Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/179315
Título: Demographic Analysis to Support Decision Making: The Migration Response to the Demographic Problem in Portugal
Autor: Araújo, João Miguel Flores Bentes
Orientador: Rodrigues, Teresa Maria Ferreira
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
Data de Defesa: 13-Fev-2025
Resumo: 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
URI: http://hdl.handle.net/10362/179315
Designação: Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Métodos Analíticos para a Gestão
Aparece nas colecções:NIMS - Dissertações de Mestrado em Ciência de Dados e Métodos Analíticos Avançados (Data Science and Advanced Analytics)

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
TCDMAA3465.pdf1,67 MBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.