Impact of Green Finance on Regional Total Factor Productivity
グリーンファイナンスが地域の全要素生産性に与える影響 (AI 翻訳)
Qisong Wang, Shangjun Li, Yajie Han
🤖 gxceed AI 要約
日本語
本研究は、中国広東省の21の都市パネルデータ（2000-2019年）を用いて、グリーンファイナンス発展指数（GF）と全要素生産性変化（TFPC）を計測し、グリーンファイナンスが生産性に与える影響を分析した。結果、グリーンファイナンスは技術的・規模効率を制限する一方、技術進歩と資源配分効率を有意に向上させる複雑な効果を持つことが示された。
English
Using panel data from 21 prefecture-level cities in Guangdong, China (2000-2019), this study constructs a Green Finance Development Index and measures Total Factor Productivity Change. It finds that green finance has complex, multidimensional effects: it limits technical and scale efficiency but significantly enhances technological progress and resource allocation efficiency.
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
中国のグリーンファイナンス政策の効果を実証する研究。日本の地域金融機関や政策立案者にとって、グリーンファイナンスの経済効果を評価する際の参考事例となる。
In the global GX context
This empirical study on green finance's impact on total factor productivity offers evidence from a Chinese provincial context, contributing to global understanding of how green finance affects economic efficiency and technological progress.
👥 読者別の含意
🔬研究者:Provides an econometric approach using entropy method and SFA to analyze green finance's impact on productivity decomposition.
🏢実務担当者:Offers insights for financial institutions on how green finance may affect firm performance through efficiency channels.
🏛政策担当者:Highlights the dual effects of green finance on productivity components, informing policy design for green financial systems.
📄 Abstract（原文）
Guided by the dual carbon goals of peaking emissions and achieving carbon neutrality, Guangdong Province, as the vanguard of China's reform and opening-up, offers valuable green finance development experiences that are of reference significance for South China and nationwide. Utilizing panel data from 21 prefecture-level cities in Guangdong (2000-2019), this study employs the entropy method and stochastic frontier analysis (SFA) to calculate a city-level Green Finance Development Index (GF) and Total Factor Productivity Change (TFPC). A two-way fixed effects panel model is then applied to empirically analyze the impact mechanisms of green finance on regional productivity. By decomposing total factor productivity into technological progress (TC), technical efficiency change (TEC), scale efficiency change (SC), and allocative efficiency change (AEC), the research delves into the operational pathways of green finance. Results show its complex, multidimensional effects: while it limits technical and scale efficiency, it significantly enhances technological progress and resource allocation efficiency.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.62177/apemr.v3i3.1323first seen 2026-05-14 23:20:33
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