Green Finance and Urban–Rural Integration in China: Nonlinear Associations and Spatial Spillovers
中国におけるグリーンファイナンスと都市農村統合：非線形関係と空間的波及効果 (AI 翻訳)
Haoyu Niu, Jianluan Guo
🤖 gxceed AI 要約
日本語
本研究は2013〜2022年の中国30省のパネルデータを用いて、グリーンファイナンスと都市農村統合の関係を分析。結果は正の関連を示し、イノベーション能力や制度要因による非線形効果が確認された。空間的波及効果も有意であり、グリーンファイナンスが近隣地域にも恩恵をもたらすことが示された。SDGs 10および11への含意がある。
English
This study examines the relationship between green finance and urban–rural integration using Chinese provincial panel data (2013-2022). Findings show a positive association, with nonlinear effects moderated by innovation capability and institutional factors. Spatial spillovers indicate green finance benefits neighboring regions. Implications for SDGs 10 and 11.
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
中国を対象とした研究だが、グリーンファイナンスの社会的波及効果に関する知見は日本の地域間格差是正や持続可能な開発にも示唆を与える。特にSDGs 10と11に関連する政策立案に参考となる。
In the global GX context
This paper contributes to the literature on green finance and sustainable development, highlighting spatial spillovers and nonlinear relationships. It informs global discussions on how green finance can support inclusive growth and urban–rural integration, relevant to SDGs and sustainable finance frameworks.
👥 読者別の含意
🔬研究者:Researchers in sustainable finance and regional development may find the spatial econometric approach and nonlinear analysis useful for future studies.
🏢実務担当者:Practitioners in green finance and urban planning can leverage the evidence on spatial spillovers to design regionally coordinated green finance policies.
🏛政策担当者:Policymakers concerned with SDGs 10 and 11 should note the positive spillover effects of green finance across regions, suggesting the need for interregional cooperation.
📄 Abstract（原文）
Narrowing urban–rural disparities and advancing the green transition are two key imperatives for sustainable development, yet the relationship between green finance and urban–rural integration remains insufficiently examined. Using panel data for 30 Chinese provinces from 2013 to 2022, this study investigates how green finance is related to urban–rural integration, with particular attention to nonlinear patterns, institutional conditions, and spatial dependence. The results show a positive association between green finance and urban–rural integration. This result remains stable across alternative specifications and various sensitivity checks, including lagged specifications, the Oster bounds test, and placebo tests. Panel threshold models show stronger evidence of nonlinear heterogeneity for innovation capability, while the rationalization of industrial structure threshold provides only suggestive evidence. Interaction models indicate that the interaction terms involving intellectual property protection intensity and marketization level are positive and statistically significant. Estimates from the spatial Durbin model further show that green finance is associated with significant positive net spatial spillovers across neighboring regions, with the model-based indirect effect exceeding the direct effect as a net spatial association after accounting for negative conditional spatial dependence in urban–rural integration. Overall, this suggests that green finance is relevant not only to environmental objectives but also to coordinated and sustainable urban–rural development, with implications for SDGs 10 and 11.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su18125975first seen 2026-06-16 05:17:53
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