Spatiotemporal Evolution and Driving Mechanism of Coupling Coordination Between Green Finance and Green Technology Innovation: Evidence from 30 Provinces in China
グリーンファイナンスとグリーン技術イノベーションの結合協調の時空間的進化と駆動メカニズム：中国30省からのエビデンス (AI 翻訳)
Meiqi Chen, Hyukku Lee, Rongyu Pei
🤖 gxceed AI 要約
日本語
本研究は、2010～2023年の中国30省のデータを用いて、グリーンファイナンス（GF）とグリーン技術イノベーション（GTI）の結合協調度（CCD）の時空間パターンと駆動要因を分析。CCDは東部で高く西部で低い空間的不均衡が拡大しており、経済発展、金融発展、人口規模、都市化がCCDを促進することを明らかにした。中国の地域別政策立案に科学的根拠を提供する。
English
Using panel data from 30 Chinese provinces (2010-2023), this study analyzes the coupling coordination degree (CCD) between green finance (GF) and green technology innovation (GTI). Results show a widening spatial imbalance (higher in east, lower in west), with economic development, financial development, population scale, and urbanization as key drivers. Provides scientific basis for differentiated regional policies in China.
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と技術革新の連携を実証分析した研究。日本のGX政策（GX実現に向けた基本方針等）においても、金融と技術の相乗効果を考慮する際の参考となるが、中国特有の制度・地域格差を考慮する必要がある。
In the global GX context
This paper offers empirical evidence on the synergy between green finance and green technology innovation, relevant to global discussions on transition finance and green industrial policy. While China-specific, its spatiotemporal methodology and findings on regional disparities can inform similar analyses in other countries.
👥 読者別の含意
🔬研究者:Provides a novel spatiotemporal analysis framework (GTWR, Dagum Gini) for studying green finance-innovation coupling, applicable to other regions.
🏢実務担当者:Highlights the importance of aligning green finance instruments with regional innovation capacities for effective decarbonization.
🏛政策担当者:Offers evidence for designing region-specific green finance policies to promote green technology innovation, especially in developing countries.
📄 Abstract（原文）
Promoting the synergistic development of green finance (GF) and green technology innovation (GTI) is crucial for achieving sustainable economic development. Based on the sample data of 30 provinces in China from 2010 to 2023, this study first sorts out the theoretical mechanism of interactive coupling, and then employs methods including Dagum Gini coefficient, spatial kernel density estimation, spatial correlation analysis, and GTWR model to explore the spatiotemporal pattern, evolution trend, and driving factors of the coupling coordination between GF and GTI. The findings are as follows: (1) The CCD is about to transition from the moderate imbalance stage to the near imbalance stage, presenting a distinct spatial pattern of "higher levels and faster development in the east, while lower levels and slower development in the west". (2) Gini coefficient of the CCD shows an upward trend, with the degree of imbalance increasing year by year; the main sources of the overall differences follow the order: Gw > Gb > Gt. (3) The CCD between GF and GTI exhibits a positive spatial correlation, and the agglomeration degree is constantly strengthening; the High-High Cluster areas are mainly concentrated in northern China. (4) Economic development level, financial development level, population scale, and urbanization level drive the coupling coordination between GF and GTI. This study provides new theoretical and empirical evidence for the complex coupling relationship and driving factors of GF and GTI, and offers a key scientific basis for the Chinese government to formulate differentiated regional policies, thereby promoting the effective implementation of the green and low-carbon development strategy.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.20944/preprints202511.1903.v1first seen 2026-05-05 19:07:33
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