Green Technology Innovation and Low-Carbon Transition: Mediating Pathways of Energy Consumption and Industrial Structure
グリーン技術革新と低炭素移行：エネルギー消費と産業構造による媒介経路 (AI 翻訳)
Jia Zhu, X Chen, Pengfei Zhou
🤖 gxceed AI 要約
日本語
本論文は中国30省のパネルデータ（2009-2023）を用い、グリーン技術革新（GTI）が炭素排出と炭素パフォーマンスに与える非線形効果を実証。GTIと炭素排出には逆U字、炭素パフォーマンスにはU字の関係が確認され、エネルギー構造の最適化と産業構造の高度化が媒介経路として重要であることが示された。地域別では資源依存型都市で排出削減効果が弱い。
English
Using panel data from 30 Chinese provinces (2009-2023), this study finds an inverted-U relationship between green technology innovation (GTI) and carbon emissions, and a U-shaped relationship with carbon performance. GTI promotes low-carbon transition via optimizing energy structure (reducing coal share) and upgrading industrial structure (increasing tertiary sector share). Regional heterogeneity is significant: resource-dependent cities show weaker emission reductions.
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
中国の省別データに基づくが、地域間の異質性や媒介経路の分析は日本の地域脱炭素政策にも示唆を与える。特に、資源依存地域と非依存地域での政策差別化の重要性が示唆される。
In the global GX context
This paper contributes to the global literature on green technology and low-carbon transition by quantifying nonlinear effects and mediating roles of energy and industrial structures. The findings are relevant for countries designing region-specific policies to maximize emission reductions.
👥 読者別の含意
🔬研究者:Provides empirical evidence for nonlinear GTI impacts and mediating mechanisms, useful for scholars studying technology-policy interactions.
🏢実務担当者:Offers insights on how green technology investments can be complemented by energy and industrial structure reforms.
🏛政策担当者:Highlights the need for region-specific policies to maximize GTI's emission reduction potential.
📄 Abstract（原文）
Global climate change is intensifying, and green technology innovation (GTI) is widely regarded as a core driver of low-carbon economic transition. However, its actual emission reduction effects remain debated. Based on panel data from 30 Chinese provinces (2009–2023), this study constructs a nonlinear econometric model to empirically analyze the impact of GTI on carbon emissions and carbon performance, while also examining the mediating roles of energy consumption structure and industrial structure, and regional heterogeneity. The results show (1) a significant inverted-U relationship between GTI and carbon emissions, and a U-shaped relationship between GTI and carbon performance; (2) GTI indirectly promotes low-carbon transition by reducing the share of coal in energy consumption (energy structure optimization) and increasing the share of the tertiary industry (industrial upgrading); (3) significant regional heterogeneity exists—resource-based cities show weaker emission reduction effects due to traditional energy dependence, while non-resource-based cities exhibit stronger carbon reduction outcomes. Based on these findings, we propose policy recommendations including strengthening GTI financial support, accelerating clean energy adoption, promoting industrial upgrading, implementing region-differentiated policies, and improving GTI evaluation systems to achieve the win-win goal of economic development and environmental protection.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18115747first seen 2026-06-07 04:55:06
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