Writings

Books, articles, chapters, and invited talks.

49 of 49 results

  1. Matthew C. Nowlin. 2026. “Beliefs Updating Through Information Processing.” In Handbook of Policy Learning, eds. Claudio M. Radaelli and Bishoy L. Zaki. Edward Elgar Publishing, 193–204.
    Abstract
    Policy learning is a key element of policymaking processes, and there is a wide array of approaches to understand policy learning and its effects on public policy. This chapter explores nascent policy learning through the information processing model. The model combines belief systems and policy-oriented learning from the Advocacy Coalition Framework with insights on information processing from Punctuated Equilibrium Theory. Additionally, the model utilizes a Bayesian approach where policy learning is understood as belief updating following the processing of information. In the model, beliefs are understood as distributions with a central tendency, the belief, and variance, or uncertainty about the belief. Information is processed relative to prior beliefs, and the possible outcomes of information processing include no learning, belief decay (an increase in uncertainty), belief reinforcement (a decrease in uncertainty), and belief change (a significant shift in the central tendency of the belief). The chapter discusses the model, its applications, and areas for future research.
    Publisher’s Version
  2. Matthew C. Nowlin. 2026. “What Beliefs Are Central in the Climate Change Belief System Network?.” Social Science Quarterly, 107(5): e70202.
    Abstract
    Objective: Climate change is one of the most polarized issues among the US public, and the beliefs that divide the public –cultural worldviews, political ideology, environmental orientation, perceived scientific consensus, and climate policy preferences – form an interconnected belief system. Belief systems have historically been understood as having a hierarchical structure, in which abstract, deep core beliefs constrain policy core and secondary beliefs. Recent work suggests that such a system can be understood as a network, in which beliefs are nodes, edges represent the relationships between them, and centrality captures a belief’s structural importance. This paper asks which climate change beliefs are most central, and whether the answer depends on how the belief system is modeled. Methods: I use original survey data from a quota-based sample of 1,129 US residents collected in October 2017. Over the same 17 belief nodes, I estimate the belief system as both an undirected network, using a Gaussian graphical model, and a directed network, using a Bayesian network learned with hill-climbing, tabu search, and constraint-based algorithms. Structural importance is measured with bootstrapped betweenness, closeness, and strength centrality in the undirected model, and with out-degree and Markov blanket size in the directed model. Results: Structural importance cuts across the deep core, policy core, and secondary belief hierarchy that theory predicts. Individualism, perceived climate risk, and support for an international agreement are robustly central regardless of whether the network is modeled as undirected or directed, and support for an international agreement occupies the most upstream position in the directed network. Egalitarianism ranks highest on betweenness and closeness in the undirected network yet is peripheral in the directed one. Political ideology, partisanship, and perceived scientific consensus rank low on nearly every measure in both models. Conclusions: A belief’s structural importance likely depends on both the type of belief and modeling assumptions, complicating any single account of how climate change beliefs are organized. Rather than replacing the hierarchical approach common in policy process research, a network approach likely offers additional analytic leverage, particularly when undirected and directed models are estimated together.
    Publisher’s VersionCode (GitHub)
  3. Thomas M. Rabovsky, Matthew C. Nowlin, and Emily Mee. 2026. “Cultural Theory, Political Ideology, and Burden Tolerance: The Role of Core Beliefs in Shaping Support for Administrative Burdens.” The American Review of Public Administration, Forthcoming.
    Abstract
    Administrative burdens embedded within many public policies are often politically contentious, such that core values and belief systems can drive either support or opposition. In this paper, we use survey data from US respondents to replicate and extend previous research on the public acceptance of administrative burdens in general. First, we confirm the measure’s validity by examining its effects on beliefs across policies that range from highly polarized to less politically contentious. Second, we test the relationship between tolerance of administrative burden and cultural theory (CT) variables that tap into worldview orientations related to hierarchy, egalitarianism, individualism, and fatalism, which previous research has found predictive of policy preferences across a wide range of domains, even after accounting for political ideology and partisanship. We hypothesize that egalitarians and individualists will generally be less tolerant of burdens, while hierarchs will be more accepting of burdensome requirements. However, this effect varies depending on the nature of the burdens and how they relate to perceived threats for each worldview.
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  4. Matthew C. Nowlin and Aaron C. Sparks. 2026. “Behaving Sustainably: Cultural Cognition, Environmental Orientation, and Pro-Environmental Behavior.” Sustainability, 18(17): 8883.
    Abstract
    Scholars have long noted an “attitude–behavior gap” which reflects an incomplete understanding of how values and beliefs translate into pro-environmental action. This study develops and tests a conceptual model in which cultural worldviews along grid (hierarchy-egalitarianism) and group (individualism-communitarianism) dimensions shape environmental orientations, which in turn drive pro-environmental behavior. Environmental orientation is treated as having a cognitive component, measured by the New Ecological Paradigm (NEP), and an affective component, measured by the Connectedness to Nature Scale (CNS). Using survey data from 501 US adults collected online in July 2017, we estimate a Structural Equation Model (SEM) to test direct, indirect, and mediated relationships among cultural worldviews, the NEP, the CNS, and a 12-item self-reported behavior scale. Results showed hierarchical individualists held weaker ecological worldviews, while egalitarian communitarians held stronger ecological worldviews and felt more connected to nature. Both the NEP and CNS were positively associated with behavior, with the CNS showing the stronger relationship. Cultural worldviews had no significant direct effect on behavior; rather, their influence operated entirely through environmental orientations. These findings indicate that cultural worldviews shape pro-environmental behavior indirectly, mediated by cognitive and especially affective environmental orientations, helping to explain part of the attitude–behavior gap.
    Publisher’s VersionCode (GitHub)
  5. Matthew C. Nowlin, Chris Anderson, and Justin Reedy. 2026. “Deciding Who Decides: Trust and Support for Elected Official, Expert, and Citizen Decision-Making Regarding Nuclear Waste Management.” Review of Policy Research, 43(1).
    Abstract
    Many policy issues, such as nuclear waste management, are complex and require expertise to address. In many such policy areas, decisions are made by elected officials with input largely from experts and not the public or other stakeholders. However, such top-down approaches can create mistrust and political opposition. In the case of nuclear waste management in the United States, the selection of a single waste repository (Yucca Mountain in Nevada) by Congress led to strong opposition, stagnation, and an eventual call for a participatory, consent-based siting approach to determine the location for a nuclear waste repository. While consent-based siting is appealing, it is not clear if the public, broadly speaking, would support a participatory approach or an expert-driven approach regarding nuclear waste management. In this paper, we examine public trust and public preferences for policy influence among elected officials, experts, and citizens. Specifically, we develop and test a theoretical framework that posits that the various cultural worldviews—hierarchy, egalitarianism, individualism, and fatalism—shape trust in policy actors and that cultural worldviews and trust shape which policy actors the public believes should influence nuclear waste policymaking. Overall, we find the public trusts citizens and experts more than the government and elected officials. Additionally, we find that the public thinks experts should have more influence on nuclear waste policy than citizens or elected officials. Finally, regarding cultural worldviews, hierarchs tended to trust experts and elected officials and support their influence, whereas egalitarians tended to trust citizens and support their influence.
    Publisher’s Version
  6. Francesca Vantaggiato, Mark Lubell, Matthew C. Nowlin, Juita-Elena (Wie) Yusuf, and Majid Shafiee-Jood. 2026. “Sea-Level Rise Adaptation and Collaboration in Polycentric Governance: A Comparison of Three Regions.” Public Administration Review, Forthcoming.
    Abstract
    Adaptation to sea-level rise confronts coastal communities worldwide with a new set of collective action problems that require collaboration. When does collaboration result in concrete action for adaptation? To address this question, we combine the Ecology of Games and Collaborative Governance frameworks using a comparative analysis of three coastal regions in the United States. We leverage original survey data from the San Francisco Bay Area in California (2018, N = 878), the Tri-County (Charleston) Area in South Carolina (2022, N = 152), and the Hampton Roads region in Virginia (2023, N = 153), three regions that differ in terms of vulnerability, institutional capacity, and political culture. Across all three regions, we find that collaboration in sea-level rise adaptation is driven by a core set of high-capacity actors who build and participate across multiple planning forums in polycentric governance arrangements.
    Publisher’s Version
  7. Matthew C. Nowlin. 2025. “Can We Regulate Greenhouse Gas Emissions in the U.S.?.” POLS Talks, Department of Political Science, University of Texas at Arlington, Arlington, TX.
  8. Matthew C. Nowlin. 2025. “Environmental Policymaking: Process and Evolution.” City University of New York, Environmental Policymaking graduate course, Virtual.
  9. Matthew C. Nowlin. 2025. “Learning and Uncertainty: Information Environments and Policy-Oriented Learning.” In The Advocacy Coalition Framework, eds. Hank Jenkins-Smith and Christopher Weible. Palgrave Macmillan, 155–182.
    Abstract
    Policy-oriented learning is a significant component of the Advocacy Coalition Framework (ACF) and one of the pathways to policy change. In brief, policy-oriented learning involves the development of or changes in policy-relevant beliefs. Additionally, the outcomes of policy-oriented learning include both belief change and belief reinforcement. Recent work noted that beliefs can be understood as probability distributions with a central tendency (the belief) and variance (uncertainly about the belief). Belief reinforcement occurs when variance is reduced, and learning occurs when the central tendency shifts as a result of information processing. However, the nature of the information environment likely impacts information processing and learning, yet this has largely not been examined. Information environments include the type (e.g., science/technical, political) and availability (e.g., held within epistemic communities, widely available) of possibly relevant information for policymaking. In this chapter, I combine a decade’s worth of public opinion data from 2013 to 2023 to examine beliefs among the public regarding the issues of climate change and nuclear energy. Climate change and nuclear energy are complex issues that involve scientific and technical information and both are politically polarized, though nuclear energy is less polarized than climate change. However, the information environments differ as climate change is featured much more than nuclear energy in media coverage, congressional hearings, and political speeches. I found that learning occurred for both issues between 2013 and 2023 as measured by a significant shift in the mean of risk perceptions; however, learning as belief reinforcement did not occur. Indeed, variance increased for both issues, which reflects increased uncertainty. Examining learning across deep core beliefs (cultural worldviews, environmental orientation, and political ideology), I found learning across deep core beliefs and issues, but uncertainty increased regarding nuclear energy, the issue with less available information. These findings point to the need to consider the role of information environments and uncertainty in policy learning.
    Publisher’s Version
  10. Matthew C. Nowlin. 2024. “Environmental Policy, Politics, and Polarization.” Panel discussion, “Environmental Policy and the Impact of Elections,” College of Charleston, Charleston, SC.
  11. Matthew C. Nowlin. 2024. “Institutions and Actors in US Climate Policy.” City University of New York, Environmental Policymaking graduate course, Virtual.
  12. Sean Cannon, Abigail Prochaska, Kendra Stewart, Timothy Callahan, and Matthew C. Nowlin. 2024. “Identifying Barriers Preventing Stormwater Pond Buffer Implementation in Coastal South Carolina.” Journal of South Carolina Water Resources, 9(2).
  13. Abstract
    Within the Advocacy Coalition Framework (ACF), policy-oriented learning is understood as a change in policy beliefs. Additional work has noted that belief reinforcement, not just belief change, is also a potential policy learning outcome. Yet, little work has attempted to reconcile how learning could involve both belief change and belief reinforcement. In this article, I propose a policy-oriented learning model where policy beliefs – deep core, policy core, or secondary aspects – are understood as having a distribution with a central tendency (that is, the belief) as well as variance (that is, certainty associated with the belief). With policy beliefs considered as distributions, learning can be understood as changes in beliefs (that is, a change in the central tendency) as well as changes in certainty (that is, variance), and conversely, a decrease in belief uncertainty would constitute belief reinforcement. Using data from a deliberative forum that brought together various stakeholders including experts, natural resource managers, and the public to discuss environmental issues impacting coastal communities, I explore policy-oriented learning as changes in concern regarding several key issues before and after the forum. Additionally, I examine the association between concern following the forum and self-reported learning. I find support for the proposed policy-oriented learning model as shown by significant changes in average concern as well as average variance among participants across several of the issues discussed. In this way, the article makes a theoretical contribution to the ACF literature by testing the use of distributions to assess policy learning.
    Publisher’s Version
  14. Matthew C. Nowlin and Wesley Wehde. 2024. “Teaching Quantitative Methods to Students of Public Policy.” In Handbook of Teaching Public Policy, eds. Philippe Zittoun and Emily St Denny. Edward Elgar Publishing, 168–180.
    Abstract
    The use of quantitative methods is ubiquitous across the field of public policy. Such methods are used in policy analysis and evaluation as well as by scholars of the policy process. The broad use of quantitative methods requires that these methods are taught to a wide array of students in various programs including undergraduate programs, Master in Public Administration (MPA), Master in Public Policy (MPP), and Ph.D. programs in public affairs, political science, and economics, among others. In this chapter, we delineate a few key considerations when teaching quantitative methods to policy students. First is know your audience. As noted, students of public policy are spread across programs and have varying career goals. Therefore, there is not a one-size-fits-all approach to teaching quantitative methods, rather some students (e.g., MPA) will be best served learning to be sophisticated consumers of quantitative methods, whereas other students (e.g., Ph.D.) will need to be sophisticated users. Second is emphasize theory. Theory - the logical propositions that connect cause and effect - is a vital component of building scientific knowledge and is also vital to policy design and analysis. Therefore, students should understand the importance of theory and how theoretical claims are challenged and empirically tested. Third is learn by doing. Quantitative methods are best understood through application. Students at all levels should be required to find or collect data, determine the appropriate method to analyze that data, and be able to communicate the results. Finally, build good habits. Good habits in quantitative methods include proper data management, openness about assumptions and data limitations, and producing work that can easily be replicated. Additionally, the use of open-source tools is an important component of good habits.
  15. Matthew C. Nowlin. 2023. “Beliefs about Climate Change.” Center for Coastal Physical Oceanography and Institute for Coastal Adaptation & Resilience, Old Dominion University, Fall 2023 Virtual Seminar Series, Virtual.
  16. Wesley Wehde and Matthew C. Nowlin. 2023. “Determining Patterns of Routine Weather Information Usage and Their Demographic Determinants.” Weather, Climate, and Society, 15(3): 711–725.
    Abstract
    Social science studies of weather and natural hazards have examined in depth the sources of information individuals use in response to a disaster. This research has primarily focused on information sources in isolation and as they relate to severe weather. Thus, less research has examined how individuals use information acquisition strategies during routine times. This paper addresses this limitation by examining patterns of routine weather information source usage. Using three unique survey datasets and Latent Class Analysis, we find that weather information source usage can be summarized by a limited number of coherent classes. Importantly, our results suggest weather information types, or classes, are generally consistent across datasets and samples. We also find demographic determinants, particularly age, help explain class membership; older respondents were more likely to belong to classes less reliant on technology-based information sources. Income and education also were related to more complex or comprehensive information use strategies. Results suggest the prevalent view of single-source information usage in previous research may not be adequate for understanding how individuals access information, in both routine and extreme contexts.
    Publisher’s Version
  17. Justin Reedy, Chris Anderson, and Matthew C. Nowlin. 2023. “Technical Issues and Engagement Processes: Support for Citizen and Expert Deliberation Regarding the Management of Nuclear Waste.” Frontiers in Communication, 8.
    Abstract
    Deliberative forums have been increasingly used to involve citizens in policymaking, but it is unclear whether people trust their fellow citizens to make decisions in highly technical areas like nuclear policy relative to more commonly used expert bodies. We examine public support for citizen and expert deliberation regarding the siting of nuclear waste facilities and note the role of values, views on deliberation, and civic experiences on support for each type of deliberation. We find that past civic experiences are associated with increased support for citizen decision-making. In addition, we find that underlying views on nuclear power may be more important in shaping support for a decision on nuclear waste facility siting than attitudes toward particular kinds of governance processes.
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  18. John Rountree, Chris Anderson, Justin Reedy, and Matthew C. Nowlin. 2022. “The Internal Dynamics of ‘Scaling Up’ Deliberative Mini-Publics.” Communication and the Public, 7(3): 146–164.
    Abstract
    Recent deliberative systems research has emphasized the need to “scale up” deliberative mini-publics by exploring connections between mini-publics and broader a…
    Publisher’s Version
  19. Matthew C. Nowlin. 2022. “Deliberative Processes as a Tool for Stakeholder Engagement.” S.C. Sea Grant Consortium Research Symposium, Charleston, SC.
  20. Rachel Hawes and Matthew C. Nowlin. 2022. “Climate Science or Politics? Disentangling the Roles of Citizen Beliefs and Support for Energy in the United States.” Energy Research and Social Science, 85.
    Abstract
    To potentially mitigate further climate change, the US needs to move away from fossil fuels and towards carbonfree sources of energy. The issue of climate change is highly polarized, which has led to beliefs about climate change becoming entangled with political beliefs. Yet, public support for decreasing the use of fossil fuels and increasing renewable sources is high. In this paper, we use an original survey of about 1300 respondents to examine the potential for the entanglement of political beliefs, climate change beliefs, and energy preferences. We find that the majority of respondents support a decreased use of fossil fuels, a slight increase of nuclear energy, and a large increase of renewable sources; however, conservative Republicans prefer smaller decreases of fossil fuels and smaller increases in renewables. Additionally, we find that as respondents increasingly accept the scientific consensus on climate change, they support larger decreases in fossil fuels and larger increases in renewable energy. Finally, using mediation analysis we find that climate beliefs mediate the relationship be­ tween political beliefs and energy preferences for conservative Republicans and liberal Democrats, but not those with more moderate political beliefs. These findings point to the potential for energy preferences to become entangled in climate change as a result of elite discourse.
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  21. Matthew C. Nowlin, Maren Trochmann, and Thomas M. Rabovsky. 2022. “Advocacy Coalitions and Political Control.” Politics and Policy, 50(2): 201–224.
    Abstract
    The Advocacy Coalition Framework (ACF) posits that policy actors, including elected officials and bureaucrats, aggregate into coalitions based on shared beliefs and coordinate to achieve policy objectives. Yet, bureaucrats are often subject to political control mechanisms understood within a principal-agent framework. Combining insights from principal-agent theory and the ACF, we explore the nature of principal-agent relationships within and across advocacy coalitions in the United States using case studies of nuclear waste management and fair housing policy. Specifically, we develop three propositions regarding principals and agents as members of advocacy coalitions and examine those propositions by comparing the two case studies. We find that powerful elected officials and expert bureaucrats are important resources for coalitions; bureaucrats are in coalitions but face cross-pressure from principals in opposing coalitions; and control mechanisms embedded in policy designs by principals can limit bureaucratic discretion in a way that aligns with coalition goals. Related Articles Neill, Katharine A., and John C. Morris. 2012. “A Tangled Web of Principals and Agents: Examining the Deepwater Horizon Oil Spill through a Principal–Agent Lens.” Politics & Policy 40(4): 629–56. https://doi.org/10.1111/j.1747-1346.2012.00371.x Peterson, Holly L., Mark K. McBeth, and Michael D. Jones. 2020. “Policy Process Theory for Rural Studies: Navigating Context and Generalization in Rural Policy.” Politics & Policy 48(4): 576–617. https://doi.org/10.1111/polp.12366 Swigger, Alexandra, and Bruce Timothy Heinmiller. 2014. “Advocacy Coalitions and Mental Health Policy: The Adoption of Community Treatment Orders in Ontario.” Politics & Policy 42(2): 246–70. https://doi.org/10.1111/polp.12066
    Publisher’s VersionCode (GitHub)
  22. Abstract
    Under a polycentric approach to climate change, action is taken at different scales and across all levels of government and sectors of society. Some scholars have argued that such an approach is the best lens to view the governance of climate change and that a polycentric approach has advantages in addressing collective-action problems. However, taking a polycentric approach would require public support for action at multiple scales. The issue of climate change is polarized across political beliefs and cultural worldviews and little research has examined how the public views climate action at one level of government relative to others as well as relative to actions by the private sector and by individuals. Using an original survey of the US public from October 2017, I explore who it is that the public thinks should ‘do more’ about climate change and the role that the cultural worldviews posited by cultural theory—hierarchical, egalitarian, individualist, and fatalist—plays in shaping those opinions. Overall, I find support for multiple actors doing more to address climate change, but with differences in support between egalitarians and individualists for actors overall and for the federal government in particular.
    Publisher’s Version
  23. Matthew C. Nowlin and Wesley Wehde. 2021. “Social Capital and Hurricane Warning Response.” International Journal of Disaster Risk Reduction, 65.
    Abstract
    Social capital — resources that are available as a result of social relationships and connections — has been shown to be an important component across the various stages of a natural disaster, such as a hurricane. Additionally, research has shown that the importance of the different types of social capital — bonding, bridging, and linking — can vary as the disaster progresses from preparation, to the immediate aftermath, to long-term recovery. Yet, findings are not consistent regarding the impact of social capital on taking protective action (e.g., evacuation, shelter in home or community) following a hurricane warning. In this paper, we leverage an original survey of 1450 residents living in coastal communities in the Southeast and Gulf Coast regions of the United States to examine the role of social capital in stated behaviors in response to a hurricane warning. Additionally, we examine the stated likelihood of evacuating if advised to by close contacts (friends, family, and co-workers) and elite sources (emergency management officials, elected officials, and the media). We find that bonding social capital is associated with an increased likelihood to evacuate and shelter in home as well as an increased likelihood to listen to close contacts that encourage evacuation. In addition, we find that linking social capital is associated with an increased likelihood of evacuation if encouraged to by elite sources.
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  24. Matthew C. Nowlin. 2021. “Policy Learning and Information Processing.” Policy Studies Journal, 49(4): 1019–1039.
    Abstract
    Policy learning is an important concept in the study of policymaking, yet it is difficult to model and empirically estimate. Additionally, work on policy learning has not fully drawn from the work on information processing in the policy process. In this paper, I propose a model of policy learning that incorporates the Advocacy Coalition Framework’s notion of policy-oriented learning and the theory of disproportionate information processing within a Bayesian learning framework. Policy learning through Bayesian updating occurs as individuals adjust their prior beliefs in light of new information, and in the approach posited here, learning is a function of the strength of prior beliefs and the weight given to new information. Additionally, learning is thought to occur only when subsequent beliefs move in the direction of the information. Then, I demonstrate the policy learning model using public opinion data about Yucca Mountain, a proposed repository site for nuclear waste. Finally, I conclude with suggesting ways in which the policy learning model can be incorporated into current policy learning theories and frameworks.
    Publisher’s VersionCode (GitHub)
  25. Matthew C. Nowlin. 2021. “Political Beliefs, Views about Technocracy, and Energy and Climate Policy Preferences.” Public Understanding of Science, 30(3): 331–348.
    Abstract
    The use of technocratic decision-making, where policy decisions are made by elite experts, is an important aspect of policymaking in the United States. However, little work has examined public opinion about technocracy. Using data from a representative sample of the United States (n = 1200), I explore differences in support for technocracy and the implications of that support for views about politically controversial energy sources and climate policies. Overall, I find that liberal Democrats, moderate/conservative Democrats, and moderate/liberal Republicans were more likely than conservative Republicans and moderate independents to support technocratic decision-making. In addition, I find that as support for technocracy increases, so does support for energy sources and climate policies; however, there are significant interaction effects across political beliefs.
    Publisher’s VersionCode (GitHub)
  26. Abstract
    Using survey data collected from residents of counties along the South Atlantic and Gulf Coasts of the United States, we use innovative compositional
    Publisher’s Version
  27. Matthew C. Nowlin, Kuhika Gupta, and Joseph T. Ripberger. 2020. “Revenue Use and Public Support for a Carbon Tax.” Environmental Research Letters, 15(8).
    Abstract
    Many experts see carbon pricing as an effective way to reduce emissions of greenhouses gases; however, political and public support for carbon pricing has faltered. Recent research indicates that revenue recycling and policy design options may induce public support for carbon pricing, but does not examine change in support as a result of revenue use or possible heterogeneity in these inducements across partisan groups. Does support for a carbon tax shift significantly once revenue uses are discussed? Do conservatives and Republicans and liberals and Democrats respond to different revenue reuse options when formulating opinions about carbon taxation? This study employs a survey experiment to examine these questions. Key results indicate that support shifts are largest when the revenue would be refunded and conservatives and Republicans are responsive to different revenue usage options. Specifically, conservatives and Republicans are more supportive of a carbon tax when revenues go towards a tax rebate or deficit reduction. While the differences are relatively small and variable (uncertain), these results provide suggestive insight into the policy design options that may induce a bipartisan basis of public support for carbon taxation policies.
    Publisher’s VersionCode (GitHub)
  28. Matthew C. Nowlin and Thomas M. Rabovsky. 2020. “A Cultural Theory of Partisanship and Policy Attitudes.” Social Science Quarterly, 101(2): 878–892.
    Abstract
    Objective: Political parties provide an important function for a public that is generally seen as not consistently ideological by guiding its thinking about policy issues. In this article, we examine whether the four cultural worldviews derived from grid-group cultural theory—hierarch, egalitarian, individualist, and fatalist—are predictive of partisan attachments and perceptions of climate change risk among the public. Methods Data come from an original survey of the U.S. public conducted in 2011 and 2012. We use regression analysis to examine partisanship and perceived climate change risk; ordered logit to examine party attachment; and mediation analysis to examine the mediating effect of partisanship on cultural worldviews and climate change risk. Results We find that the group-oriented cultural types (egalitarians and hierarchs) are more likely to have stronger party attachments than the nongroup-oriented cultural types (individualists and fatalists). In addition, we find that the mediation effect of party is more pronounced among the group-oriented types than the nongroup oriented. Conclusion Grid-group cultural theory is predictive of both partisanship and policy attitudes and partisanship mediates the influence of cultural worldviews on climate change risk, particularly for those types with group orientations.
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  29. M. Lee Bundrick Jr. and Matthew C. Nowlin. 2020. “Place, Values, and Public Opinion About Climate Change in South Carolina.” Journal of Political Science, 48(1): 85–109.
  30. Matthew C. Nowlin. 2019. “Public Opinion About Climate Change in South Carolina.” Coastal and Environmental Law Summit, Charleston, SC.
  31. Matthew C. Nowlin. 2019. “Climate Change: Science, Policy, and Politics.” Science Cafe, Charleston County Public Library, Hurd/St. Andrews Branch, Charleston, SC.
  32. Matthew C. Nowlin. 2019. “Carbon Tax and Public Opinion.” Panel discussion, “Climate Change: Is A Carbon Tax A Solution,” College of Charleston, Charleston, SC.
  33. Kuhika Gupta, Matthew C. Nowlin, Joseph T. Ripberger, Hank C. Jenkins-Smith, and Carol L. Silva. 2019. “Tracking the Nuclear ‘Mood’ in the United States: Introducing a Long-Term Measure of Public Opinion about Nuclear Energy Using Aggregate Survey Data.” Energy Policy, 133.
    Abstract
    This study uses aggregate polling data to develop and validate a new measure of public support for nuclear energy that allows for the identification of factors that influence the evolution of opinion over relatively long periods of time. In addition to focusing events, such as a significant accident, this new measure shows that energy security risk has consistently driven support for nuclear energy in the US. When oil, gas, and coal were relatively expensive and scarce, support for nuclear energy went up, and when they were relatively inexpensive and abundant, it fell. This finding adds important nuance to our understanding of public support for nuclear energy in the past, and the prospects for a new “nuclear renaissance” in the future1.
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  34. Matthew C. Nowlin and Thaddieus W. Conner. 2019. “‘Hot Rocks that Shoot Ghost Bullets’: Native American Perceptions of a Nuclear Waste Facility.” Politics, Groups, and Identities, 7(1): 21–38.
    Abstract
    Environmental justice concerns are raised when environmental risks and hazards are inequitably distributed across society. Native American populations have long been at the center of environmental justice disputes, however relatively little quantitative research has examined how Native Americans view the risks related to the siting of a potentially hazardous facility. Combining 35 statewide surveys collected from 1990 to 2001, the following study explores the risk perceptions of Native American populations in New Mexico regarding the storage of nuclear waste. We find that Native Americans tend to have higher perceptions of risk regarding the Waste Isolation Pilot Plant (WIPP) facility than white respondents. We also explore variation within self-identified Native American respondents and find that older males tended to perceive less risk associated with WIPP and Native American respondents in counties with Navajo reservations tended to perceive more risk. These findings help in understanding how Native Americans perceive risk as it relates to environmental and energy issues.
    Publisher’s VersionCode (GitHub)
  35. Matthew C. Nowlin. 2019. “Environmental Policymaking in an Era of Climate Change.” New York, NY: Routledge.
  36. Matthew C. Nowlin. 2018. “Improving Governance of Risk and Uncertainty.” Journal of Public Administration Research and Theory, 28(1): 158–160.
    Abstract
    As author Mark Matthews notes in the afterword, this book represents a “formative stage in a longer-term project” (190) and, as such, there is much here to comm
    Publisher’s Version
  37. Matthew C. Nowlin. 2017. “The Policy and Politics of Climate Change.” Charleston County Democratic Women, Charleston, SC.
  38. Hank C. Jenkins-Smith, Joseph T. Ripberger, Gary Copeland, Matthew C. Nowlin, Tyler Hughes, Aaron L. Fister, and Wesley Wehde. 2017. “Quantitative Research Methods for Political Science, Public Policy, and Public Administration.” University Libraries, University of Oklahoma. SHAREOK, Open Education Resource.
    Abstract
    The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models. The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis, visualization and data management; and it uses publicly available survey data (from the Meso-Scale Integrated Socio-geographic Network) to illustrate important concepts and methods. We encourage students to download the data, replicate the examples, and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.
    Open TextbookDOI
  39. Matthew C. Nowlin. 2017. “Understanding Climate Change.” Charleston County Public Library, Charleston, SC.
  40. Thaddieus W. Conner, Matthew C. Nowlin, Thomas M. Rabovsky, and Joseph T. Ripberger. 2016. “Cultural Theory and Managerial Values: Examining Trust as a Motivation for Collaboration.” Public Administration, 94(4): 915–932.
    Abstract
    Public administration theorists have long argued that values of administrative actors fundamentally shape the quality and nature of the public services they provide. While there has been some work in recent years to measure values in the public sector like Public Service Motivation, we know relatively little about the role that other (more basic) values play in shaping managerial behaviour. To fill this gap,,we argue that Cultural Theory (CT), a prominent theory within research on risk and public opinion,,provides a general framework for,operationalizing and measuring,the values of public managers, which (if pursued) allows scholars to directly test important yet untested,hypotheses,about the relationship between values and managerial decision-making. To explore this proposition, we use data from,a recent survey of American Indian education directors in public school districts to examine the relationship between cultural worldviews and,managerial,motivation to engage actors in collaborative arrangements.
    Publisher’s Version
  41. Matthew C. Nowlin. 2016. “Modeling Issue Definitions using Quantitative Text Analysis.” Policy Studies Journal, 44(3): 309–331.
  42. Matthew C. Nowlin. 2016. “Policy Change, Policy Feedback, and Interest Mobilization: The Politics of Nuclear Waste Management.” Review of Policy Research, 33(1): 51–70.
    Abstract
    Many of the leading theories of the policy process are aimed at providing insights into the factors that make policy change more (or less) likely. In general, policy change is seen as a result of shifting dynamics within policy subsystems. However, building on theories of policy feedback and interest mobilization, this article examines whether policy change, apart from being an effect of subsystem dynamics, can be a cause of shifting dynamics as latent actors are motivated to participate in the subsystem as a result of policy change. Two hypotheses regarding post-policy change mobilization are developed and tested using data on participation in congressional hearings concerning the management of nuclear waste. The findings suggest that policy change can activate latent policy actors, specifically those actors that view themselves as “losing” as a result of the policy change. These results point to the need for scholars to examine the potential impacts of post-policy change dynamics on policy development.
    Publisher’s VersionCode (GitHub)
  43. Matthew C. Nowlin. 2015. “Partisanship, Information, and Public Opinion about Yucca Mountain.” In Proceedings of the 15th International High-Level Radioactive Waste Management Conference, 226–231. American Nuclear Society.
  44. Kevin Goebbert, Hank C. Jenkins-Smith, Kim Klockow, Matthew C. Nowlin, and Carol L. Silva. 2012. “Weather, Climate and Worldviews: The Sources and Consequences of Public Perceptions of Changes in Local Weather Patterns.” Weather, Climate, and Society, 4(2): 132–144.
    Abstract
    In this paper we analyze the changes Americans perceive to be taking place in their local weather, and test a series of hypotheses about why they hold these perceptions. Using data from annual nationwide surveys of representative samples of the American public taken from 2008 to 2011, coupled with geographically specific measures of temperature and precipitation changes over that same period, we evaluate the relationship between perceptions of weather changes and actual changes in local weather. In addition, the survey data includes measures of, individual level characteristics (age, education level, gender, income) as well as cultural worldview and political ideology. We test rival hypotheses about the origins of Americans’ perceptions of weather change, and find that actual weather changes are less predictive of perceived changes in local temperatures, but better predictors of perceived flooding and droughts. Cultural biases and political ideology also shape perceptions of changes in local weather. Overall, our analysis indicates that beliefs about changes in local temperatures have been more heavily politicized than is true for beliefs about local precipitation patterns. Therefore risk communications linking changes in local patterns of precipitation to broader changes in the climate are more likely penetrate identity-protective cognitions about climate.
    Publisher’s Version
  45. Joseph T. Ripberger, Geoboo Song, Matthew C. Nowlin, Michael D. Jones, and Hank C. Jenkins-Smith. 2012. “Reconsidering the Relationship Between Cultural Theory, Political Ideology, and Political Knowledge.” Social Science Quarterly, 93(3): 713–731.
    Abstract
    Objective: Social scientists from a variety of disciplines have employed concepts drawn from cultural theory (CT) to explain preferences across an array of issues. Recent research has challenged key elements of CT in a number of ways, perhaps most importantly by arguing that cultural types are simply another formulation of political ideology, and that only politically knowledgeable respondents reliably utilize either cultural or ideological categories in formulating preferences. This study reconsiders and expands upon this contention. Methods: Principal component analyses of responses to a U.S. national survey of 4,387 people. Results: Our findings are threefold: (1) people with low levels of political knowledge are able to sort egalitarianism and individualism into coherent worldviews; (2) people with high levels of knowledge do not collapse egalitarianism and individualism onto a single scale of political ideology; and (3) regardless of levels of knowledge, survey respondents are able to recognize all four of the value orientations proposed by CT. Conclusion: CT, which is related to but different than political ideology, offers a robust system of worldviews that both high- and low-knowledge individuals might draw upon to formulate opinions and make decisions.
    Publisher’s Version
  46. Hank C. Jenkins-Smith, Carol L. Silva, Matthew C. Nowlin, and Grant deLozier. 2011. “Reversing Nuclear Opposition: Evolving Public Acceptance of a Permanent Nuclear Waste Disposal Facility.” Risk Analysis, 31(4): 629–644.
    Abstract
    Nuclear facilities have long been seen as the top of the list of locally unwanted land uses (LULUs), with nuclear waste repositories generating the greatest opposition. Focusing on the case of the Waste Isolation Pilot Plant (WIPP) in southern New Mexico, we test competing hypotheses concerning the sources of opposition and support for siting the facility, including demographics, proximity, political ideology, and partisanship, and the unfolding policy process over time. This study tracks the changes of risk perception and acceptance of WIPP over a decade, using measures taken from 35 statewide surveys of New Mexico citizens spanning an 11-year period from fall 1990 to summer 2001. This time span includes periods before and after WIPP became operational. We find that acceptance of WIPP is greater among those whose residences are closest to the WIPP facility. Surprisingly, and contrary to expectations drawn from the broader literature, acceptance is also greater among those who live closest to the nuclear waste transportation route. We also find that ideology, partisanship, government approval, and broader environmental concerns influence support for WIPP acceptance. Finally, the sequence of procedural steps taken toward formal approval of WIPP by government agencies proved to be important to gaining public acceptance, the most significant being the opening of the WIPP facility itself.
    Publisher’s Version
  47. Matthew C. Nowlin. 2011. “Theories of the Policy Process: State of the Research and Emerging Trends.” Policy Studies Journal, 39(s1): 41–60.
    Abstract
    Over the last two decades many alternate theories of the policy process have been developed. This essay covers recent scholarship (from 2008 to 2010) regarding the major policy process theories. In addition, several recent trends in research are discussed including; the use of narrative in policy theory, issues that cross multiple subsystems, bureaucracy in the policy process, and synthesizing multiple theories and frameworks.
    Publisher’s Version