Predictors of U.S. public support for climate aid to developing countries

Author:

Ansah Patrick OORCID,Campbell Eryn,Kotcher JohnORCID,Rosenthal Seth A,Leiserowitz Anthony,Maibach EdwardORCID

Abstract

Abstract Effectively responding to global warming requires mitigation and adaptation efforts worldwide. Although developed countries have pledged substantial financial support to help developing countries respond to climate change, these pledges have yet to be fulfilled. A majority of American voters support providing aid to developing nations, however, levels of support differ sharply between Democrats and Republicans. To investigate the predictors of support for climate aid among registered voters in the United States and to assess the effect of political party identification, we conducted hierarchical regression and relative weight analysis on a nationally representative sample of U.S. registered voters (n = 898) surveyed in 2021. Among all voters, the predictors of support for climate aid were: party identification (with more support among Democrats), perceived risk to developing countries, worry about global warming, injunctive beliefs that the U.S. should do more, and global warming belief certainty. Among Democrats, the predictors were: perceived risk to the U.S., worry, injunctive beliefs the U.S. should do more, education, and income. Among Republicans, the predictors were: perceived risk to developing countries, and injunctive beliefs the U.S. should do more. These findings have both theoretical and practical relevance for efforts to build public support for development assistance aimed at reducing climate change.

Funder

The Energy Foundation

11th Hour Project

The Grantham Foundation

The MacArthur Foundation

Publisher

IOP Publishing

Subject

Atmospheric Science,Earth-Surface Processes,Geology,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Food Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3