Industrial Intelligence, Low-Carbon Transition and Implications for Offshore Renewable Energy: Evidence from Chinese Provinces
産業インテリジェンス、低炭素移行と洋上再生可能エネルギーへの示唆：中国の省レベルデータからの証拠 (AI 翻訳)
Pingzhen Xu, Xin Shen
🤖 gxceed AI 要約
日本語
本研究は、中国30省の2011～2022年のパネルデータを用いて、産業インテリジェンスが炭素排出に与える影響を構造方程式モデルで分析。産業インテリジェンスは炭素排出を有意に削減し、産業構造の高度化が媒介効果、グリーン技術革新が正の調整効果を持つ。地域差も顕著で、洋上風力等の海洋再生可能エネルギーへの示唆を提供。
English
Using panel data from 30 Chinese provinces (2011-2022), this study employs a structural equation model to examine how industrial intelligence affects carbon emissions. It finds that industrial intelligence significantly reduces emissions, with industrial structure upgrading as a mediator and green technological innovation as a positive moderator. Regional disparities exist. The findings offer insights for offshore renewable energy, such as offshore wind.
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
中国の事例だが、日本のGX政策（特に洋上風力やスマート工場）にも示唆を与える。産業インテリジェンスによる排出削減メカニズムは、日本の製造業の低炭素化やSSBJ開示におけるイノベーション指標として活用可能。
In the global GX context
While focused on China, this paper provides empirical evidence on the role of industrial intelligence in emission reduction, relevant for global discussions on Industry 4.0 and decarbonization. It supports the integration of green innovation into climate disclosure frameworks like ISSB and CSRD.
👥 読者別の含意
🔬研究者:The paper offers a mechanism (mediation/moderation) empirical model for studying industrial intelligence and emissions, useful for comparative studies.
🏢実務担当者:Corporate sustainability teams can learn how smart manufacturing and green innovation can reduce carbon footprints, applicable to managing Scope 1 and 2 emissions.
🏛政策担当者:Policymakers can consider supporting industrial intelligence and green tech innovation as tools for achieving national low-carbon targets and promoting offshore renewable energy.
📄 Abstract（原文）
: In the context of global climate change, increasing energy security challenges, and marine ecological degradation, advancing the intelligent transformation of industrial systems and accelerating the development of marine renewable energy have become crucial pathways to achieving low-carbon growth and building a sustainable blue economy. Industrial intelligence plays a key role in supporting marine energy development through intelligent manufacturing and smart operation and maintenance technologies. Drawing on data from 30 provinces in China between 2011 and 2022, this study employs a structural equation model to systematically examine the impact mechanism of industrial intelligence on carbon emissions. The findings indicate that industrial intelligence significantly reduces carbon emissions. Furthermore, industrial structure upgrading serves as a mediating factor in this relationship, while green technological innovation positively moderates the emission-reduction effect of industrial intelligence. Multi-group analysis reveals notable regional disparities in the effectiveness of industrial intelligence in curbing emissions.These findings not only clarify the carbon reduction mechanisms of industrial intelligence within traditional industrial systems, but also offer valuable insights for enhancing the intelligence level of marine energy equipment manufacturing and reducing the development costs of marine renewable energy sources, such as offshore wind power.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.32604/ee.2026.076327first seen 2026-05-15 19:37:26
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