Economic Growth: Advances in Analysis Methodologies and Technologies

1. Auflage 2023
ISBN: 978-3-031-38362-5
Verlag: Springer Nature Switzerland

Buch, Englisch, 144 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 254 g

Reihe: SpringerBriefs in Applied Sciences and Technology

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 anddeep learning approaches.

Zielgruppe

Research

Autoren/Hrsg.

Martinho, Vitor Joao Pereira Domingues

Fachgebiete

• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftswachstum
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie
• Wirtschaftswissenschaften Volkswirtschaftslehre Umweltökonomie

Inhaltsverzeichnis

Chapter 1: Economic growth: Sigma and beta convergence processes worldwide.- Chapter 2: Clubs of convergence: Insights from the main groups of countries.- Chapter 3: World trends: Differences and similitudes between absolute and conditional convergence.- Chapter 4: Constant, decreasing, or increasing returns to scale: Evidence from the Verdoorn and Kaldor laws.- Chapter 5: Circular and cumulative processes in economic growth: The importance of the external demand.- Chapter 6: Interrelationships between economic growth and sustainability: Highlights from the literature.- Chapter 7: Sustainable development: Contributions from life cycle cost analysis.- Chapter 8: Social life cycle assessment: Relationships with the economic growth.- Chapter 9: Machine and deep learning: Their roles in the context of the economic growth processes and sustainability assessment.- Chapter 10: Economic growth, sustainability assessment and artificial intelligence: Combinations among these three dimensions.

Über Autor(innen)

Vítor João Pereira Domingues Martinho is Coordinator Professor with Habilitation at the Polytechnic Institute of Viseu, Portugal. He received his Ph.D. in Economics from the University of Coimbra, Portugal. With a profound academic background, he has also served as Invited Professor at the University of Trás-os-Montes and Alto Douro (Portugal) and currently holds the position of Invited Professor at the Polytechnic Institute of Coimbra (Portugal). From 2006 to 2012, Professor Martinho served as President of the Scientific Council, President of the Directive Council, and President of the Agricultural School belonging to the Polytechnic Institute of Viseu, Portugal. Additionally, he was President of the Direction of the Association of Forest Producers of Viseu, Portugal. His excellent academic record is further substantiated by his participation as an Erasmus student in the Faculty of Economics from the University of Verona, Italy, and in various technical and scientific events nationally and internationally. Martinho has published several technical and scientific papers and serves as Referee for various scientific and technical journals. He actively participates in the evaluation of national and international projects.