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

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