Sustainable Development

Official Statistics and Thematic Indicators as a Compass to Understand Complexity
Erscheinungsjahr 2026
ISBN: 978-3-032-12558-3
Verlag: Springer

Buch, Englisch, 126 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 496 g

Reihe: Sustainable Development Goals Series

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.

Zielgruppe

Research

Autoren/Hrsg.

Ciaschini, Clio

Salvati, Luca

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Geowissenschaften Geographie | Raumplanung Geographie: Allgemeines, Karten & Atlanten
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit

Inhaltsverzeichnis

Chapter 1: The Challenge of Sustainable Development Indicators.- Chapter 2: Income Growth.- Chapter 3: Age Dependency Ratio.- Chapter 4: Adolescent Fertility Rate.- Chapter 5: Life Expectancy At Birth.- Chapter 6: Carbon Dioxide Emissions.- Chapter 7: Agricultural Land.- Chapter 8: Forest Rents.- Chapter 9: Military Expenditure.

Über Autor(innen)

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.