気候脆弱経済におけるSDG整合型水資源持続可能性の達成：南アフリカからの実証
Achieving SDG ‐Aligned Water Sustainability in a Climate‐Vulnerable Economy: Evidence From South Africa (原題)
Büşra Ağan
🤖 gxceed AI 要約
日本語
南アフリカを対象に2000〜2025年の気候脆弱性・イノベーション・再生可能エネルギー消費・政府安定性と水ストレスの非線形関係を分析。分位点回帰（QQR/QQKRLS/WQR/QQGC）を用い、関係の方向・強度が分位点ごとに異なることを示す。気候レジリエンス・技術革新・再エネ転換・政治安定を統合した水政策の必要性を提起し、SDG6・7・9・13・16に貢献する。
English
This study examines nonlinear links between climate vulnerability, innovation, renewable energy, government stability and water stress in South Africa (2000–2025) using quantile-on-quantile and wavelet quantile methods. Relationships vary substantially across quantiles, and lower withdrawal ratios do not necessarily mean better water security. It argues for integrating climate resilience, innovation, renewables and governance in water policy, supporting SDGs 6, 7, 9, 13 and 16.
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
水資源リスクは日本企業のサプライチェーン・事業所リスク評価やTCFD水関連開示の文脈で参照価値があるが、本論文は南アフリカ固有の実証で日本のSSBJ・有報対応への直接示唆は限定的。
In the global GX context
Water stress is an emerging physical-risk category under TCFD/ISSB and CSRD water disclosures; this paper's quantile evidence from a climate-vulnerable economy adds empirical nuance on how innovation, renewables and governance interact with water risk, though it does not address disclosure frameworks directly.
👥 読者別の含意
🔬研究者:分位点手法による水ストレスと気候脆弱性の非線形関係の実証例として参照可能。
🏢実務担当者:水リスクの物理的影響評価やTCFD水関連開示の背景理解に限定的に有用。
🏛政策担当者:水政策に再エネ・イノベーション・ガバナンスを統合する必要性を示す参考事例。
📄 Abstract（原文）
ABSTRACT Water sustainability has become a central prerequisite for achieving sustainable development in climate‐vulnerable economies, where increasing climatic pressures threaten environmental resilience and long‐term resource security. This study examines the nonlinear relationships between climate vulnerability, innovation, renewable energy consumption, government stability, and water stress in South Africa over the period 2000–2025. To capture heterogeneous and asymmetric relationships, the analysis employs Quantile‐on‐Quantile Regression (QQR), complemented by Quantile‐on‐Quantile Kernel Regularized Least Squares (QQKRLS), Wavelet Quantile Regression (WQR), and Quantile‐on‐Quantile Granger Causality (QQGC) analyses. The findings reveal substantial distributional heterogeneity across regimes. Climate vulnerability generally shows negative associations with measured water stress, although lower withdrawal ratios do not necessarily indicate improved water security. Innovation is associated with lower water stress in several quantile regions. Renewable energy and government stability also show negative associations with water stress in some regions, but the direction, magnitude, and significance of these relationships vary across quantiles. The complementary analyses provide further evidence of heterogeneity, while QQGC identifies quantile‐specific predictive relationships. The results highlight the relevance of considering climate resilience, technological innovation, renewable energy transition, and government stability together in water policy. These findings offer exploratory insights for advancing SDGs 6, 7, 9, 13, and 16 in South Africa.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/sd.71801first seen 2026-11-08 04:43:59 · last seen 2026-11-14 04:43:43
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