炭素移行リスク管理のための部門別グリーンファイナンス閾値:マレーシアの証拠を用いた産業連関ネットワークアプローチ
Sectoral green finance thresholds for managing carbon transition risks: an input–output network approach with evidence from Malaysia (原題)
Ali Faridzad, Nivakan Sritharan
🤖 gxceed AI 要約
日本語
マレーシアの2050年ネットゼロ目標に向け、産業連関モデルと炭素強度・HEC指標を用いて部門別のグリーンファイナンス必要額を推定。電気・光学機器がシステム上重要、電力・ガス・水道が高炭素強度と判明。サービス部門は移行リスクが低い。静的一期間モデルに基づく指標値として、政策議論への示唆を提供。
English
This study develops a sectoral input-output framework integrating carbon intensity and Hypothetical Extraction Centrality to estimate indicative green finance thresholds for Malaysia's net-zero transition. Electrical and optical equipment emerges as systemically important, while utilities show high carbon intensity. Findings highlight concentrated financing needs and offer a scalable approach for emerging economies, though estimates are static model-based benchmarks.
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
日本ではSSBJ開示やトランジション・ファイナンスの実践が進むが、部門別の資金配分の考え方は参考になる。特に産業連関を考慮した体系的な評価手法は、日本のサプライチェーン排出量削減や投融資判断に示唆を与える。
In the global GX context
This paper contributes to global transition finance scholarship by proposing a network-based method to identify sectoral green finance needs, relevant for ISSB-aligned disclosure and transition planning. It offers a replicable framework for emerging economies and complements TCFD/ISSB guidance on climate risk management.
👥 読者別の含意
🔬研究者:Provides a novel input-output network approach integrating carbon intensity and systemic importance for sectoral green finance allocation.
🏢実務担当者:Offers a benchmark for identifying priority sectors for green investment and transition risk assessment.
🏛政策担当者:Informs sector-specific green finance policy design and net-zero transition strategies.
📄 Abstract(原文)
Abstract Green finance is an important instrument for supporting low-carbon transitions; however, its effectiveness depends on targeted allocation that balances emission reduction with economic stability. In Malaysia, which has committed to achieving net-zero emissions by 2050, the sectoral distribution of green finance remains uncertain, particularly given complex inter-industry linkages. This study addresses this issue by developing a sectoral input–output framework to estimate indicative green finance thresholds associated with managing carbon transition risks. The approach integrates carbon intensity (CI) and Hypothetical Extraction Centrality (HEC) to capture environmental exposure and systemic importance across the national production network. The results suggest that implied green finance needs are concentrated in a limited number of sectors. Electrical and optical equipment emerges as a systemically important sector, while electricity, gas, and water supply show high carbon intensity. Additional sectors, including coke, refined petroleum and nuclear fuel, wholesale and retail trade, and basic and fabricated metals, are associated with relatively higher estimated financing levels. In contrast, service-oriented sectors appear to exhibit lower transition risks. Overall, the findings highlight how scenario-based, sector-specific allocation can provide insights into potential pathways for reducing emissions while maintaining macroeconomic stability. However, these estimates are best understood as indicative, model-based benchmarks that reflect the structural assumptions of a static, one-period input–output framework. The study offers a scalable analytical approach that may help inform green finance discussions in Malaysia and other emerging economies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s44498-026-00160-7first seen 2026-08-27 04:59:43
- semanticscholar https://link.springer.com/content/pdf/10.1007/s44498-026-00160-7.pdffirst seen 2026-08-30 05:08:13 · last seen 2026-09-22 04:57:03
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