Epistemic derisking: Knowledge infrastructures in energy finance
エネルギーファイナンスにおける認識論的リスク低減：知識インフラストラクチャーの役割 (AI 翻訳)
Rosie Collington, Jacob Hasselbalch
🤖 gxceed AI 要約
日本語
本論文は、政府のエネルギーモデルやシナリオが民間資本を再生可能エネルギーに誘致するための知識インフラとして機能する「認識論的リスク低減」概念を提唱。エネルギー専門家の国際ネットワークのインタビュー・文書分析から、モデルが政策ビジョンの安定性や関係者の合意形成をシグナルし、投資リスク認知を低減することを示す。また、シナリオ出力やプロジェクトパイプラインが競争的金融環境でのマーケティング手段となる点を指摘。
English
This paper introduces the concept of 'epistemic derisking' to describe how government energy models and scenarios serve as knowledge infrastructures to attract private capital for renewable energy. Based on interviews and document analysis of a transnational network of energy modelers, it finds that these models reduce perceived investor risk less through technical content than by signaling long-term policy stability, stakeholder consensus, and institutional capacity. Scenario outputs and project pipelines also function as marketing devices in competitive financing landscapes.
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METIのエネルギー需給見通しや2040年シナリオが民間投資の呼び水として機能する可能性があり、本稿の枠組みはその効果を批判的に検討する際の視座を提供する。
In the global GX context
This study contributes to global debates on green finance by revealing how state-produced energy models shape investor perceptions. It complements work on TCFD/ISSB by highlighting the less visible knowledge infrastructures that underpin transition finance.
👥 読者別の含意
🔬研究者:Introduces the novel concept of epistemic derisking, useful for scholars studying the intersection of energy governance, expertise, and climate finance.
🏢実務担当者:Provides insight into how government energy scenarios signal stability and can be leveraged in financing strategies for renewable projects.
🏛政策担当者:Highlights the dual role of energy models as technical tools and marketing devices, cautioning against over-reliance on private finance for decarbonization.
📄 Abstract（原文）
Over the past decade, governments have increasingly sought to mobilise private capital for expanding renewable sources of energy for the goals of decarbonisation and energy security. While existing research has focused on the financial and regulatory tools that states deploy to reduce investor perceptions of risk, scant attention has been paid to the role of knowledge infrastructures in energy finance. In this article, we address this gap by analysing how government energy models and scenarios are deployed to attract private sector investments for energy infrastructure projects. Using interview data and document analysis centred on a transnational expert network of energy modellers, we examine how government energy planning processes are reconfigured in response to new uncertainties and demands for risk mitigation from private finance. We develop the concept of epistemic derisking to capture how knowledge infrastructures are leveraged by states in efforts to mobilise private capital. Our findings show that energy models and scenarios are leveraged in efforts to reduce perceived risk less through their technical content than by what they signal about long-term stability in policy ‘vision’, consensus among energy systems stakeholders, and institutional capacity to manage change and uncertainty in energy systems. In addition, scenario outputs and project pipelines function as marketing devices within competitive financing landscapes. We explore how epistemic derisking operates within wider struggles over knowledge and authority in global energy governance. The article contributes to debates on green finance, energy futures and expertise, while raising critical questions about the limits of private finance-oriented decarbonisation strategies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1177/0308518x261449499first seen 2026-06-10 04:48:09
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