Stanford University Public Opinion Surveys on Global Warming (2013): Should Government Limit Greenhouse Gas Emissions from U.S. Businesses?
Percentage of Americans who believe government should limit greenhouse gas emissions from U.S. businesses
Source: Map created by Stanford Geospatial Center based on data compiled by Stanford University Visiting Scholar Bo MacInnis and Stanford University Professor Jon Krosnick. Professor Krosnick is the Frederic O. Glover Professor in Humanities and Social Sciences at Stanford University and a Senior Fellow at the Stanford Woods Institute for the Environment. For more information, visit http://climatepublicopinion.stanford.edu.
Survey Question: 2012: As you may have heard, greenhouse gasses are thought to cause global warming. In your opinion, do you think the government should or should not limit the amount of greenhouse gasses that U.S. businesses put out? 2008-2011: Some people believe that the United States government should limit the amount of air pollution that U.S. businesses can produce. Other people believe that the government should not limit air pollution from U.S. businesses. What about you? Do you think the government should or should not limit air pollution from U.S. businesses?
Methodology: For more than a decade, many surveys have measured Americans' opinions about various issues related to global warming. These surveys have involved interviewing truly random samples of the American adult population and have been designed to yield estimates for the country as a whole. Many of these surveys have asked the same questions repeatedly. To generate the state level analysis, MacInnis and Krosnick first combined these surveys, yielding a large number of respondents, selected randomly, for almost every state in the country. MacInnis and Krosnick then applied a statistical modeling procedure to estimate what public opinion would be in each state today. This procedure modeled differences between states, effects of survey mode (e.g., telephone interviewing vs. self-completion of online questionnaires), differences between results obtained by different interviewing firms, and trends in opinions over time. This methodology produced estimates of the results that would be obtained by random digit dialing telephone interviews in 2013.