Empowering Mechanism, Practical Dilemmas and Optimization Strategies of Digital-Intelligent Technology in Government Low-Carbon Governance
政府の低炭素ガバナンスにおけるデジタル・インテリジェント技術の強化メカニズム、実践的課題と最適化戦略 (AI 翻訳)
Xi Peng
🤖 gxceed AI 要約
日本語
本論文は、政府の低炭素ガバナンスにおけるデジタル・インテリジェント技術の活用メカニズムと実践的課題を体系的に分析。意思決定・プロセス・ガバナンスモードの3側面での強化効果を指摘し、技術万能主義の認知バイアス、技術と制度のミスマッチ、主体能力不足の3つの課題を提示。最適化戦略を提案し、効率向上への理論的示唆を提供する。
English
This paper systematically explores the empowering mechanism and practical dilemmas of digital-intelligent technology in government low-carbon governance. It identifies three core empowerment aspects (decision-making, process, governance mode) and three dilemmas (technological omnipotence bias, technology-institution misalignment, insufficient capacity of governance subjects). Optimization strategies are proposed to enhance governance efficiency.
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（GX実現に向けた基本方針等）においても、デジタル技術を活用した低炭素ガバナンスの効率化は重要課題。SSBJ開示におけるデータ品質向上にも示唆があるが、本論文は中国の文脈に基づくため、日本への直接適用には調整が必要。
In the global GX context
The paper contributes to global discourse on digital governance for climate action, relevant to UNFCCC and World Bank initiatives. Its framework for technology-institution alignment can inform ISSB/CSRD implementation in public sector reporting, though the Chinese case context limits direct transferability.
👥 読者別の含意
🔬研究者:Provides a systematic framework for analyzing digital technology's role in low-carbon governance, useful for scholars in climate policy and digital government.
🏛政策担当者:Highlights key dilemmas and optimization strategies for integrating digital tools into low-carbon governance, offering a reference for policy design and implementation.
📄 Abstract（原文）
Digital-intelligent technology provides crucial technical support for addressing government low-carbon governance dilemmas and improving regional low-carbon governance capacity. This paper systematically explores the empowering mechanism and practical dilemmas of digital-intelligent technology in low-carbon governance. The results indicate that digital-intelligent technology empowers government low-carbon governance in three core aspects: decision-making, process and governance mode. It transforms empirical and lagging governance decision-making into scientific prediction, fragmented decentralized governance into multi-subject collaborative co-governance, and extensive administrative management into refined precise governance. In practice, digital low-carbon governance is restricted by three prominent dilemmas: cognitive bias of technological omnipotence, misalignment between technology and institutional systems, and insufficient comprehensive capacity of diverse governance subjects. This paper proposes targeted optimization strategies to correct cognitive deviations, promote technology-institution collaborative adaptation and make up for multi-subject capacity deficiencies, aiming to provide theoretical references and practical guidance for improving government low-carbon governance efficiency.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.54097/8b4xx927first seen 2026-07-23 05:17:09
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