影响的城市;复杂性科学理论的综合性不够;GIS与其它模型的集成度有待提高。未来城市模型的研究应着重关注新的城市变化,综合运用复杂性科学的理论与方法,强化以GIS为平台的计算机技术。     

Measuring structural social capital in a cluster policy network: insights from the Basque Country

Cluster Associations (CAs) attempt to promote competitiveness through inter-firm collaboration, and are generally seen as drivers of social capital formation in the region. We map in this paper, by using Social Network Analysis, the cluster policy network of the Basque Country in 2013, which may be considered a proxy of the structural dimension of social capital in the region. Besides, we identify the central agents of this network and attempt to explain the reasons for their centrality and the roles that they play. We take the affiliation of an organization to at least two CAs as a first indicator of the overall pattern of connections within the cluster policy network. Later on, we filter it with data about the Boards of Directors of CAs, and the Basque Contact Points created to concur with the Seventh Framework Programme for Research launched by the European Commission. We contend that those organizations that are present in these three networks form a ‘small world’ that numerous studies have shown to be favourable for creative output, where they might play a dual role of gatekeepers of knowledge and innovation within and between clusters and drivers of bridging social capital formation in the Basque Country.     

Social Policy Perspectives on Economic Inequality in Wealthy Countries

This essay reviews the policy‐oriented literature on economic inequality in wealthy countries published from 2008 to 2018. We focus on this decade because it is a period bookended by both the beginnings of the Great Recession of 2008–2009 as well as the recovery. During this timeframe, attention to inequality by social policy scholars grew substantially, which we argue reflects an interest in both inequality trends as well as redistributive social policy. We observe in the literature sustained efforts to understand both the relationship between social policy and economic inequality, as well as determinants of changes to redistributive social policy. We also note substantial variation in research traditions, as well as opportunities to address substantive, methodological, and theoretical gaps. Our review summarizes the approaches and findings from the literature and discusses the implications of the findings for the study of economic inequality within the academic field of public policy.     

Imagining the social impact of museums and galleries: interrogating cultural policy through an empirical study

This paper aims to contribute to an understanding of how museums and galleries are regulated through an examination of the production and implementation of policy. It concentrates on those aspects that view them as vehicles through which social policy, such as that dealing with social inequality, can be implemented. To do this, it identifies the ways that motivations, behaviours and social outcomes of engagement are imagined by New Public Management-derived policy, and audit and evaluation tools. This is then examined using the results of a study of how visitors consume contemporary visual art galleries in north-east England, UK. The study concludes that the complex nature of engagement cannot be accommodated by policy in its present form and cannot be captured by existing audit and evaluation tools. It suggests that new approaches that acknowledge the roles visitors play in the construction of meanings need to be developed.     

Four models of the creative industries

What is the dynamic value of the creative industries from the economic perspective? This paper seeks to answer this question by proposing four models of the relationship between the creative industries and the whole economy, then examining the evidence for each. We find that growth models fit the data well, but not everywhere. We discuss the methodological and empirical basis for this finding and its implications for economic and cultural policy.     

Comparison of coordinate measurement precision of different landmark types on human crania using a 3D laser scanner and a 3D digitiser: Implications for applications of digital morphometrics

A total of 11 340 Cartesian coordinates of 42 homologous landmarks on five excavated human crania were recorded by three observers using a three‐dimensional (3D) digitiser and computer models created with a 3D laser scanner. The aim was to compare the errors of the coordinate data of landmarks of different types recorded with these two techniques. The results showed that digitiser‐based and 3D model‐based coordinate measurements had overall standard deviations of, respectively, ±0.79 and ±1.05 mm. However, the 3D digitiser yielded the most precise coordinate data for landmarks defined primarily by biological criteria (Type I landmarks), while the 3D laser scanner models yielded the most precise coordinate data for landmarks defined primarily by geometric criteria (Type III landmarks). These findings are likely to influence the research design of future craniometric studies, as they indicate that the suitability of certain landmark types as reference points for geometric operations, such as partial Procrustes analysis, depends on the method by which they are measured. This information is particularly important for retrospective research or for combined databases such as FORDISC or CRANID, which may integrate different types of landmarks recorded by different researchers and/or instruments. Crania displaying poor preservation and surface discoloration yielded larger measurement errors, especially for the 3D model measurements. This is not surprising given that landmarks on 3D models cannot be located using tactile means, but have to be located solely on a visual basis. Nonetheless, even though the digitiser measurements exhibit an overall precision slightly greater than the 3D model measurements, both techniques yield coordinate data with a precision sufficient for most craniometric research. Copyright © 2010 John Wiley & Sons, Ltd.     

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.     

A Wavelet‐Based Extension of Generalized Linear Models to Remove the Effect of Spatial Autocorrelation. 基于小波扩展广义线性模型消除空间自相关的影响

Biogeographical studies are often based on a statistical analysis of data sampled in a spatial context. However, in many cases standard analyses such as regression models violate the assumption of independently and identically distributed errors. In this article, we show that the theory of wavelets provides a method to remove autocorrelation in generalized linear models (GLMs). Autocorrelation can be described by smooth wavelet coefficients at small scales. Therefore, data can be decomposed into uncorrelated and correlated parts. Using an appropriate linear transformation, we are able to extend GLMs to autocorrelated data. We illustrate our new method, called the wavelet‐revised model (WRM), by applying it to multiple regression with response variables conforming to various distributions. Results are presented for simulated data and real biogeographical data (species counts of the plant genus Utricularia [bladderworts] in grid cells throughout Germany). The results of our WRM are compared with those of GLMs and models based on generalized estimating equations. We recommend WRMs, especially as a method that allows for spatial nonstationarity. The technique developed for lattice data is applicable without any prior knowledge of the real autocorrelation structure.     

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.     

Applying Policy Process Theories to Environmental Governance Research: Themes and New Directions

Policy scholars have effectively leveraged policy process models, theories, and frameworks to respond to a variety of important environmental questions. For example, how do environmental issues arrive on the agendas of policymakers? What factors contribute to environmental policy change? What are the designs and effects of institutions (e.g., policies or cultural norms) on environmental governance? In this review, we survey the field of policy process scholarship, focusing on environmental governance, with three objectives. The first objective is to catalog the policy process models, theories, and frameworks most often featured in studies of environmental governance. The second is to capture the methodological choices commonly employed in the application of these models, theories, and frameworks in environmental domains. The third is to identify how these approaches deal with issues central to environmental governance research, including time, space, and policy scale. We aim to identify trends and strategies for integrating key considerations of scale into empirical policy process scholarship.