This book assesses the main interrelationships between economic growth processes life cycle
sustainability assessment approaches and new technologies in the framework of digital
transition. In other words it aims to highlight how sustainability assessment methodologies
and artificial intelligence can better support different actors for more sustainable economic
growth. Readers of the book would benefit from diverse perspectives on the contributions of
evaluation methodologies and digital technologies to more sustainable economic growth. This is
important especially for students policymakers and public institutions. Economic growth is
analysed using the concepts of sigma and beta convergence from neoclassical theory and the
Verdoorn law of Keynesian development. 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.
