Exploring the Relationship Between Green Finance and Carbon Productivity: The Mediating Role of Technological Progress Bias
グリーンファイナンスと炭素生産性の関係：技術進歩バイアスの媒介的役割の探求 (AI 翻訳)
Dianwu Wang, Zina Yu, Haiying Liu, Xianzhe Cai, Zhiqun Zhang
🤖 gxceed AI 要約
日本語
本研究は2006年から2020年までの中国30省のデータを用い、グリーンファイナンスが炭素生産性に与える影響と、要素バイアス的技術進歩による媒介メカニズムを分析。結果、グリーンファイナンスは周辺地域の炭素生産性に波及効果を持ち、資本・エネルギー偏好的技術進歩が媒介効果を示す。地域別では中部・東北部で効果が顕著。
English
This study uses panel data from 30 Chinese provinces (2006-2020) to examine how green finance affects carbon productivity and the mediating role of factor-biased technological progress. Results show significant spatial spillover effects of green finance on carbon productivity, with capital-biased and energy-biased technological progress acting as mediators. Regional heterogeneity reveals stronger effects in Central and Northeastern 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政策と炭素生産性の関係を実証。日本ではグリーンファイナンスの効果検証や地域間波及効果の分析に示唆を与えるが、直接的な政策連動は限定的。
In the global GX context
This paper provides empirical evidence on green finance's impact on carbon productivity in China, highlighting spatial spillovers and technological progress channels. While China-specific, it offers insights for global green finance research and policy design, particularly regarding regional heterogeneity and factor allocation.
👥 読者別の含意
🔬研究者:Provides empirical evidence on green finance-carbon productivity nexus with spatial and mediation analysis, useful for researchers studying green finance effectiveness.
🏢実務担当者:Offers insights for financial institutions and firms on how green finance can enhance carbon productivity through technological progress bias.
🏛政策担当者:Highlights the importance of regional heterogeneity in green finance policies, relevant for designing targeted carbon reduction strategies.
📄 Abstract（原文）
In the context of global climate change, achieving a green and low-carbon economic transition is essential for sustainable development. This study constructs a model using data from 30 provinces collected between 2006 and 2020 to investigate how green finance influences China’s carbon productivity and the transmission mechanism mediated by factor-biased technological progress. The findings reveal the following: (1) The Moran’s index test for carbon productivity across Chinese provinces demonstrates significant spatial clustering. (2) Green finance exhibits substantial spillover effects on carbon productivity in surrounding regions. (3) Capital-biased and energy-biased technological progress significantly mediate the relationship between green finance and carbon productivity, indicating that green finance enhances carbon productivity by optimizing the allocation of capital, labor, and energy factors. (4) Regional heterogeneity analysis indicates that capital-technology-biased and energy-factor-technology-biased approaches can significantly enhance carbon productivity in Central and Northeastern China. Notably, energy-factor innovation delivers far greater environmental efficiency gains in these regions than in Eastern and Western China.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.3390/su17198725first seen 2026-05-05 19:07:05
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