Language and Lock-In A Critical Discourse Analysis of CCUS Policy Persistence.
言語とロックイン：CCUS政策持続性の批判的言説分析 (AI 翻訳)
Perazich, Milan
🤖 gxceed AI 要約
日本語
本論文は、CCUSプロジェクトが性能目標を達成できないにもかかわらず、政策と投資が持続するメカニズムを解明する。23の商業規模プロジェクトのデータセット、モンテカルロシミュレーション、米国・英国・ノルウェーの政策言説分析を組み合わせ、「障害診断フレームワーク」と「期待吸収ループ」という2つの分析枠組みを提案する。
English
This paper investigates why CCUS projects continue to receive policy support and funding despite consistent underperformance. It combines a global dataset of 23 commercial-scale projects, a Monte Carlo opportunity-cost simulation, and critical discourse analysis of US, UK, and Norway documents to develop two original frameworks: the Obstruction Diagnostics Framework and the Expectation-Absorption Loop.
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
日本は水素・アンモニア供給や火力発電の脱炭素化においてCCUSに期待を寄せる。本論文は、CCUS政策が実績不足にもかかわらず持続するリスクを示唆し、日本の戦略設計に教訓を提供する。
In the global GX context
This paper is globally relevant as CCUS is a key technology in net-zero pathways and transition finance. It exposes how policy lock-in can sustain underperforming technologies, offering critical insights for investors, regulators, and companies relying on CCUS to meet climate targets.
👥 読者別の含意
🔬研究者:The Obstruction Diagnostics Framework and Expectation-Absorption Loop are novel analytical tools for studying technology policy persistence; the open dataset enables replication.
🏢実務担当者:Provides a lens to critically evaluate CCUS project claims and assess investment risk of lock-in to underperforming technologies.
🏛政策担当者:Highlights the need for adaptive policies that can correct course when CCUS underperforms, rather than reinforcing commitments.
📄 Abstract（原文）
Why do governments and investors keep funding carbon capture technologies that consistently fall short of their promised performance? This repository contains the reproducible materials behind an MSc dissertation that examines this question through a study of 23 commercial-scale carbon capture, utilisation and storage (CCUS) projects and the policy discourse that surrounds them. Combining a global project performance dataset, a Monte Carlo opportunity-cost simulation, and a critical discourse analysis of 15 government and industry documents from the US, UK and Norway, the dissertation develops two original analytical contributions: the Obstruction Diagnostics Framework , which translates reassuring project language into testable performance claims, and the Expectation-Absorption Loop , which explains how documented underperformance is metabolised into renewed institutional commitment rather than correction. All files in this archive — performance dataset, coded discourse corpus, codebook, NVivo node hierarchy, Monte Carlo simulation code and outputs, sensitivity assumptions, and the dissertation itself, are provided so that every figure and statistic in the dissertation can be independently traced, audited and reused.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20655572first seen 2026-06-13 04:16:30
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