Spatiotemporal Coordination and Driving Mechanisms of Green Finance and Green Technology Innovation in China
中国におけるグリーンファイナンスとグリーン技術革新の時空間的協調と駆動メカニズム (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、グリーンファイナンス（GF）とグリーン技術革新（GTI）の結合調整度（CCD）の時空間パターンと駆動要因を分析。CCDは不均衡段階からほぼ均衡段階へ移行しつつあり、東部が西部より高水準で発展。空間的正の相関が高まり、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。
English
Using data from 30 Chinese provinces (2010-2023), this study analyzes the spatiotemporal pattern and driving factors of the coupling coordination degree (CCD) between green finance (GF) and green technology innovation (GTI). The CCD is transitioning from moderate imbalance to near balance, with the east outperforming the west. Positive spatial correlation is increasing, and factors like economic development, financial development, population scale, and urbanization drive CCD. This provides evidence for differentiated regional policies.
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地域間差異を明らかにした本研究は、日本の地域別脱炭素戦略（例：グリーン成長戦略の地域展開）に示唆を与える。ただし、データと政策コンテクストが中国固有であるため、直接応用には調整が必要。
In the global GX context
This paper offers a robust methodological framework (GTWR, spatial kernel density) for analyzing the coupling of green finance and innovation, relevant for global GX policy design. While China-specific, the findings on regional disparities and driving factors can inform similar analyses in other countries, including Japan, where regional decarbonization efforts are underway.
👥 読者別の含意
🔬研究者:Methodologists and spatial econometricians interested in coupling coordination models (CCDM) and GTWR applied to green finance and innovation.
🏛政策担当者:Chinese policymakers can use the differentiated regional insights to tailor green finance and innovation policies. Global policymakers can adopt the analytical approach for domestic GX strategy.
📄 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 investigates the theoretical mechanism of interactive coupling and then employs methods including Dagum Gini coefficient, spatial kernel density estimation, spatial correlation analysis, and a 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 coupling coordination degree (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, and lower levels and slower development in the west”. (2) The 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 this order: intra-regional disparity (Gw) > inter-regional disparity (Gb) > transvariation density (Gt). (3) The CCD between GF and GTI exhibits a positive spatial correlation, and the agglomeration degree is constantly increasing; 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/10.3390/su18021039first seen 2026-05-14 21:44:31
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