A carregar...
Publicação
Demographic Analysis to Support Decision Making: The Migration Response to the Demographic Problem in Portugal
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.63 MB | Adobe PDF |
Orientador(es)
Resumo(s)
The project investigated the demographic problem in Portugal and the migration response to
that. The study delved into an analysis of Portuguese population changes over the 21st
century, highlighting the influence of migration flows on the demographic dynamics. To
anticipate future patterns, the project employed a population projection, using the cohort
component method, with diverse migration scenarios, offering insights into potential
outcomes. The goal of the project was to support decision makers by offering an extent
analysis of Portugal demographic challenges, emphasizing the role of migration. The artifact
attempted to contribute providing a tool to understand the data around the demographic
aging problem and to support the development of future strategies to respond to the Portugal
demographic needs. The finding of the project highlights the vital role of migration in
mitigating the effects of population aging. Despite the significant demographic aging
observed, migration patterns have shown a positive contribution toward stabilizing
population trajectory. The projection suggested that only scenarios with high positive level of
migration can effectively reduce the consequences of population aging, assuming other key
factors remain constant with the following years. For that, the project underscores the
importance of proactive migration policies in addressing demographic imbalances and
ensuring sustainable population dynamics and a sustainable society. Furthermore, it
highlights the importance of complementary policies that work alongside migration strategies.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Demographic analysis Migration Population Projection Cohort Components Method Datadriven Microsoft Power BI SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 11 - Sustainable cities and communities