The Environmental Protection Agency developed the Clean Air Interstate Rule (CAIR) to minimize sulfur dioxide and nitrogen oxide emissions from power plants and prevent pollution spillover into downwind states. While observers of CAIR claim success in the reduction of air pollution, our innovative multivariate statistical analysis based on spatial and facility‐level panel data finds mixed results concerning the rule's effectiveness. On the one hand, we find that CAIR facilities are associated with increases in the reduction rate of pollution compared to non‐CAIR facilities. However, the evidence suggests that sulfur dioxide levels decreased in CAIR‐mandated facilities before the actual implementation of the program. Additionally, on the one hand, CAIR facilities in the interior of states are associated with slower pollution reduction rates than those on the border. However, this difference in reduction rate does not change dramatically before or after the adoption or implementation of this rule. This suggests that the CAIR program was ineffective in targeting specific facilities most likely to contribute to interstate pollution. We conclude that while CAIR spurred the electrical utility industry to reduce air pollution, some of these reductions occurred before the actual implementation of the program. More substantially, gains in interstate spillover pollution did not occur by targeting specific facilities most likely to spillover but rather through the overall reduction of air pollution in the eastern states.
Political scientists frequently use in-class simulations as teaching tools. However, few such exercises have been developed to assist in teaching pre-modern political theories. This is unfortunate because simulations effectively promote active learning and excite students about course material. This article develops a new simulation to teach Locke's Second Treatise of Government in an introductory general education or political science course. Surveys of participants indicate that the Locke simulation promotes active learning, as well as understanding of course concepts, teamwork, and interest in the material.
Traditionally, diffusion policy scholars sought to understand state climate change policy leadership by exploring the speed of policy adoption. This study moves beyond these approaches by exploring factors that influence adoption as well as those that influence the content of a policy or policy goal intensity. Through the exploration of the first “wave” of state GHG reduction targets during the early 2000s, we create an innovative policy commitment variable that standardizes state emissions targets and explores the specific factors influencing these mitigation goals. Our results suggest that internal political factors (Democratic control of the legislature), lower state carbon dioxide emissions and dependency on coal production increases the likelihood of target adoption. However, the degree of GHG reduction commitments (content) are dependent on both internal and external factors, such as neighboring states adoption, carbon dioxide emission levels, citizen ideology, environmental interest groups, natural gas production and solar energy potential. These results support the growing literature on differentiating adoption and the content of a policy when analyzing the spread of policy ideas. Additionally, it suggests the limitations of states as climate leaders.
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