How to Encourage Pro-Environmental Behaviors without Crowding Out Public Support for Climate Policies

Q2 Social Sciences
K. Raimi
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引用次数: 1

Abstract

Utilities, governmental agencies, and nonprofit organizations all use interventions meant to spur the public to act in ways that reduce greenhouse gas emissions, such as by turning down the heat in the winter and limiting beef consumption. Yet critics contend that these interventions promote relatively trivial behaviors while reducing the perceived need to support regulations that would have much more of an effect but might require, say, increased taxes or effort. In other words, promoting behavioral interventions can crowd out the public's support for climate policies. But this undesirable consequence is avoidable. In this article, I propose evidence-based guidelines, which I collectively call the SESH formula, for implementing climate-related behavioral interventions that avoid crowding out support for effective policies. They hold that interventions should (a) push for specific high-impact behaviors, (b) accurately convey the behaviors’ effectiveness, (c) promote behaviors that are similar to (that is, are clearly related to) desirable policies, and (d) frame the desired behaviors as steps toward a higher goal—in this case, climate-change mitigation. I review the evidence for each SESH guideline and identify areas for future research into behavioral interventions that will complement, rather than undermine, climate-change policies.
如何在不排挤公众对气候政策支持的情况下鼓励环保行为
公用事业公司、政府机构和非营利组织都采取干预措施,鼓励公众采取行动减少温室气体排放,例如在冬季降低热量和限制牛肉消费。然而,批评者认为,这些干预措施促进了相对琐碎的行为,同时减少了支持法规的必要性,这些法规可能会产生更大的影响,但可能需要增加税收或努力。换句话说,促进行为干预可能会排挤公众对气候政策的支持。但这种不良后果是可以避免的。在这篇文章中,我提出了基于证据的指导方针,我统称之为SESH公式,用于实施与气候相关的行为干预,避免挤出对有效政策的支持。他们认为,干预措施应(a)推动特定的高影响行为,(b)准确传达行为的有效性,(c)促进与理想政策相似(即明确相关)的行为,以及(d)将理想行为界定为迈向更高目标的步骤,在这种情况下,即减缓气候变化。我审查了每个SESH指南的证据,并确定了未来行为干预研究的领域,这些干预将补充而不是破坏气候变化政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Behavioral Science and Policy
Behavioral Science and Policy Social Sciences-Development
CiteScore
4.50
自引率
0.00%
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0
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