International Climate Finance, Spatial Spillovers, and Carbon Intensity
国際気候資金、空間的波及効果、炭素強度 (AI 翻訳)
Manuel A. Zambrano‐Monserrate, Luccas Assis Attílio, Gonzalo Hernández Soto
🤖 gxceed AI 要約
日本語
本研究は、128か国パネルデータと動的空間ダービンモデルを用い、国際気候資金がGDP当たりCO2排出量に及ぼす空間的効果を分析。短期的・長期的に負の関連があり、直接効果と間接効果（波及）が確認された。緩和資金の方が適応資金より効果的で、所得グループにより結果が異なる。
English
This study analyzes spatial effects of international climate finance on carbon intensity. Using a dynamic spatial Durbin model on 128 countries (2010-2019), it finds negative direct and indirect effects, with mitigation finance more effective than adaptation finance. Effects vary by income group.
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
日本は主要な気候資金提供国であり、本知見はODAや二国間協力の戦略的配分に示唆を与える。特に、空間的波及効果を考慮すれば、周辺国への間接的削減効果も期待できる。所得層別の分析結果は、低所得国への支援のあり方に再考を促す。
In the global GX context
This paper highlights the often-overlooked spatial dimension of climate finance, showing that funding can reduce emissions beyond recipient countries. It supports coordinated global climate finance strategies and portfolio optimization, with implications for multilateral funds like the Green Climate Fund.
👥 読者別の含意
🔬研究者:Provides robust evidence of spatial spillovers in climate finance, useful for further econometric or policy simulation studies.
🏢実務担当者:Development finance institutions can use these findings to allocate funds considering regional spillover effects.
🏛政策担当者:Suggests that climate finance should target regions with high spillover potential and prioritize mitigation projects.
📄 Abstract（原文）
ABSTRACT Climate finance may influence carbon emissions beyond the countries that receive it. In this regard, this study analyzes the spatial effects of climate finance on CO 2 emissions per unit of GDP, considering both short‐ and long‐run dynamics. Using a balanced panel of 128 countries over 2010–2019 and a dynamic spatial Durbin model, we find a negative and statistically significant association between climate finance and carbon intensity. The results indicate both direct domestic effects and indirect spatial effects, with larger estimates in the long run than in the short run. Portfolio composition also matters. Mitigation finance shows clearer and more systematic associations with lower carbon intensity than adaptation finance. In addition, the results vary across income groups: The estimates are weak in low‐income countries, stronger in lower‐middle‐ and upper‐middle‐income countries, and more concentrated in direct domestic effects among high‐income economies. These findings highlight the spatial dimension of climate finance and show that portfolio composition and country context shape its association with emissions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/bse.71102first seen 2026-06-18 05:43:24
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