Recognition in climate justice: Lessons from land-based carbon dioxide removal
気候正義における認識：陸域ベースの二酸化炭素除去からの教訓 (AI 翻訳)
Elisa Paiusco
🤖 gxceed AI 要約
日本語
本論文は、気候正義における認識（recognition）の重要性を、陸域ベースの二酸化炭素除去（CDR）技術を事例に論じる。分配的正義に偏りがちな既存のCDR倫理議論に対し、ナンシー・フレイザーの地位モデルを用いて、手続き的・認識的正義を統合する必要性を主張する。特に、BECCSなどが先住民や地域コミュニティに与える影響を考慮し、制度的な尊重と平等な社会的地位が不可欠だと示す。
English
This paper reframes the ethics of land-based carbon dioxide removal (CDR) through the lens of recognition justice, arguing that existing CDR debates overemphasize distributive justice while neglecting how identity, culture, and social standing affect who benefits and how. Using Nancy Fraser's status-based model, it contends that recognition justice—requiring institutionalized respect and equal standing—is indispensable for ethically evaluating CDR deployment, particularly for bioenergy with carbon capture and storage (BECCS) in regions like Sub-Saharan Africa and Latin America where land-grabbing and indigenous displacement are risks.
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、森林吸収源やBECCSなどのCDR技術が議論されているが、地域コミュニティへの配慮が不足しがち。本論文が提示する認識的正義の視点は、日本の気候政策（例：GX実現に向けた基本方針）における社会的受容性や公正な移行（just transition）の議論に示唆を与える。
In the global GX context
Globally, CDR is central to IPCC scenarios and many national net-zero strategies, but ethical frameworks remain underdeveloped. This paper advances climate justice scholarship by integrating recognition theory into CDR governance, relevant for international bodies like the UNFCCC and for countries deploying land-based CDR (e.g., BECCS, afforestation) where procedural and recognitional justice are critical for legitimacy.
👥 読者別の含意
🔬研究者:Ethics researchers working on climate justice or CDR governance should integrate recognition dimensions beyond distributive justice.
🏢実務担当者:Corporate teams developing CDR projects (e.g., BECCS, afforestation) should note that ignoring recognition justice risks social opposition and project failure.
🏛政策担当者:Climate policymakers designing CDR incentives should ensure institutional safeguards for affected communities, aligning with just transition principles.
📄 Abstract（原文）
The ethical analysis of carbon dioxide removal (CDR) has developed within climate ethics, where distributive justice has assumed centre stage. As a result, CDR debates have inherited a similar focus on the allocation of burdens and benefits of deployment, leaving recognition-related issues comparatively underexplored. These issues concern how identity, culture, and social standing influence both who benefits from climate solutions and how these benefits are realised. For example, bioenergy with carbon capture and storage may displace local communities to make way for bioenergy crops. This is a pressing concern in regions such as Sub-Saharan Africa and Latin America, where institutional safeguards may be insufficient to prevent land-grabbing and where Indigenous populations often reside. This article addresses this research gap by reframing the ethics of CDR through Simon Caney's integrationist perspective, extending it beyond distribution to include procedural and recognitional justice. Recognition is developed here through Nancy Fraser's status-based model, which conceives justice as requiring institutionalised respect and equal social standing. Building on the work of Marion Hourdequin, Christopher Preston and Wylie Carr on status-based recognition and climate engineering, this article applies Fraser's account to land-based CDR techniques. It argues that existing approaches risk overlooking the values, worldviews and knowledge systems of affected individuals and communities, and contends that recognition justice is indispensable to assessing the ethical acceptability of CDR deployment. Ultimately, land-based CDR serves as a concrete case for advancing a broader argument about recognition in climate ethics.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1177/09632719261434791first seen 2026-06-29 08:34:22
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。