Druck auf Anfrage Neuware - Printed after ordering - This volume offers a comprehensive analysis of sustainable development paths, based on UN 2030 SDGs, using a deep, comparative, and standardized analysis of nine key indicators from official statistics. The book offers an introductory chapter that sets the stage and provides background for what is to come, followed by a chapter covering each of the nine indicators selected.The indicators' trends were evaluated over time (1960-2020) using World Bank data. The authors analyzed the apparent and latent dynamics of the nine indicators country by country, covering at least 100 countries per indicator. Offered here are descriptive statistics, figures, maps, graphs, bivariate correlations, and multivariate statistical tools in order to clarify the role of each indicator in specific sustainable development paths all over the world. The book provides novel tools for teaching as well as for academics and practitioners.

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Bibliographic Details

Title: Sustainable Development : Official Statistics and Thematic Indicators as a Compass to Understand Complexity
Publisher: Springer, Springer
Publication Date: 2026
Language: English
ISBN 10: 3032125588
ISBN 13: 9783032125583
Binding: Buch
Condition: Neu
Dimensions: 260 millimeters width by 183 millimeters height by 13 millimeters depth
Weight: 496 grams

About this title

Synopsis

This volume offers a comprehensive analysis of sustainable development paths, based on UN 2030 SDGs, using a deep, comparative, and standardized analysis of nine key indicators from official statistics. The book offers an introductory chapter that sets the stage and provides background for what is to come, followed by a chapter covering each of the nine indicators selected.

The indicators' trends were evaluated over time (1960-2020) using World Bank data. The authors analyzed the apparent and latent dynamics of the nine indicators country by country, covering at least 100 countries per indicator. Offered here are descriptive statistics, figures, maps, graphs, bivariate correlations, and multivariate statistical tools in order to clarify the role of each indicator in specific sustainable development paths all over the world. The book provides novel tools for teaching as well as for academics and practitioners.

About the Author

Clio Ciaschini, PhD, is a senior fellow in applied economics at the Department of Social and Economic Sciences, Polytechnic University of Marche, Italy.

Luca Salvati, PhD, is associate professor (full staff) of economic statistics at the Faculty of Economics, Sapienza University of Rome, Italy.

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