Economic Growth: Advances in Analysis Methodologies and Technologies

The book examines the interrelationships between economic growth processes, life cycle sustainability assessment approaches, and new technologies in the digital transition, highlighting how sustainability assessment methodologies and artificial intelligence can support more sustainable economic growth. It covers sigma and beta convergence from neoclassical theory and the Verdoorn law of Keynesian development, as well as social life cycle assessment and life cycle cost analysis. Special emphasis is given to machine and deep learning approaches.

Format: Paperback / softback
Length: 144 pages
Publication date: 09 August 2023
Publisher: Springer International Publishing AG

This book provides a comprehensive assessment of the interrelationships between economic growth processes, life cycle sustainability assessment approaches, and new technologies in the digital transition era. It aims to highlight how sustainability assessment methodologies and artificial intelligence can better support different actors for more sustainable economic growth. The book explores diverse perspectives on the contributions of evaluation methodologies and digital technologies to more sustainable economic growth, making it valuable for students, policymakers, and public institutions. Economic growth is analyzed using neoclassical theory's sigma and beta convergence concepts and Keynesian development's Verdoorn law. For sustainability assessments, the book considers methodologies associated with social life cycle assessment and life cycle cost analysis. In the context of digital technologies, special emphasis is given to machine and deep learning approaches.

Dimension: 235 x 155 (mm)
ISBN-13: 9783031383625
Edition number: 1st ed. 2023