Description
The Sustainable Development Goals are global objectives set by the UN. They cover fundamental issues in development such as poverty, education, economic growth, and climate. Despite growing data across policy dimensions, popular statistical approaches offer limited solutions as these datasets are not big or detailed enough to meet their technical requirements. Complexity Economics and Sustainable Development provides a novel framework to handle these challenging features, suggesting that complexity science, agent-based modelling, and computational social science can overcome these limitations. Building on interdisciplinary socioeconomic theory, it provides a new framework to quantify the link between public expenditure and development while accounting for complex interdependencies and public governance. Accompanied by comprehensive data of worldwide development indicators and open-source code, it provides a detailed construction of the analytic toolkit, familiarising readers with a diverse set of empirical applications and drawing policy implications that are insightful to a diverse readership.
Table of Contents
Part I. A Complexity Approach to Sustainable Development: 1. Introduction; 2. Policy prioritisation, complexity, and agent computing; 3. Relevant data and empirical challenges; 4. A computational model; 5. Calibration and validation; Part II. A Global View of Sustainable Development: 6. The feasibility of the sustainable development goals; 7. Government spending and structural bottlenecks; 8. Public governance and sustainable development; 9. The impact of international aid; Part III. A Focalised View of Sustainable Development: 10. Subnational development and fiscal federalism; 11. Accelerators and systemic bottlenecks; 12. Deprivation, income shocks, and remittances; 13. Lessons and reflections.
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