The executive program aims to empower participants providing background knowledge, skills and tools required to set actions and support the accomplishment of the Agenda 2030 UN Sustainable Development Goal and Next Generation EU among public administrations at national or local level and stakeholders.
This is achieved by providing key theoretical framework and related empirical evidence that shape our thinking of economic interactions and policy-making with the transformative resilience approach. Moreover, the course explains the objectives of Agenda 2030 and the six missions of the Recovery and Resilience Plan and includes the analysis of the indicator setting, providing methodological basis for interventions and monitoring activities.
The course starts with an overview of the structural elements which form the background for introducing theoretical approaches and governance models in order to identify the drivers of a sustainable economic growth and to set an economy for development.
The course includes key theoretical models, comprehensive of the forecast updated to 2030 and the essential features of the policy cycle, especially on policy evaluation. The course continues providing a set of tools and applications on capital accumulation, technological progress and inequality in growth, and includes the role developed by informal and semi-formal institutions to make up for the imperfections of local markets. During the course, several issues will be discussed on the structure of land, labour, credit markets and public procurement to deepen how imperfections in these markets affect poverty and economy at large, as well as the economic policy-making.
The course matches a consistent academic expertise with a strong applied focus. Theoretical notions will be provided to allow verifiable forecasts for each topic and, subsequently, to carry out a review of the empirical results and their implications for policy-making, and national recovery and resilience plan implementation
The deadline for applications is 10 May 2021.
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