A carregar...
Publicação
Análise de Assimetrias na Região do Alentejo e do Algarve
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 3.12 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
As economias que apresentam níveis de rendimento per capita semelhantes tendem a ter as
mesmas características, no que respeita a níveis de estruturas básicas, níveis de educação,
qualidade institucional, ciência e tecnologia. O que significa que os países ou as suas regiões
podem ser divididos em grupos que refletem o seu nível de desenvolvimento e neste sentido
revelam necessidades e desafios específicos, que deverão ser contemplados nas políticas
públicas e o investimento privado previsto. Esta investigação procura encontrar as assimetrias
entre as regiões do Alentejo e Algarve, tal como são constituídos pelo NUTS II em Portugal.
Depois de definidas as variáveis sociodemográficas que poderiam ser utilizadas na
investigação, quer pelo facto de se possuir séries completas, quer pelo facto de poder aplicar
uma redução de informação, por meio de uma análise fatorial. Foram construídos três clusters
com 63 dos concelhos dos 74 concelhos que compõem as duas regiões em análise, ficando de
fora os concelhos Albufeira, Faro, Lagoa, Loulé, Olhão, Portimão, Silves, Tavira, Vila do
Bispo, Vila Real de Santo António e Santarém, por apresentarem outliers severos superiores
nas variáveis utilizadas na investigação. Foi possível concluir que as médias mais altas nas nove
variáveis sociodemográficas consideradas são sempre superiores no cluster 2, seguindo-se o
cluster 1 e em último o cluster 3, com exceção para o número de médicos por mil habitantes e
para o número de dormidas em estabelecimentos hoteleiros por cada cem habitantes, em que a
segunda posição é trocada com a terceira posição. Constata-se, também que na Componente
Principal designada por Fatores Financeiros o cluster 3 é significativamente diferente dos
clusters 1 e 3. Ao passo que na componente principal chamada de Saúde e Turismo existem
diferenças significativas entre o cluster 1 e o cluster 3. De referir ainda que o cluster 2 é
composto por um único concelho – o de Lagos, no Algarve. Sendo que o cluster 3 é composto
por Alcoutim, Aljezur, Castro Marim, Monchique e Grândola.
Economies that have similar per capita income levels tend to have the same characteristics, about levels of basic structures, levels of education, institutional quality, science and technology. Which means that countries or their regions can be divided into groups that reflect their level of development and, in this sense, reveal specific needs and challenges, which should be considered in public policies and the planned private investment. This investigation seeks to find the asymmetries between the regions of Alentejo and Algarve, as constituted by NUTS II in Portugal. After defining the sociodemographic variables that could be used in the investigation, either because of having complete series, or because of being able to apply a reduction of information, through a factorial analysis. Three clusters were built with 63 of the municipalities of the 74 municipalities that make up the two regions under analysis, leaving out the municipalities of Albufeira, Faro, Lagoa, Loulé, Olhão, Portimão, Silves, Tavira, Vila do Bispo, Vila Real de Santo António and Santarém, for having higher severe outliers in the variables used in the investigation. It was possible to conclude that the highest averages in the nine sociodemographic variables considered are always higher in cluster 2, followed by cluster 1 and finally cluster 3, except for the number of doctors per thousand inhabitants and the number of overnight stays in hotel establishments per 100 inhabitants, in which the second position is exchanged with the third position. It can also be seen that in the Main Component called Financial Factors, cluster 3 is significantly different from clusters 1 and 3. While in the main component called Health and Leisure there are significant differences between cluster 1 and cluster 3. even though cluster 2 is made up of a single municipality – Lagos, in the Algarve. Cluster 3 is composed of Alcoutim, Aljezur, Castro Marim, Monchique and Grândola.
Economies that have similar per capita income levels tend to have the same characteristics, about levels of basic structures, levels of education, institutional quality, science and technology. Which means that countries or their regions can be divided into groups that reflect their level of development and, in this sense, reveal specific needs and challenges, which should be considered in public policies and the planned private investment. This investigation seeks to find the asymmetries between the regions of Alentejo and Algarve, as constituted by NUTS II in Portugal. After defining the sociodemographic variables that could be used in the investigation, either because of having complete series, or because of being able to apply a reduction of information, through a factorial analysis. Three clusters were built with 63 of the municipalities of the 74 municipalities that make up the two regions under analysis, leaving out the municipalities of Albufeira, Faro, Lagoa, Loulé, Olhão, Portimão, Silves, Tavira, Vila do Bispo, Vila Real de Santo António and Santarém, for having higher severe outliers in the variables used in the investigation. It was possible to conclude that the highest averages in the nine sociodemographic variables considered are always higher in cluster 2, followed by cluster 1 and finally cluster 3, except for the number of doctors per thousand inhabitants and the number of overnight stays in hotel establishments per 100 inhabitants, in which the second position is exchanged with the third position. It can also be seen that in the Main Component called Financial Factors, cluster 3 is significantly different from clusters 1 and 3. While in the main component called Health and Leisure there are significant differences between cluster 1 and cluster 3. even though cluster 2 is made up of a single municipality – Lagos, in the Algarve. Cluster 3 is composed of Alcoutim, Aljezur, Castro Marim, Monchique and Grândola.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management
Palavras-chave
Assimetrias Componentes Principais Clusters Desenvolvimento Regiões Asymmetries Principal Components Clusters Development Regions