Advancing Eco-friendly Growth through AI-Powered Green Economy: Utilizing Blockchain for Enhanced Supply Chains and Natural Resource Management

Abstract

Objectives. This study explores the interplay between Artificial Intelligence (AI), renewable energy adoption, and Green Total Factor Productivity (GTFP). It aims to understand how AI influences carbon intensity across industries and developmental stages and examines the potential of digital technologies like blockchain to promote sustainable development. Prior Work. Building on existing literature on renewable energy transition, AI's impact on various sectors, and the role of digital technologies in sustainability, this paper seeks to provide a comprehensive analysis of AI's influence on green economic development. Approach. Employing a relevant mathematical model, this research assesses the effects of AI on carbon intensity and evaluates the potential roles of blockchain and AI in enhancing supply chain transparency, traceability, and sustainability practices. Results. The study reveals diverse impacts of AI on carbon intensity, with significant reductions observed during specific planning periods. It underscores the potential of digital technologies in decoupling economic growth from carbon emissions and highlights the importance of inclusive governance in maximizing positive impacts. Implications. Findings have implications for academics, policymakers, and industry stakeholders involved in sustainable development. It emphasizes the need for collaborative frameworks and inclusive governance to leverage digital innovations effectively for environmentally friendly industrial transformations. Value. This paper contributes to the understanding of AI's role in green economic development and provides insights into the potential of blockchain and AI in promoting sustainable practices. Its rigorous analysis and practical recommendations offer valuable guidance for addressing environmental challenges while fostering economic growth.