Green finance and environmental sustainability: evaluating the role of urbanization, energy, and institutional quality in Asia’s low-carbon transition
グリーンファイナンスと環境持続可能性:アジアの低炭素移行における都市化、エネルギー、制度の質の役割評価 (AI 翻訳)
Qi-hui Wang, Sareer Ahmad, Nigah Zehra
🤖 gxceed AI 要約
日本語
本研究は2000~2022年の22のアジア経済を対象に、グリーンファイナンスがCO2排出に与える影響を固定効果モデルで分析。結果、グリーンファイナンスはCO2排出と負の関係(係数-0.0107)を示し、1%の増加が排出量を0.0107%削減。人口密度も負の効果(-0.5373)を示した。政策としてグリーンファイナンス促進を提言。
English
This study analyzes the impact of green finance on CO2 emissions using panel data from 22 Asian economies (2000-2022). Fixed-effects results show a negative association: a 1% increase in green finance reduces emissions by 0.0107%. Population density also has a negative effect. Policy implications suggest promoting green finance for low-carbon transition.
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
日本を含むアジア諸国を対象とした実証研究であり、グリーンファイナンスの有効性を示すエビデンスとして、日本の政策立案や企業のグリーン投資戦略に示唆を与える。
In the global GX context
This paper provides empirical evidence from across Asia on the effectiveness of green finance in reducing emissions, relevant to global debates on climate finance and sustainable investment in emerging markets.
👥 読者別の含意
🔬研究者:Provides empirical evidence using panel data on the link between green finance and CO2 emissions in Asia.
🏛政策担当者:Suggests that green finance initiatives can effectively reduce CO2 emissions, supporting low-carbon transition policies.
📄 Abstract(原文)
Asia is a fast-growing emerging market with investment potential, making it essential to investigate the mechanisms by which green finance influences environmental sustainability. For the empirical analysis using data from 2000 to 2022 on twenty-two Asian economies, we applied the fixed- and random-effects model. First, we have verified the model’s feasibility and employed diagnostic tests and robustness, which show that the model is appropriate. The key findings of the fixed effect model, suggested by the Hausman test, indicate that there is a negative association between Green Finance and CO2 emissions. The green finance coefficient is − 0.0107, which implies that a 1% increase in green finance leads to a reduction in carbon emissions by 0.0107%. Likewise, population density exhibits a negative relationship with CO2 emissions. The coefficient of population density is − 0.5373, implying that a 1% increase in population density diminishes carbon emissions by 0.5373%, which supports the ecological efficiency theory. The Causality test shows unidirectional causality among the variables. Based on evidence, this study suggests that policymakers of the Asian economies should focus on green finance initiatives to support environmentally sustainable investments, which leads to a decline in CO₂ emissions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1038/s41598-026-46502-0first seen 2026-06-05 05:36:21
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