Can Transparency Foster More Understanding and Compliant Citizens?

Voluntary policy compliance is an important yet rarely studied topic in public administration. To address the paucity of research, this article proposes and empirically tests a conceptual framework that ties policy transparency and policy understanding to voluntary policy compliance intentions. The reasoning is that the extent to which citizens understand a policy contributes to their intentions to comply with that policy. Further, the authors argue that policy transparency indirectly influences voluntary policy compliance intentions through a positive effect on citizens’ levels of policy understanding. To enhance the validity of the findings, the authors assess these relationships across two policy domains. The findings reflect an indirect positive effect of transparency on voluntary compliance occurring through policy understanding. However, this emerged only for one policy domain. These results suggest that the effects of policy transparency on policy understanding and voluntary policy compliance intentions may depend on the policy domain.     

Diversity,Trust, and Social Learning in Collaborative Governance

Scholarship on collaborative governance identifies several structural and procedural factors that consistently influence governance outcomes. A promising next step for collaborative governance research is to explore how these factors interact. Focusing on two dimensions of social learning—relational and cognitive—as outcomes of collaboration, this article examines potential interacting effects of participant diversity and trust. The empirical setting entails 10 collaborative partnerships in the United States that provide advice on marine aquaculture policy. The findings indicate that diversity in beliefs among participants is positively related to relational learning, whereas diversity in participants' affiliations is negatively related to relational learning, and high trust bolsters the positive effects of belief diversity on both relational and cognitive learning. In addition, high trust dampens the negative effects of affiliation diversity on relational learning. A more nuanced understanding of diversity in collaborative governance has practical implications for the design and facilitation of diverse stakeholder groups.     

At the Nexus of Observational and Experimental Research: Theory,Specification, and Analysis of Experiments with Heterogeneous Treatment Effects

Experimentalists are increasingly examining heterogeneous treatment effects, in which observed individual-level characteristics are hypothesized to moderate an experimental treatment effect. Such work places researchers at the nexus of experimental and observational approaches. In this paper, we discuss the theoretical and statistical issues that can arise in testing such hypotheses. We note that inclusion of an observed (as opposed to randomly-assigned) moderator introduces the possibility of confounds that are commonplace in observational data analysis but too-easily ignored in experimental data analysis. We simulate several different data generating processes that include heterogeneous treatment effects, and we discuss the implications of various statistical models. We aim to provide researchers who examine heterogeneous treatment effects with background and advice that enable them to identify where common issues may arise and to develop research designs and implement statistical tests that will mitigate them.     

The Impact of Prenatal Exposure to Power Plant Emissions on Birth Weight: Evidence from a Pennsylvania Power Plant Located Upwind of New Jersey

To examine the infant health impact of prenatal exposure to power plant emissions, we draw scientific evidence on the impacted region downwind of a large polluter, a coal‐fired power plant located on the border of two states and proven to be the sole contributor to the violation of air quality standards of the impacted region. Our results show that among all live singleton births that occurred during 1990 through 2006, those born to mothers living as far as 20 to 30 miles away downwind from the power plant (which is also an affluent region) during pregnancy are at greater risks of low birth weight (LBW) and very low birth weight (VLBW): the likelihoods of LBW and VLBW could increase approximately by 6.50 and 17.12 percent, respectively. In light of the continual efforts of The U.S. Environmental Protection Agency in reducing cross‐state air pollution caused by transboundary power plant emissions, our study is aimed at broadening the scope of cross‐border pollution impact analysis by taking into account adverse infant health effects of upwind polluters, which can impose disproportionate burdens of health risks on downwind states due to air pollutants transported by wind.