The Dynamics of the Policy Mix and Sectoral Gaps in South Korea's Decarbonization Transition
韓国における脱炭素移行の政策ミックスのダイナミクスとセクター別ギャップ (AI 翻訳)
Yong Hwan Kim, Kyung Nam Kim
🤖 gxceed AI 要約
日本語
本論文は、動的相互相関関数を用いて韓国の脱炭素政策ミックスを3セクター（産業、運輸、住宅・建築）で分析。2000～2022年のデータから、上流の政策投入は特許創出を促すが実装に結びつかず「革新の幻想」を生むことを発見。運輸・住宅部門では政策が物理的慣性に追随する逆因果が観察され、20年にわたり炭素ロックインが持続。政策の動的シーケンスへの転換を提唱。
English
Using a dynamic cross-correlation function, this paper analyzes South Korea's decarbonization policy mix across industry, transport, and residential sectors (2000-2022). It reveals that upstream policy inputs create an 'illusion of innovation'—patents increase but fail to translate into deployment. Transport and residential sectors show negative lags, indicating policies react to rather than lead physical inertia. Carbon lock-in persists over two decades, calling for a shift from static policy combinations to dynamic sequencing.
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
韓国事例だが、日本でも政策ミックスの時間的整合性が課題。特に、特許件数などのアウトプット指標に過度に依存せず、物理的な導入進捗を重視する動的評価の必要性を示唆。SSBJやGX基本方針の進捗管理に応用可能。
In the global GX context
This paper introduces a novel dynamic method to assess policy mix effectiveness over time, relevant for global transition finance and disclosure frameworks that require evidence of real-economy decarbonization. It challenges static policy evaluations common in TCFD/ISSB disclosures and emphasizes temporal alignment of interventions.
👥 読者別の含意
🔬研究者:The dynamic cross-correlation method offers a new way to empirically evaluate policy mix effectiveness across sectors and time, addressing temporal inertia.
🏢実務担当者:Corporate sustainability teams can use the finding that technology-push policies without demand-pull may fail to achieve deployment, informing investment and disclosure strategies.
🏛政策担当者:Policymakers should design policies as dynamic sequences tailored to sectoral physical inertia, moving beyond static patent counts to deployment metrics.
📄 Abstract（原文）
ABSTRACT While a coherent policy mix is a fundamental prerequisite for successful energy transitions, existing frameworks predominantly rely on static evaluations. This horizontal approach fails to capture the deep temporal dynamics and physical inertia inherent in socio‐technical regime shifts. To address this gap, we conceptualize a five‐stage dynamic policy chain and track South Korea's macro‐systemic transition trajectory (2000–2022) across three key sectors (industrial, transport, and residential/building) using a dynamic cross‐correlation function (CCF). Here we demonstrate that South Korea's upstream policy inputs suffer from severe structural friction, creating an “illusion of innovation.” Although technology‐push policies induce simultaneous patent generation, these intangible outputs fail to translate into downstream physical deployment. Rather, actual deployment stages reveal highly divergent temporal trajectories. Notably, the transport and residential/building sectors exhibit substantial negative lags and reverse causality, revealing that rigid physical inertia forces policies to merely react rather than lead. Consequently, the mechanical tautology between expanding energy demand and carbon emissions remains unbroken over two decades, illustrating how deeply entrenched the carbon lock‐in remains. To dismantle these structural bottlenecks, policymakers must shift from static policy combinations to “dynamic sequencing”—precisely orchestrating the timing of interventions to match the distinct paces of different sectors.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1002/eet.70097first seen 2026-05-14 22:14:59
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