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New geography in old territories

A multivariate approach based on Portuguese regions

Bibliographic Data

ID7997659
AuthorsCarla Rego (0000-0002-1257-412X, corresponding author), Isabel Joaquina Ramos (0000-0002-8089-9372), María Raquel Lucas, Maria Da Saudade Baltazar (0000-0002-2995-820X), Andreia Dionísio (0000-0002-4289-9312)
Year2021
Volume8
Issue1
Pages25-50
Publication date2021-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRegional Studies Regional Science (JOURNAL)
Journal identifiersISSN: 2168-1376 • E-ISSN: 2168-1376
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21681376.2020.1860807
OpenAlexW3124101467
LanguageEN
Citations received2
References cited13

This paper studies the strongly asymmetrical distribution of the population, quality of life and economic development in Portugal. It identifies homogeneous areas supported by an analysis of competitiveness, cohesion and environmental quality dimensions. Drawing on a multivariate approach, its findings reveal differences in terms of development across the country. The study identified groups of regions with common characteristics that go beyond the standard north–south or coastal–inland distinctions. Metropolitan areas and export-oriented regions are clearly distinguishable from the remainder of the country. Economic agglomeration indicators, as gross domestic product per capita, population density, resident foreign population and youth index, among others, are those that reveal greater diversity across the country

Distribution (mathematics · Economic geography · Economic growth · Economics · Economies of agglomeration · Geography · Gross domestic product · Homogeneous · Metropolitan area · Multivariate statistics · Per capita · Population · Population density · Portuguese · Regional science · Sociology · Demography · Regional Development and Policy · Regional Economics and Spatial Analysis · Regional resilience and development

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Unique citing works2
Citations per year1
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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