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As local governments have moved toward adopting sustainability policies, there have been some cases where local Tea Parties have emerged as aggressive and strident opponents of such changes. Looking broadly at the Tea Party movement across the United States and systematically measuring its influence in urban America, we assess each Tea Party chapter’s capacity – its ability to convert resources into meaningful political advocacy. Data is derived from surveys of political elites in 50 cities as well as from determining the level of sustainability programming in each of these same cities. Evidence demonstrates that the Tea Party has not had a significant impact on city policymaking in the area of sustainability. Rather, the typical Tea Party chapter appears to be at best a modest presence in local politics. [ABSTRACT FROM PUBLISHER]

American cities vary considerably in the degree to which they pursue sustainability. What explains this variation? One plausible cause of such differences is that sustainability may be more appealing to high-income cities than to more economically challenged cities. Yet such strict economic determinism seems simplistic and removes politics from an inherently political process. The hypothesis here is that any such relationship between income and commitment to sustainability is conditioned by a city's level of environmental advocacy. The data utilized in this analysis are derived from two large-scale data sources. One is a comprehensive inventory of sustainability programs and policies in 50 large American cities. The other is a set of surveys in those same 50 cities. The multivariate model supports the hypothesis. Controlling for income growth and the predisposition of policymakers to be supportive of sustainability (as well as other alternative explanations), a city's commitment to sustainability is strongly linked to the advocacy of environmental and sustainability groups in the policymaking process. The example of Sustainable Seattle is used to illustrate the linkages that would seem to underlie the statistical analysis. [ABSTRACT FROM AUTHOR]