ESGフレームワークにおけるグリーンファイナンス手法と金融連動型環境移行メカニズムの順位付け:サウジアラビア石油化学産業からの実証的証拠
Ranking green finance instruments and finance-linked environmental transition mechanisms within the environmental, social, and governance (ESG) framework: Empirical evidence from Saudi Arabia's petrochemical industry (原題)
Muhammad Tayyab, Hesham Jamil Merdad, Igor Barahona, Mohammed A. AlKhars
🤖 gxceed AI 要約
日本語
サウジアラビアの石油化学産業を対象に、4つのグリーンファイナンス手法と2つの金融連動型移行メカニズムをESG3次元・15副基準で評価。ANPとファジィTOPSISの二段階MCDMで順位付けした。環境次元が最優先で、グリーン税制が首位、次いでグリーンクレジット、投資家リスク緩和策となった。透明なガバナンスと信頼性ある開示がグリーンボンドや排出量取引の有効性を左右すると結論づける。
English
This study ranks four green finance instruments and two finance-linked transition mechanisms for Saudi Arabia's petrochemical industry using a two-stage ANP–fuzzy TOPSIS MCDM framework across three ESG dimensions and 15 sub-criteria. The Environmental dimension ranks highest, and green tax policies lead, followed by green credit and investor risk mitigation. Findings stress that transparent governance and credible sustainability reporting determine the effectiveness of green bonds and emissions trading.
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
産油国・高エネルギー集約産業におけるグリーンファイナンスの優先順位付けは、日本の重化学工業やGX経済移行債の設計、SSBJ開示と親和的な論点を提供する。炭素税・優遇融資・ブレンドファイナンスの比較は国内政策議論の参照材料となる。
In the global GX context
The paper speaks directly to global transition-finance debates—how carbon pricing, concessional lending, and blended finance interact with ISSB/TCFD-grade disclosure to decarbonize hard-to-abate industry. It adds a Gulf/emerging-market perspective to disclosure scholarship largely dominated by EU and Japanese cases.
👥 読者別の含意
🔬研究者:MCDMを用いたグリーンファイナンス優先順位付けの手法とESG基準設計の実例として参照できる。
🏢実務担当者:炭素税・優遇融資・グリーンボンドの相対的有効性を踏まえ、移行資金調達と開示整備の優先順位を検討できる。
🏛政策担当者:炭素税と優遇融資の組合せが産業脱炭素とコスト平準化を両立しうる点を政策設計に活用できる。
📄 Abstract(原文)
The petrochemical industry faces increasing pressure to decarbonize due to its high energy intensity, carbon emissions, and environmental footprint. This study evaluates and ranks green finance instruments and finance-linked environmental transition mechanisms within the Environmental, Social, and Governance (ESG) framework to identify the highest-ranked mechanisms for supporting the sustainable transition of Saudi Arabia's petrochemical industry. A two-stage multi-criteria decision-making (MCDM) framework integrating the Analytic Network Process (ANP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed to assess six alternatives comprising four green finance instruments and two finance-linked environmental transition mechanisms against three ESG dimensions and fifteen industry-specific sub-criteria. The results show that the Environmental dimension carries the highest priority, followed by Governance and Social, highlighting the importance of measurable environmental outcomes supported by robust governance structures. Among the evaluated alternatives, green tax policies ranked first, followed by green credit mechanisms and investor risk mitigation instruments. The findings suggest that progressive environmental taxation, preferential green lending, and blended-finance mechanisms are better positioned to support industrial decarbonization while limiting abrupt cost pressures during the transition. Furthermore, the effectiveness of green bonds and emission trading systems depends on transparent governance, regulatory compliance, and credible sustainability reporting frameworks. This study provides policy insights for aligning industrial finance with Saudi Vision 2030, the Saudi Green Initiative, and the Kingdom's 2060 net-zero target, while offering a practical decision-support framework for prioritizing sustainable finance in energy-intensive industries.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.jclepro.2026.149692first seen 2026-10-23 05:11:29 · last seen 2026-11-06 04:45:22
- scopus https://api.elsevier.com/content/abstract/scopus_id/105054009170first seen 2026-10-26 05:36:43 · last seen 2026-11-06 05:57:01
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
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。