Digital carbon platforms enable measurable demand-side mitigation: Evidence from large-scale behavioral data
デジタルカーボンプラットフォームは需要側の測定可能な削減を可能にする：大規模行動データからのエビデンス (AI 翻訳)
Yu Xue, Yan Ning, Yi-Zheng Zhang, Shuo Zhang, Yi-Fei Zhang, Jian-Guang Li, Shi-Qi Jiang, Dong-Jie Sun, Lan Tao, Li Zhang
🤖 gxceed AI 要約
日本語
本研究は、デジタルカーボンプラットフォームが需要側の排出削減を測定可能にするかを検証。15,351人の行動データと傾向スコアマッチングを用いて、参加者は非参加者より約42%高い一人当たり削減量を示した。特にモビリティ行動（新エネルギー車利用、シェア自転車）で効果が大きく、心理的要因も関連。地域の人口や所得が削減量を予測する。
English
This study evaluates whether digital carbon platforms can operationalize consumption-based mitigation using data from 15,351 individuals. Propensity score matching shows participants achieve approximately 42% greater per-capita emission reductions, with largest effects in mobility behaviors (NEV use, bike-sharing). Psychological factors and regional demographics influence outcomes. Results support digital platforms as scalable demand-side climate mitigation tools.
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
日本ではカーボンフットプリントやデジタル技術を活用した需要側対策が注目されている。本研究成果は、デジタルカーボンプラットフォームが個人の行動変容を促進し、排出削減を定量化できることを示し、日本のカーボンニュートラル政策（GX実現）や自治体の環境施策に示唆を与える。
In the global GX context
Globally, demand-side mitigation is gaining policy attention alongside supply-side measures. This paper provides large-scale empirical evidence that digital carbon platforms can effectively track and incentivize individual emission reductions. It highlights the potential of integrating behavioral insights and digital infrastructure into climate strategies, relevant to international frameworks like the Paris Agreement and SDGs.
👥 読者別の含意
🔬研究者:Provides robust empirical evidence linking digital platform participation to measurable emission reductions, with methodological insights for causal inference in behavioral climate studies.
🏢実務担当者:Offers actionable evidence for companies and municipalities designing digital carbon reward programs to engage consumers in low-carbon behaviors.
🏛政策担当者:Supports policy integration of digital carbon platforms as complementary tools for national climate targets, emphasizing demand-side potential.
📄 Abstract（原文）
Abstract Demand-side mitigation is increasingly recognized as essential for achieving climate targets, yet empirical evidence linking individual behavior to measurable emission reductions remains limited. Here, demand-side emission reduction refers to measurable reductions in consumption-related emissions generated through individual low-carbon behaviors, including mobility choices, household energy-saving practices, workplace resource conservation, and low-carbon consumption. We evaluate whether digital carbon platforms can operationalize consumption-based mitigation using verified behavioral data from 15,351 individuals. Combining platform records with survey data, we apply propensity score matching to address selection bias between participants and non-participants. Results show that platform participation is associated with substantially higher per-capita emission reductions, with participants achieving approximately 42% greater reductions in the full behavioral dataset; propensity score matching in the survey-linked subsample further supports the robustness of this association. The largest effects are observed in mobility-related behaviors, including new energy vehicle (NEV) use and bike-sharing. Psychological factors, particularly perceived behavioral control and environmental self-efficacy, are positively associated with mitigation outcomes. At the regional level, population size and disposable income significantly predict aggregate carbon reduction, highlighting structural constraints on scaling demand-side action. Our findings provide large-scale, verified evidence that digital carbon platforms can translate low-carbon behaviors into measurable emission reductions. These results suggest that integrating behavioral tracking, standardized carbon accounting, and incentive mechanisms within digital infrastructures can complement supply-side policies and support scalable demand-side climate mitigation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/1748-9326/ae7815first seen 2026-06-07 05:04:43
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。