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Table 1_Decarbonising UK industrial clusters: the role of green finance and the risk(s) of lock-in.xlsx

英国の産業クラスターの脱炭素化:グリーンファイナンスの役割とロックインのリスク (AI 翻訳)

Guy Finkill, Clair Gough, Sarah Mander (10209119), Christopher Jones (784143)

Figshareデータセット2026-07-08#トランジション・ファイナンス経営インパクト: 資金調達対象セクター: cross_sector
DOI: 10.3389/fclim.2026.1836939.s001
原典: https://figshare.com/articles/dataset/Table_1_Decarbonising_UK_industrial_clusters_the_role_of_green_finance_and_the_risk_s_of_lock-in_xlsx/32933249

🤖 gxceed AI 要約

日本語

本研究は、英国の産業クラスターの低炭素移行におけるグリーンファイナンスの役割を包括的に検討し、資金調達枠組みが「グリーン」の定義を形成することを示す。炭素回収付きガス火力発電や廃棄物発電が「汚染防止」として資金調達される一方、ロックインを永続化させるリスクを指摘。絶対排出削減を優先する基準強化、独立検証、ライフサイクル排出に基づくKPIを提言する。

English

This study examines the role of green finance in the low-carbon transition of UK industrial clusters, showing how financing frameworks shape what is considered 'green'. It highlights that projects like carbon-capture-enabled gas power and energy-from-waste can be financed as 'pollution prevention', risking lock-in. Recommends strengthening eligibility criteria for absolute emissions reductions, independent verification, and lifecycle-based KPIs.

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

日本のGX移行において、グリーンファイナンスの枠組みが「グリーン」の定義を左右する点は、SSBJや移行金融の議論に示唆を与える。特に、CCUSや廃棄物発電への投資がロックインを生む可能性は、日本の産業クラスター政策(例:瀬戸内・九州)にも当てはまり、資金調達基準の設計に重要な視点を提供する。

In the global GX context

This paper contributes to global debates on transition finance and greenwashing by exposing how green finance frameworks can legitimize projects that perpetuate lock-in. It offers critical insights for ISSB and CSRD-aligned disclosure, urging stronger eligibility criteria and verification to ensure financed projects deliver absolute emissions reductions.

👥 読者別の含意

🔬研究者:Provides a critical framework for analyzing how green finance definitions shape investment outcomes and lock-in risks.

🏢実務担当者:Highlights the importance of robust eligibility criteria and verification in green bond frameworks to avoid greenwashing and ensure genuine decarbonization.

🏛政策担当者:Informs the design of green finance taxonomies and standards to prevent lock-in and promote deeper emissions reductions.

📄 Abstract(原文)

This study provides a comprehensive examination of financial flows involved in initiating the low-carbon transition of the UK’s industrial clusters. Green finance assumes a pivotal role in mobilising the capital required to underwrite substantial infrastructural modifications to reach climate commitments. Allocation of proceeds is guided by frameworks which influence the criteria for what constitutes ‘best practice’ in financing low-carbon transitions. The concept of what can be perceived as ‘green’ is influenced by the creation and management of these frameworks. Findings indicate that certain principles lay the basis for finance frameworks representing public and corporate green expenditures. These principles pave the way for the financing of projects such as carbon capture enabled gas-fired power stations and energy-from-waste facilities under the premise of ‘pollution prevention and control’. Such facilities can draw criticism of being non-transformative tools of climate mitigation as they perpetuate forms of lock-in via either consistent levels of waste or continued fossil-gas extraction and are thus lower on the mitigation hierarchy than facilities or policy implementation that deliver deeper emissions reductions. We shed light on how financing frameworks are influencing the boundaries of what is deemed eligible for investment and consequently affecting what is considered ‘green’ from a market perspective. We recommend a green finance system capable of delivering deeper mitigation by strengthening eligibility and exclusion criteria to ensure prioritised projects deliver absolute rather than intensity-based emissions reductions; embedding independent second-party verification across all stages of capital raising and expenditure; and aligning KPIs with verifiable lifecycle emissions benchmarks.

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