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Sustainable Development Goals and Sustainability: A Comprehensive Review of Challenges, Innovations, and Future Perspectives

持続可能な開発目標とサステナビリティ:課題、革新、将来展望に関する包括的レビュー (AI 翻訳)

Biswajit Sahoo Biswajit Sahoo, Antaryami Muduli Antaryami Muduli, Chinmaya Kumar Swain Chinmaya Kumar Swain, Meenakshi Maharana Meenakshi Maharana, Madhab Chandra Jena Madhab Chandra Jena

International Journal of Creative and Open Research in Engineering and Management📚 査読済 / ジャーナル2026-07-05#ESG
DOI: 10.55041/ijcope.v2i7.046
原典: https://doi.org/10.55041/ijcope.v2i7.046
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🤖 gxceed AI 要約

日本語

本レビューは、SDGsを中心にサステナビリティの概念を包括的に整理し、再生可能エネルギー、ESGフレームワーク、AIやIoTなどのスマート技術の役割を考察する。気候変動、グリーンウォッシング、政策の断片化などの課題を指摘し、持続可能な開発のための相互連関的なアプローチを提唱する。

English

This comprehensive review examines the evolution of sustainability and SDGs, covering renewable energy, ESG frameworks, and the role of AI, IoT, and Industry 4.0. It highlights challenges such as climate change, greenwashing, and policy fragmentation, advocating for integrated approaches to achieve global sustainability.

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

日本でもSDGs達成に向けた企業の取り組みが統合報告書やSSBJ開示で重視されており、本レビューは幅広いトピックを俯瞰する入門資料として有用。ただし、日本固有の政策や制度への言及はなく、具体的な実務への応用には個別の深掘りが必要。

In the global GX context

This broad review contextualizes sustainability within the SDG framework, relevant for global ESG and climate disclosure discussions. It reinforces the need for cross-sectoral collaboration, aligning with ISSB and CSRD principles, though it lacks in-depth analysis of specific disclosure standards.

👥 読者別の含意

🔬研究者:Provides a broad literature synthesis on SDG implementation, useful for identifying research gaps in sustainability and AI applications.

🏢実務担当者:Offers a high-level overview of sustainability trends and technologies, but lacks actionable guidance for corporate teams.

🏛政策担当者:Highlights systemic challenges in SDG achievement, supporting the case for integrated policy frameworks.

📄 Abstract(原文)

Sustainability has emerged as one of the most significant global priorities in response to accelerating climate change, environmental degradation, resource depletion, rapid urbanization, and widening socioeconomic inequalities. Recognizing the interconnected nature of these challenges, the United Nations adopted the 2030 Agenda for Sustainable Development in 2015, introducing seventeen Sustainable Development Goals (SDGs) as an integrated framework for achieving inclusive economic growth, environmental conservation, and social well-being. The SDGs provide a universal roadmap for governments, industries, academic institutions, and civil society to address global sustainability challenges through coordinated actions and evidence-based policymaking. Since their adoption, sustainability has evolved from a predominantly environmental concept to a multidimensional development paradigm encompassing corporate governance, technological innovation, circular economy practices, renewable energy transition, sustainable manufacturing, digital transformation, and stakeholder engagement. This review critically examines recent developments in sustainability research and analyzes the contribution of the Sustainable Development Goals toward achieving long-term environmental, economic, and social resilience. The paper synthesizes contemporary literature on renewable energy systems, Environmental, Social, and Governance (ESG) frameworks, sustainable industrial development, climate action, smart technologies, and sustainable resource management. It further discusses the growing role of Artificial Intelligence (AI), the Internet of Things (IoT), blockchain, big data analytics, and Industry 4.0 in supporting SDG implementation across multiple sectors. In addition, the review evaluates emerging challenges including climate change, biodiversity loss, resource scarcity, greenwashing, policy fragmentation, financial constraints, and technological disparities that continue to hinder global sustainability efforts.

🔗 Provenance — このレコードを発見したソース

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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。