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Artificial Intelligence, Environmental Management, and the Low-Carbon Economy [Kõva köide]

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  • Formaat: Hardback, 224 pages, kõrgus x laius: 234x156 mm, 7 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
  • Ilmumisaeg: 15-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1032999209
  • ISBN-13: 9781032999203
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  • Formaat: Hardback, 224 pages, kõrgus x laius: 234x156 mm, 7 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
  • Ilmumisaeg: 15-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1032999209
  • ISBN-13: 9781032999203

This book examines the applications of Artificial Intelligence (AI) in optimising environmental management, mitigating carbon footprints, and accelerating the transition to a sustainable low-carbon economy.

Progressing from discussion of fundamental concepts to specific applications of AI in various sectors, this book highlights how AI can assist companies and sectors in achieving Internationally Transferable Mitigation Outcomes (ITMO) and complying with ESG criteria. Sectors and applications discussed include e-commerce, finance, urban planning and conservation, among others. The book also addresses the ethical considerations and challenges of deploying AI technology and the need for robust regulatory frameworks.

Cutting across the disciplines of technology, engineering, and social sciences, this book will interest a broad range of researchers including those focused on sustainable development, ESG and net zero transition.



This book examines the applications of Artificial Intelligence (AI) in optimising environmental management, mitigating carbon footprints, and accelerating the transition to a sustainable low-carbon economy.

1. AI, carbon markets and international transferable mitigation
outcomes: An introduction

2. AI in environmental monitoring and waste management

3. AI for biodiversity conservation

4. Regenerative agriculture and Nature-Based solutions for soil carbon
sequestration: Building up value chain knowledge graphs for AI

5. AI-Enhanced Tokenization of Carbon Footprint and ESG Metrics for Net-Zero
Transitions

6. AI-Driven investment decisions and risk analysis in Net-Zero transitions

7. Smart Cities and Sustainability

8. Regulatory Challenges and Net Zero Transition in the Hospitality Industry:
The Role of AI

9. AIs role in consumer behaviour and public engagement for sustainability

10. Digital transformation beyond the buy button: Unpacking AIs role in
modern E-commerce ecosystems
Wai Ching Poon is Professor at Taylors Business School, Taylors University, Malaysia. Her research interests include circular economy, sustainable development, socioeconomics, and business economics.

Chean Shen Lim is Adjunct Professor at Taylors University, Malaysia. His research interests include Circular Economy for Regenerative Agriculture, Carbon Market Development, and Environmental Biotechnology.