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Quantitative methods in financeexploring the drivers of sustainable economic growth in the EU /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative methods in financeby Stefan Cristian Gherghina.
其他題名:	exploring the drivers of sustainable economic growth in the EU /
作者:	Gherghina, Stefan Cristian.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xxv, 205 p. :illustrations, digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	FinanceStatistical methods.
電子資源:	https://doi.org/10.1007/978-3-031-43864-6
ISBN:	9783031438646$q(electronic bk.)

Quantitative methods in financeexploring the drivers of sustainable economic growth in the EU /
Gherghina, Stefan Cristian.

Quantitative methods in financeexploring the drivers of sustainable economic growth in the EU /[electronic resource] :by Stefan Cristian Gherghina. - Cham :Springer International Publishing :2023. - xxv, 205 p. :illustrations, digital ;24 cm. - Sustainable finance,2522-8293. - Sustainable finance..

Chapter 1. Related Literature - Focus on Sustainable Economic Growth -- Chapter 2. A Panel Data Regression Approach Towards the Drivers of Sustainable Economic Growth -- Chapter 3. A Vector Error Correction Model (Vecm) Approach -- Chapter 4. A Principal Component Analysis Approach Towards Assessing Sustainable Economic Growth -- Chapter 5. A Data Envelopment Analysis Approach Towards Evaluating Sustainable Economic Growth -- Chapter 6. A Cluster Analysis Towards Exploring Sustainable Economic Growth.

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.

ISBN: 9783031438646$q(electronic bk.)

Standard No.: 10.1007/978-3-031-43864-6doiSubjects--Topical Terms:

240075
Finance
--Statistical methods.

LC Class. No.: HG176.5 / .G44 2023

Dewey Class. No.: 332.0727

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