すべての潮が船を持ち上げるわけではない：不確実性指標の情報性の境界
Not All Tides Lift the Boat: Boundary of Informativeness of Uncertainty Indices (原題)
Kingsley E. Dogah, Hao Lan, Guimin Yao, Sheng Zhao
🤖 gxceed AI 要約
日本語
本論文は、パネル閾値モデルを用いて、不確実性指標（UI）が再生可能エネルギー（RE）導入に影響を与える閾値を特定する。低不確実性の状態ではUIとエネルギー転換の負の関係が有意であるが、高不確実性の状態では予測力が失われることを示す。リスク選好、情報過負荷、優先関心理論が閾値効果を説明する。政策立案者に対し、不確実性が閾値を超えた際の先行的な投資の重要性を示唆する。
English
This paper identifies thresholds where uncertainty indices (UIs) become informative for renewable energy (RE) adoption using panel threshold models. The negative relationship between UIs and energy transition is significant only in low-uncertainty regimes, losing predictive power in high-uncertainty regimes. Channel analyses reveal risk preference, information overload, and priority concern theories explain threshold effects. Offers actionable insights for policymakers to design preemptive risk triggers and frontload clean energy investments.
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
日本のエネルギー転換政策（例：GX推進戦略）において、不確実性が高い局面での投資停滞を防ぐための政策設計に示唆を与える。特に、再生可能エネルギー導入目標の達成に向け、不確実性の閾値を考慮したリスク管理の重要性を強調。
In the global GX context
Globally, this paper contributes to understanding how uncertainty affects renewable energy investment, relevant for climate policy design under volatile conditions. It provides empirical evidence for the conditional effectiveness of uncertainty indices, informing international frameworks like the Paris Agreement and national transition strategies.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the nonlinear relationship between uncertainty and renewable energy adoption, useful for further research on energy transition dynamics.
🏢実務担当者:Highlights the importance of monitoring uncertainty levels to time investments in clean energy projects, aiding corporate strategy under volatile conditions.
🏛政策担当者:Suggests designing preemptive risk triggers and frontloading investments when uncertainty crosses critical thresholds to safeguard green transition pathways.
📄 Abstract（原文）
In this article, we model the endogenous boundary of informativeness of uncertainty indices (UIs) using a panel threshold framework, employing both static LS and dynamic system-GMM specifications, and gauge the predictive power of these thresholds on economic outcomes. Specifically, we identified critical thresholds where UI shifts from background noise (uninformative) to a decisive factor (informative) in renewable energy (RE) adoption decisions. We find that the negative relationship between the UIs and energy transition is only significant and identified in the regime where uncertainty is relatively low, whereas the prediction power fails (becomes insignificant) in the high-uncertainty regimes. This suggests that the informational utility of UIs in driving (or forecasting) RE adoption operates conditionally upon moderate uncertainty levels. To explain the heterogeneous informativeness of UIs and validate the variations in our identified thresholds, we further conduct channel analyses. Relying on theoretical frameworks from risk literature, we show that risk preference, information overload, and priority concern theories can explain the level of threshold effects (informativeness) of UIs on economic outcomes. These findings provide an actionable insight for policymakers towards designing preemptive risk triggers when uncertainty crosses a critical threshold by frontloading investment activities in clean energy technologies to safeguard green energy transition pathways from headwinds of uncertainties.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1111/risa.70335first seen 2026-08-22 05:08:59
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