Autocorrelação Espacial em Indicadores Relacionados com a Agricultura Portuguesa: Dados do Recenseamento Agrícola

• Autores: Vítor João Pereira Domingues Martinho
• Localización: Revista portuguesa de estudos regionais, ISSN-e 1645-586X, Nº. 73, 2026, págs. 53-64
• Idioma: portugués
• DOI: 10.59072/rper.vi73.761
• Títulos paralelos:
  • Spatial Autocorrelation in Indicators Related to Portuguese Agriculture: Data from the Agricultural Census
• Enlaces
  • Texto completo
• Resumen
  • English

    The spatial effects existand have their impacts when analyses that involve different countries, regions, or municipalities are made. Still, they are sometimesignored in these assessmentsand this may bring problems of robustness on the results and conclusions obtained. Additionally, the consideration of these spatial effects may bring relevant insights for the analyses.Itcan support better the design of common strategies and policies to deal with frameworks that involve different spatial units. In this perspective, this research aims to analyse the current context of the agricultural sector in Portugal and identify spatial autocorrelation effects for agricultural indicators in mainland Portuguese municipalities (parishes), considering the data from the Agricultural Census 2019. These indicators were interrelated through cross-section methodologies,based onthe Cobb-Douglas production function. The results obtained highlight relevant signs of spatial autocorrelation effects in different parts of Portugal’s mainland and the impact of some production factors on the levels of output

  • português

    Os efeitos espaciais existem e têm o seu impacto em análises que envolvem países, regiões ou municípios. No entanto, estes efeitos são, em certas circunstâncias, ignorados nestas avaliações, o que pode trazer problemas de robustez nos resultados e conclusões obtidos. Por outro lado, a consideração destes efeitos espaciais pode acrescentar valor para as análises que envolvam diversas localizações. Esta abordagem, pode, nomeadamente, apoiar uma melhor conceção de estratégias e políticas comuns para lidar com enquadramentos que envolvam diferentes unidades espaciais. Nesta perspetiva, esta investigação tem como objetivo analisar o contexto atual da agricultura Portuguesa e identificar efeitos de autocorrelação espacial em indicadores agrícolas nos municípios (freguesias) de Portugal Continental, considerando os dados do Recenseamento Agrícola de 2019. Estes indicadores foram relacionados através de metodologias cross-section, com base na função de produção Cobb-Douglas. Os resultados obtidos evidenciam indícios relevantes de autocorrelação espacial em diferentes zonas de Portugal Continental e o impacto de alguns fatores de produção nos níveis de output agrícola obtidos.

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