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#ManyDesignsCarbon

#ManyDesignsCarbon (AI 翻訳)

Armando Holzknecht, Rene Schwaiger, Juergen Huber, Esther Blanco, Michael Kirchler

OSF Preprints (OSF Preprints)ジャーナル2026-06-26#炭素価格Origin: US
原典: https://osf.io/ujvdn

🤖 gxceed AI 要約

日本語

本研究は、炭素価格への実質的な支持を高めるための55の行動介入を、約2万人の米国人を対象に同時に実施した。その結果、介入の効果は統計的に有意だが非常に小さく（Cohen's d: 0.04–0.08）、研究チームの期待効果は過大であることが示された。

English

This study simultaneously tested 55 behavioral interventions to increase real-world support for carbon pricing among nearly 20,000 US residents. Results show small but significant effects (Cohen's d: 0.04–0.08) and reveal strong overconfidence among research teams about their interventions' effectiveness.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本でも炭素税や排出量取引の導入が議論されているが、国民の受容性が課題となっている。本研究の知見は、効果的なコミュニケーションや制度設計に役立つ可能性がある。

In the global GX context

Carbon pricing is a core climate policy tool globally, and this large-scale replication study provides crucial insights on the limited effectiveness of behavioral nudges. The findings are relevant for policymakers designing public engagement strategies.

👥 読者別の含意

🔬研究者:This paper demonstrates the value of multi-laboratory collaboration and highlights the risk of overconfidence in intervention design.

🏢実務担当者:Policy advocates and campaigners can calibrate expectations: behavioral interventions yield only modest increases in carbon pricing support.

🏛政策担当者:The study suggests that political support for carbon pricing may not be easily boosted by simple behavioral interventions; complementary structural policies may be needed.

📄 Abstract（原文）

A carbon price is an effective and cost-efficient policy to mitigate emissions, yet low public acceptance and limited political support remain major barriers to its widespread implementation. This crowd-sourced "many-designs" project presents results from 55 behavioral interventions on real-world support for carbon pricing, independently developed by international research teams. By implementing the interventions simultaneously with almost 20,000 U.S. residents, this pre-registered study shows very small positive but statistically significant effects of behavioral interventions on real-world support, and stated support, including the willingness to endorse a carbon price that internalizes the social costs of $120 per ton of CO₂ emissions (Cohen's d's: 0.04–0.08; between 1.1–2.4 percentage points in increased support across outcomes). Furthermore, the results reveal low-to-medium between-study heterogeneity (τ: 0.07–0.12). Lastly, we identify strong overconfidence among research teams regarding the expected effects of their interventions and those of their peers, indicating a miscalibration of community expectations.

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