Policy–technology–finance synergy and sustainable industrial low-carbon transition
政策・技術・金融の相乗効果と持続可能な産業の低炭素移行 (AI 翻訳)
Jun Ma, Wei Cai, Yuchen Wan, Cui Zheming, Tao Wang
🤖 gxceed AI 要約
日本語
デジタル変革が産業の低炭素移行に与える影響を、政策・技術・金融の相互作用の観点から分析。12,000社年の製造企業パネルデータを用い、政策と企業能力の適合度が重要であることを示す。政策と企業のミスマッチは情報歪曲やインセンティブの不整合を引き起こし、排出削減効果を弱める。
English
This study examines how digital transformation, policy intervention, technological investment, and financial support interact to drive industrial low-carbon transition. Using firm-level panel data from over 12,000 observations in manufacturing, it finds that policy–enterprise fit is crucial: strong synergy only emerges when policies align with firm capabilities, while mismatch can crowd out 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
日本のGX政策（グリーントランスフォーメーション）において、企業のデジタル化と排出削減の連携は重要な課題。本稿は政策と企業特性の適合が効果を左右することを示し、日本の製造業向け補助金や規制設計に示唆を与える。
In the global GX context
Globally, this paper adds nuanced evidence that policy effectiveness for low-carbon transition is conditional on firm-level alignment. It informs debates on 'green industrial policy' and the design of adaptive regulations, relevant for the EU Green Deal and US climate policies.
👥 読者別の含意
🔬研究者:Provides a framework for analyzing policy-technology-finance synergy with firm-level data, highlighting interaction effects and crowding-out mechanisms.
🏢実務担当者:Helps corporate sustainability managers understand that digital transformation alone is insufficient; alignment with policy incentives and internal capabilities is key.
🏛政策担当者:Offers evidence that industrial decarbonization policies must be tailored to firm capabilities to avoid counterproductive outcomes.
📄 Abstract（原文）
Digital transformation is widely recognized as a critical driver of sustainable industrial development and the low-carbon transition. However, empirical evidence suggests that policy-driven digitalization does not automatically translate into improved environmental performance. This study examines whether and under what conditions the interaction among digital transformation, industrial policy, technological investment, and financial support can effectively promote industrial low-carbon transition, with particular attention to the role of policy–enterprise fit. Using a firm-level panel dataset of manufacturing enterprises during a period of rapid digital transformation (over 12,000 firm-year observations), we construct an integrated analytical framework linking digitalization, policy intervention, technological input, and financial support. Fixed-effects models and interaction analyses are employed to identify both direct effects and conditional synergies. The results show that digital transformation, technological investment, and financial support significantly reduce carbon intensity, whereas policy intervention alone exhibits weak and unstable effects. Importantly, a strong policy–technology–finance synergy emerges only when policy instruments are well-aligned with firm-level capabilities. Under high policy–enterprise fit, the joint interaction effect is substantially amplified and statistically significant, while under low fit, policy intervention weakens the emission-reduction effects of digital transformation, indicating a crowding-out mechanism. Further mechanism analysis suggests that information distortion, incentive misalignment, and compliance cost crowding-out are key channels through which policy mismatch undermines low-carbon outcomes. These findings highlight the conditional nature of policy effectiveness and provide evidence-based insights for designing more precise, adaptive, and sustainability-oriented industrial policies to support low-carbon transition in digitally transforming economies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/frevc.2026.1809004first seen 2026-05-15 18:09:58
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