脆弱性から適応へ：再生可能エネルギー開発における気候リスクの制度的・技術的・財政的調整要因
From vulnerability to adaptation: Institutional, technological, and fiscal moderators of climate risk in renewable energy development (原題)
Tong Liu, Rongrong Li, Qiang Wang
🤖 gxceed AI 要約
日本語
2000〜2023年の61カ国パネルデータを用い、気候リスクが再エネ開発に与える影響を固定効果・分位・閾値・パネルVARで分析。気候リスクは一般に再エネ導入を抑制するが、その効果は非対称で、再エネ水準が低い国ほど悪影響が大きい。制度の質、技術革新（特にAI関連）、公共投資が調整要因となり、支援的な環境下では気候リスクが再エネ開発を促進しうることを示す。
English
Using a 61-country panel (2000-2023) with fixed-effects, quantile, threshold, and panel VAR models, this study examines how climate risk affects renewable energy development. Climate risk generally inhibits deployment, but effects are asymmetric—more adverse at low renewable levels. Institutional quality, technological innovation (notably AI), and public investment moderate the direction and magnitude, with supportive environments allowing climate risk to stimulate rather than hinder transition.
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
日本は再エネ導入拡大と気候リスク対応を同時に迫られるが、本稿は制度・技術・財政の条件整備が鍵であることを示す。GX推進やSSBJ開示を通じた適応策・レジリエンス投資の議論に示唆を与える。
In the global GX context
This paper contributes to global transition finance and climate-risk disclosure debates by showing that institutional, technological, and fiscal conditions determine whether climate risk accelerates or delays renewable deployment. It supports ISSB/TCFD-aligned adaptation and resilience narratives for investors.
👥 読者別の含意
🔬研究者:気候リスクと再エネ転換の条件付き関係を実証し、適応能力の役割を定量化した点が参考になる。
🏢実務担当者:再エネ調達や気候リスク管理において、制度・技術・財政の整備状況が投資判断を左右することを示唆。
🏛政策担当者:気候リスク下でも再エネ移行を進めるには、制度の質・技術革新・公共投資の組み合わせが重要。
📄 Abstract（原文）
Understanding how climate risk shapes the trajectory of renewable energy transitions is critical for global sustainability. While existing literature has largely treated climate change as an exogenous shock that undermines renewable energy systems, this study re-examines that premise by investigating whether climate risk can also act as conditional drivers of energy transition, depending on structural conditions. Using a country-level panel of 61 countries from 2000 to 2023, we employ fixed-effects models, quantile regressions, threshold regressions, and panel vector autoregression to assess the heterogeneous and dynamic effects of climate risk on renewable energy development. To mitigate endogeneity, the benchmark estimates are complemented by multiple instrumental-variable strategies, all of which yield negative and statistically significant coefficients on climate risk. The results show that climate risk generally inhibits renewable energy deployment, but the impact is highly asymmetric. The effects are more adverse at lower levels of renewable energy development, while higher levels show weaker adverse effects and adaptive responses in some cases. Threshold analyses further reveal that institutional quality, technological innovation, particularly AI-related advances, and public investment condition the direction and magnitude of climate risk effects. In supportive institutional, technological, and fiscal environments, climate risk can stimulate rather than hinder renewable energy development. By highlighting the conditional nature of climate and energy interactions, this study underscores the importance of system resilience, policy design, and adaptive capacity in managing climate-induced challenges and advancing renewable energy transitions.
🔗 Provenance — このレコードを発見したソース
- primary_source https://doi.org/10.1016/j.rser.2026.117511first seen 2026-09-27 23:54:25
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