How Green Innovation Affects Carbon Emissions: The Moderating Role of Climate Policy Uncertainty and Digital Transformation
グリーンイノベーションは炭素排出にどのように影響するか：気候政策の不確実性とデジタルトランスフォーメーションの調整役割 (AI 翻訳)
Ziqi Li
🤖 gxceed AI 要約
日本語
中国の製造業上場企業を対象に、グリーンイノベーションが炭素パフォーマンスに与える影響を実証分析。気候政策の不確実性は正の調整効果を持つが、デジタルトランスフォーメーションの調整効果は有意でない。政策策定への示唆を提供。
English
This study examines how green innovation affects carbon performance in Chinese manufacturing firms from 2014-2023. It finds that green innovation significantly improves carbon performance, and climate policy uncertainty positively moderates this relationship, while digital transformation's moderating effect is not significant. Results provide policy insights for green innovation incentives.
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
中国製造業のデータに基づくが、気候政策の不確実性が企業の炭素削減に与える影響は日本の製造業にも示唆がある。SSBJ対応や有報での気候関連開示を進める上で、政策変動がグリーン投資の効果を左右する点は参考となる。
In the global GX context
This paper adds to global literature on green innovation and carbon performance by introducing climate policy uncertainty as a moderator. While centered on China, the findings highlight that policy volatility can either amplify or dampen the effectiveness of corporate green investments, relevant for firms navigating TCFD/ISSB-aligned disclosures.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the moderating roles of climate policy uncertainty and digital transformation in the green innovation-carbon performance link.
🏢実務担当者:Suggests that firms facing high climate policy uncertainty may benefit more from green innovation in improving carbon performance.
🏛政策担当者:Indicates that stable climate policy can enhance the effectiveness of green innovation incentives.
📄 Abstract（原文）
Against the backdrop of the continuous advancement of global climate governance, the effective control of carbon emissions has become the core task for countries to implement sustainable development goals; green innovation has long been regarded by academia and industry as a key lever to promote deep decarbonization of the whole society, but the actual emission reduction effect it brings is obviously constrained by various real-world contextual conditions. This study uses contingency theory as the underlying analytical framework, selects A-share listed manufacturing enterprises from 2014 to 2023 as the research sample, and constructs a complete empirical analysis system to systematically explore how green innovation affects corporate carbon performance, while focusing on examining the moderating roles that climate policy uncertainty and corporate digital transformation play in the relationship between the two. The empirical results show that green innovation can significantly improve the carbon performance level of manufacturing enterprises; climate policy uncertainty positively moderates the association between green innovation and carbon performance and also generates an obvious forcing effect, that is, when climate policy fluctuates frequently, the emission reduction value of green innovation can be released to a greater extent; digital transformation itself can positively boost corporate carbon performance, but its enhancing effect on the emission reduction effectiveness of green innovation is not statistically significant. From the perspective of contingency analysis, this study clarifies the boundary constraints under which green innovation exerts emission reduction effects, expands the contextual research scope of the relationship between green innovation and carbon performance, and can provide reliable empirical support and practical reference for policy-making departments to improve green innovation incentive mechanisms, and to promote the bidirectional integration of corporate digital transformation and green low-carbon development.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.54254/2754-1169/2026.gt34542first seen 2026-06-16 05:40:55
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