Banca de QUALIFICAÇÃO: MURILO ROCHA LEMES

THE SUSTAINABLE WORLD OF 2030: HOW A MULTI-LEVEL MODEL CAN HELP GUIDE NATIONS TOWARDS THE UNITED NATIONS SUSTAINABLE DEVELOPMENT GOALS (SDG) AGENDA

This work presents a study of the application of a linear hierarchical model to a set of data linked to sustainable development through the 17 SDGs of the UN Agenda. The proposed model aims to measure how far each country is from the signed commitments, breaking with the current stagnation and providing information regardless of where and how much each one of them needs to advance to fulfill them by the end of the decade.

It also integrates with the objective of analyzing Brazil's individual performance in this scenario, bringing detailed information about what needs to be done in the national territory to mitigate problems that historically afflict the Brazilian situation. As an example, showing how much improvement is needed to reduce inequalities in the most varied ways that describe SDG 10 (Reduction of inequalities) and which presents a poor performance, by far the worst compared to the others.

In the case of a data set, the structure observed here is composed of 163 countries or locations, nested in 6 regional spheres of analysis, over 22 years (from 2000 to 2021). The data comes from the UN's own Sustainable Development Reports (SDR), which are made available annually on the organization's official website.

The development of the model is presented in two tools for didactic purposes: in Stata/MP, version 14, from StataCorp LP and through programming in Python, using free libraries made available by the language itself. The first has more statistical robustness while the second has more dynamism and operational capacity.