Como se pode distinguir Évora do resto do Alentejo?: Uma abordagem de estatística espacial
[How can Évora be distinguished from the rest of Alentejo: A spatial statistics approach]
AbstractÉvora (county and above all, the city) is often cited as a case of success in terms of regional development, as it stands out in terms of social, economic, and demographic indicators from the rest of the region where it is located, i.e. the Alentejo (Portugal). This fact makes it relevant: (i) to measure the 'distance', in terms of those indicators, between the municipality of Évora and the municipalities of the rest of Alentejo, and (ii) to detect the occurrence of spatial clusters in order to verify to what extent is positioned in advantage in relation to its neighboring counties, its NUT III (Alentejo Central) and its NUT II (Alentejo). In methodological terms, those two tasks are performed in the paper through the use of spatial statistical techniques, including multidimensional scaling and determination of local indicators of spatial association. These techniques, by their simplicity and easiness of application, can be readily used in other cases, which can be seen as a pedagogical purpose intrinsic to this work.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 22057.
Date of creation: 31 Jan 2010
Date of revision: 12 Apr 2010
Évora; Local indicators of spatial association; Multidimensional scaling; Portugal; Spatial autocorrelation; Spatial clusters.;
Find related papers by JEL classification:
- A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
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