<p><p>Long term asset owners and managers, while seeking high risk-adjusted returns and efficiently allocating scarce financial capital to the highest value economic activities, have the essential and formidable role of ensuring the sustainability of return. But generally accepted financial accounti
Quantitative Methods in Finance: Exploring the Drivers of Sustainable Economic Growth in the EU (Sustainable Finance)
β Scribed by Εtefan Cristian Gherghina
- Publisher
- Springer
- Year
- 2023
- Tongue
- English
- Leaves
- 225
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book explores certain social and environmental drivers of sustainable economic growth for European Union countries (EU-27) and United Kingdom (UK) in the context of the UN 2030 Agenda for Sustainable Development. The author provides a comprehensive overview of the factors that impact and facilitate sustainable economic growth and discusses the complex set of factors involved in sustainable economic development. Special attention is given to quantitative frameworks and empirical modelling, with the main focus on panel data regression models and vector error correction model approach. Furthermore, the book develops ratings of sustainable economic growth for each of the explored countries, by employing data mining techniques such as principal component analysis. Also, the data envelopment analysis non-parametric methodology towards assessing sustainable economic growth is investigated, as well as the cluster analysis in order to classify the selected nations according to sustainable economic growth. The book appeals to policy-makers and academics targeting to learn more about the characteristics of sustainable economic growth.
β¦ Table of Contents
Introduction
Contents
List of Figures
List of Tables
Chapter 1: Related Literature: Focus on Sustainable Economic Growth
1.1 An Overview of the Social Drivers of Sustainable Economic Growth
1.1.1 The Impact of Health on Sustainable Economic Growth
1.1.2 The Contribution of Education and Innovation to Sustainable Economic Growth
1.1.3 The Influence of Wealth Inequality and Poverty on Sustainable Economic Growth
1.1.4 The Relationship Between Governance and Sustainable Economic Growth
1.2 Insights into the Environmental Drivers of Sustainable Economic Growth
1.2.1 The Impact of Renewable and Non-renewable Energy on Sustainable Economic Growth
1.2.2 The Nexus Between Carbon Dioxide Emissions and Sustainable Economic Growth
1.3 Summary
References
Chapter 2: A Panel Data Regression Approach Towards the Drivers of Sustainable Economic Growth
2.1 Empirical Research Framework
2.1.1 Sample and Variables
2.1.2 Econometric Specifications
2.2 Quantitative Findings
2.2.1 Summary Statistics and Correlation Analysis
2.2.2 Fixed Effects Regression Estimation Results
2.2.3 GMM Regression Estimation Results
2.3 Summary
References
Chapter 3: A Vector Error Correction Model (VECM) Approach
3.1 Quantitative Methodology
3.1.1 Panel Unit Root Tests
3.1.2 Panel Cointegration
3.1.3 Panel Long-Run Estimators
3.1.4 Causality Testing
3.2 Unit-Root Examination
3.3 Cointegration Analysis
3.4 Exploring Short-Run and Long-Run Causality
3.5 Investigating Impulse Response Functions
3.6 Variance Decomposition
3.7 Summary
References
Chapter 4: A Principal Component Analysis Approach Towards Assessing Sustainable Economic Growth
4.1 Earlier Literature Towards Development of a Sustainability Assessment Index
4.2 Principal Component Analysis Framework
4.3 The Outcomes of Principal Component Analysis
4.4 A Regression Approach Towards the Impact of Global Sustainability Index on Sustainable Economic Growth
4.5 Summary
References
Chapter 5: A Data Envelopment Analysis Approach Towards Evaluating Sustainable Economic Growth
5.1 A Literature Review of Sustainable Development with Data Envelopment Analysis
5.2 Methodology of Data Envelopment Analysis
5.3 Data Envelopment Analysis Findings
5.4 Summary
References
Chapter 6: A Cluster Analysis Towards Exploring Sustainable Economic Growth
6.1 Earlier Literature on Cluster Analysis for Assessing Sustainable Economic Growth
6.2 Cluster Analysis Methodology
6.3 Clustering Results
References
Appendices
Appendix A1
Appendix A2
Appendix A3
Appendix A4
Appendix A5
Appendix A6
Appendix A7
Appendix A8
Appendix A9
Appendix A10
Appendix A11
Appendix A12
Appendix A13
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