Promoting Urban Renewable Energy Utilization Through Green Finance: Mechanisms, Consequences and Sustainable Strategies
グリーンファイナンスによる都市再生可能エネルギー利用の促進：メカニズム、結果、持続可能な戦略 (AI 翻訳)
Fengqian Chen, XJ Huang, Hanchen Xie
🤖 gxceed AI 要約
日本語
本研究は2010-2021年の中国271都市のパネルデータを用いて、グリーンファイナンス(GF)が再生可能エネルギー利用(RE)を促進する効果を分析。固定効果モデル、空間ダービンモデル、HSARモデルを適用した結果、GFはREを有意に促進し、正の空間スピルオーバー効果を持つ。研究開発投資と環境規制が主要な伝達経路であり、地域差が存在。さらに、GFは従来のエネルギー強度削減、グリーン全要素生産性向上、極端気候緩和に寄与し、空間的に差別化された政策戦略を提案している。
English
Using a panel of 271 Chinese cities (2010-2021), this study finds green finance significantly promotes renewable energy utilization with positive spatial spillovers. R&D investment and environmental regulation are key mechanisms. Green finance also reduces energy intensity, improves green productivity, and mitigates extreme climate events. The findings suggest spatially differentiated policy strategies for energy 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
本論文は中国のグリーンファイナンスと再生可能エネルギーの連携を実証。日本でもグリーンファイナンス推進と再エネ導入の政策統合が進む中、空間的波及効果や地域差別化の視点は参考になる。
In the global GX context
This paper provides empirical evidence on how green finance can promote renewable energy, using spatial econometric methods. The findings on spatial spillovers and regional heterogeneity are relevant for designing effective green finance policies globally, especially in countries with regional disparities.
👥 読者別の含意
🔬研究者:Empirical evidence on green finance-renewable energy nexus with spatial spillover analysis using Chinese city-level data.
🏢実務担当者:Insights on leveraging green finance to boost renewable energy adoption, with implications for regional policy and investment.
🏛政策担当者:The study suggests spatially differentiated green finance policies to maximize renewable energy utilization and reduce extreme climate risks.
📄 Abstract（原文）
Under the “dual carbon” targets, using green finance to support renewable energy use is an important way to reduce extreme climate risks. This study builds a balanced panel dataset of 271 Chinese cities from 2010 to 2021. We measured the level of Green Finance (GF) and renewable energy utilization (RE). Employing two-way fixed effects, the Spatial Durbin Model (SDM), and the Heterogeneous Spatial Autoregressive (HSAR) model, we systematically examine the promoting effects, transmission mechanisms, spatial heterogeneity, and economic–environmental consequences of GF on RE. The empirical results reveal that GF significantly enhances RE and generates pronounced positive spatial spillovers. Mechanism analysis indicates that R&D investment and environmental regulation serve as the primary transmission channels. The promotion effect is more pronounced in the eastern and central regions, as well as in areas with higher R&D investment and stricter environmental regulation, whereas the spatial spillover effect is particularly evident in coastal regions. Further consequence analysis demonstrates that GF contributes to reducing conventional energy intensity, improving green total factor productivity, and alleviating extreme climate events. Building on these findings, this study proposes spatially differentiated and sustainability-oriented policy strategies to advance China’s energy transition and foster coordinated economic and environmental sustainability.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18136474first seen 2026-07-10 05:30:12
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