Economic Growth: Advances in Analysis Methodologies and Technologies (SpringerBriefs in Applied Sciences and Technology)

✍ Scribed by Vitor Joao Pereira Domingues Martinho

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 150
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Acknowledgements
About This Book
Contents
About the Author
1 Economic Growth: Sigma and Beta Convergence Processes Worldwide
1.1 Introduction
1.2 Data Analysis and Sigma Convergence
1.3 Results for the Beta Convergence
1.4 Discussion and Conclusions
References
2 Clubs of Convergence: Insights from the Main Groups of Countries
2.1 Introduction
2.2 Sigma Convergence and Catch-Up Rates
2.3 Findings for Cluster Analysis and Beta Convergence
2.4 Discussion and Conclusions
References
3 World Trends: Differences and Similitudes Between Absolute and Conditional Convergence
3.1 Introduction
3.2 Sigma Convergence and Data Analysis
3.3 Results for Conditional Beta Convergence with Panel Data
3.4 Discussion and Conclusions
References
4 Constant, Decreasing or Increasing Returns to Scale: Evidence from the Verdoorn and Kaldor Laws
4.1 Introduction
4.2 Data Analysis
4.3 Results for the Kaldor Model
4.4 Discussion and Conclusions
References
5 Circular and Cumulative Processes in Economic Growth: The Importance of the External Demand
5.1 Introduction
5.2 Data Assessment
5.3 Findings Considering the Developments of Thirlwall and Those of the New Economic Geography
5.4 Discussion and Conclusions
References
6 Interrelationships Between Economic Growth and Sustainability: Highlights from the Literature
6.1 Introduction
6.2 Bibliometric Analysis
6.3 Insights from the Literature
6.4 Discussion and Conclusions
References
7 Sustainable Development: Contributions from Life Cycle Cost Analysis
7.1 Introduction
7.2 Bibliographic Data Assessment
7.3 Contributions from the Literature for the Topics Analysed
7.4 Discussion and Conclusions
References
8 Social Life Cycle Assessment: Relationships with the Economic Growth
8.1 Introduction
8.2 Co-occurrence, Bibliographic Coupling and Co-citation Links Analysis
8.3 A Literature Review Based on Bibliographic Data
8.4 Discussion and Conclusions
References
9 Machine and Deep Learning: Their Roles in the Context of the Economic Growth Processes and Sustainability Assessment
9.1 Introduction
9.2 Keywords, Countries, Organisations, Cited Authors, Documents and Cited Sources as Items
9.3 Literature Review Based on Bibliometric Information
9.4 Discussion and Conclusions
References
10 Economic Growth, Sustainability Assessment and Artificial Intelligence: Combinations Among These Three Dimensions
10.1 Introduction
10.2 Metrics from the Scopus Database
10.3 Predict European Farming Costs with Machine Learning Approaches
10.4 Discussion and Conclusions
References