ESG Information Disclosure and Path Selection of New Energy Enterprises in the Context of Digital Economy
デジタル経済下における新興エネルギー企業のESG情報開示と経路選択 (AI 翻訳)
Qin Shuheng
🤖 gxceed AI 要約
日本語
本研究は、デジタル経済の進展に伴い、新興エネルギー企業のESG情報開示の現状を評価し、デジタルツールを活用した開示改善の経路を探る。調査データの分析から、クラウドコンピューティングやAIの活用が開示の質とステークホルダー対応力を高めることが示された。標準化されたデジタルフレームワークの導入を提言する。
English
This study evaluates ESG disclosure practices among new energy enterprises in the digital economy context. Using survey data and statistical analysis, it finds that digital tools like cloud computing and AI significantly improve disclosure quality and stakeholder responsiveness. Recommends standardized digital frameworks for strategic decision-making and regulatory compliance.
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
日本ではSSBJ基準の策定が進む中、デジタル技術を活用したESG開示の実証研究は参考になる。ただし、中国企業を対象としており、日本の制度や市場環境との違いに留意が必要。
In the global GX context
This paper contributes to the global discussion on digital transformation of ESG disclosure, relevant to ISSB and CSRD frameworks. However, its focus on Chinese new energy enterprises limits direct applicability; further research in other contexts is needed.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the link between digital tools and ESG disclosure quality in the new energy sector.
🏢実務担当者:Highlights the benefits of adopting cloud computing and AI for improving ESG reporting effectiveness.
🏛政策担当者:Suggests the need for standardized digital frameworks to support ESG disclosure in the energy sector.
📄 Abstract（原文）
In the context of accelerating global digital transformation, Environmental, Social, and Governance (ESG) information disclosure has become a crucial measure of transparency, sustainability, and corporate responsibility. However, new energy enterprises often face challenges such as inconsistent disclosure standards, technological limitations, and a lack of strategic direction, especially when adapting to the evolving digital economy. This research aims to evaluate the current state of ESG information disclosure among new energy enterprises and identify optimal paths for improving transparency and effectiveness through digital tools and data-driven strategies. Data were collected through structured surveys from selected new energy enterprises. A series of statistical methods was then applied to analyze the data. Descriptive statistics (DS) provided an overview of current disclosure practices, while Pearson correlation analysis (PCA) assessed the relationship between DML and ESG disclosure quality. Multiple regression analysis (MRA) was used to identify key predictors of high-quality disclosure. The results demonstrated a significant positive correlation between digital integration and the effectiveness of ESG reporting. Businesses that used cloud computing and Artificial Intelligence (AI) more frequently disclosed information that was more relevant, consistent, and responsive to stakeholders. The research concludes that digital advancement is a critical enabler of effective ESG disclosure and recommends the implementation of standardized digital frameworks to support strategic decision-making and regulatory compliance in the new energy sector.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.62486/agma2025272first seen 2026-05-05 19:08:17
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