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CORPORATE TREASURY OPTIMIZATION AND DEBT SUSTAINABILITY STRATEGIES IN SAUDI INDUSTRIAL SECTORS UNDER VISION 2030

ビジョン2030下のサウジ産業部門におけるコーポレート・トレジャリー最適化と債務持続可能性戦略 (AI 翻訳)

Adel Gueblaoui

Veredas do Direito📚 査読済 / ジャーナル2026-08-03#トランジション・ファイナンス経営インパクト: 資金調達対象セクター: cross_sector
DOI: 10.18623/rvd.v23.6915
原典: https://revista.domhelder.edu.br/index.php/veredas/article/download/6915/29006
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🤖 gxceed AI 要約

日本語

サウジアラビアのビジョン2030下で、産業企業のトレジャリー機能を高度化し、債務持続可能性を確保するためのフレームワークを提案。石油化学、エネルギー集約型製造、鉱業などに焦点を当て、キャッシュ可視化、債務満期管理、サステナビリティ連動融資などを通じて財務レジリエンスを強化する。4段階（診断、最適化、資金調達、持続）の枠組みを示す。

English

This review proposes a corporate treasury optimization and debt sustainability framework for Saudi industrial sectors under Vision 2030, focusing on petrochemicals, energy-intensive manufacturing, mining, and logistics. It emphasizes cash visibility, debt maturity management, sukuk access, hedging, and sustainability-linked financing to enhance financial resilience. The framework is structured in four phases: Diagnose, Optimize, Finance, and Sustain, linking treasury practices to non-oil investment and sustainable industrial growth.

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

日本企業にとって、サウジのビジョン2030に基づく産業多角化とエネルギー転換は、現地進出やサプライチェーン構築の機会となる。本稿の財務・債務管理の枠組みは、日本企業がサウジ市場で事業展開する際の財務戦略立案に参考になる。

In the global GX context

This paper contributes to global transition finance literature by linking corporate treasury practices to national industrial transformation and sustainability goals. It offers a framework that can be adapted to other emerging markets pursuing energy transition and economic diversification, complementing ISSB and sustainability-linked finance standards.

👥 読者別の含意

🔬研究者:Provides a structured framework for analyzing corporate debt sustainability in the context of national industrial transformation and energy transition.

🏢実務担当者:Offers practical guidance for treasury teams in industrial sectors on optimizing liquidity, funding, and risk management to support sustainability goals.

🏛政策担当者:Highlights the importance of financial governance in achieving national industrial and energy transition objectives, relevant for policy design.

📄 Abstract（原文）

Saudi Arabia’s industrial transformation under Vision 2030 is changing the financial responsibilities of industrial firms. Large capital programs, localization targets, export development, energy transition commitments, supply-chain expansion, and deeper domestic capital markets require corporate treasury functions to move beyond transactional cash administration toward integrated liquidity, funding, risk, and governance leadership. This review develops a corporate treasury optimization and debt sustainability framework for Saudi industrial sectors, with attention to petrochemicals, energy-intensive manufacturing, mining, logistics-linked production, food processing, and advanced materials. A structured narrative review of policy reports, market sources, treasury surveys, sustainability-finance standards, and relevant finance literature published mainly between 2020 and 2026 is used to identify how cash visibility, working-capital release, debt maturity management, sukuk and bond market access, hedging discipline, sustainability-linked financing, and data-enabled decision systems can support financial resilience. The paper argues that firm-level debt sustainability is not a single leverage ratio; it is a governance condition in which borrowing maturity, currency exposure, profit-rate risk, liquidity runway, project cash-flow certainty, covenant discipline, and capital-allocation quality remain consistent with long-term industrial competitiveness. The proposed framework is organized around four phases: Diagnose, Optimize, Finance, and Sustain. It links treasury practices to Vision 2030 outcomes by showing how disciplined financial management can strengthen non-oil investment, investor confidence, local supply chains, private-sector productivity, and sustainable industrial growth.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。