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  • Quantitative Methods in Finance: Exploring the Drivers of Sustainable Economic Growth in the EU

    Quantitative Methods in Finance by Gherghina, Ştefan Cristian;

    Exploring the Drivers of Sustainable Economic Growth in the EU

    Series: Sustainable Finance;

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      • Publisher's listprice EUR 117.69
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        49 924 Ft (47 546 Ft + 5% VAT)
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      • Discounted price 39 939 Ft (38 037 Ft + 5% VAT)

    49 924 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Springer
    • Date of Publication 23 November 2024
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031438660
    • Binding Paperback
    • No. of pages205 pages
    • Size 235x155 mm
    • Language English
    • Illustrations 2 Illustrations, black & white; 30 Illustrations, color
    • 868

    Categories

    Short description:

    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 sustainableeconomic growth. The book appeals to policy-makers and academics targeting to learn more about the characteristics of sustainable economic growth.

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    Long description:

    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.

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    Table of Contents:

    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.

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