Intelligent Manufacturing Demonstration Projects Driving Corporate ESG Ratings: An Analysis Based on Innovation Efficiency and Cost Management
インテリジェント製造実証プロジェクトが企業のESG格付けに与える影響：イノベーション効率とコスト管理に基づく分析 (AI 翻訳)
Guangxing Hu, Bin Li
🤖 gxceed AI 要約
日本語
中国のインテリジェント製造実証プロジェクト（IMDP、2015-2018年）が企業のESG格付けに与える影響を、傾向スコアマッチングと差の差分析を用いて検証。IMDP参加企業は非参加企業と比較してESG格付けが約0.14段階上昇し、その効果はイノベーション効率の向上とコスト管理の改善を通じて実現。特に競争圧力の高い企業や成長段階の企業で効果が顕著であり、グリーンウォッシュの低減とESG不確実性の低下にも寄与することを示した。
English
This study examines the impact of China's Intelligent Manufacturing Demonstration Projects (IMDPs, 2015-2018) on corporate ESG ratings using a quasi-experimental design with propensity score matching and difference-in-differences. IMDP participation increases ESG ratings by approximately 0.14 levels, driven by improved innovation efficiency and cost management. The effect is stronger for firms under high competitive pressure, in growth stages, and in capital-scarce industries. IMDPs also reduce greenwashing and lower ESG rating uncertainty, enhancing the credibility of ESG information.
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
中国の産業政策がESG評価に与える影響を実証した点は、日本でもスマート製造やDX推進政策の効果を検討する際に参考になる。特に、ESG情報の信頼性向上（グリーンウォッシュ低減）は、投資家対応や統合報告書の質向上に直結する示唆を与える。
In the global GX context
This paper provides rigorous empirical evidence that industrial policies like intelligent manufacturing can improve firms' ESG performance and information credibility. Globally, it supports the notion that smart industrial policy can complement ESG frameworks such as ISSB and CSRD by enhancing transparency and reducing greenwashing, offering a model for evaluating the sustainability impact of manufacturing digitization.
👥 読者別の含意
🔬研究者:The mechanism of innovation efficiency and cost management as channels for ESG improvement offers a testable framework for future studies on industrial policy and sustainability.
🏢実務担当者:Corporate sustainability teams can use these findings to advocate for smart manufacturing investments that improve ESG ratings and reduce greenwashing risk.
🏛政策担当者:Regulators designing industrial transformation policies can incorporate ESG impact metrics and consider the role of competition and capital scarcity in enhancing policy effectiveness.
📄 Abstract（原文）
This study examines whether China’s Intelligent Manufacturing Demonstration Projects (IMDPs, 2015–2018) can improve firms’ environmental, social, and governance (ESG) performance and thereby strengthen the quality of green transformation in manufacturing. Exploiting the staggered rollout of IMDPs as a quasi-natural experiment, we combine propensity score matching with a multi-period difference-in-differences design using panel data on Chinese listed manufacturing firms from 2009 to 2022. We find that IMDP participation increases ESG ratings by approximately 0.14 rating levels relative to comparable non-participating firms. Mechanism analyses suggest that the effect operates through higher innovation efficiency and improved cost management, consistent with a channel of capability upgrading and resource reallocation toward sustainability-related activities. The effect is stronger for firms under intense competitive pressure, at the growth stage, and in capital-scarce industries, indicating that industrial policy can be particularly valuable where market frictions constrain green investment. Importantly, we go beyond ESG scores by constructing measures of greenwashing and ESG rating uncertainty, and show that IMDPs reduce greenwashing and lower ESG uncertainty. These results imply that intelligent manufacturing policies can generate economically meaningful benefits by improving firms’ sustainability performance and the credibility of ESG information, which are central to capital allocation and the effectiveness of green governance.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.mdpi.com/2079-8954/14/4/347/pdf?version=1774430253first seen 2026-07-18 08:01:28
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。