Quality of Life in Portuguese Municipalities: A Multidimensional Approach

IF 0.5 Q3 AREA STUDIES Ekonomika Regiona-Economy of Region Pub Date : 2023-01-01 DOI:10.17059/ekon.reg.2023-3-16
A. Dionísio, M. C. Rego, T. Sequeira
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Abstract

The estimation of the level of development of a territory is an issue that has had different approaches and methodologies. If the first attempts were associated with determining the income generated and retained by the territory, the most recent indicators of quality of life or well-being are based on a multidimensional concept, improved by adding other dimensions including several variables. On the other hand, despite the statistical difficulties, analysis of smaller geographic units is closer to reality, allowing researchers to draw relevant and effective final considerations. Focusing on the case of Portugal mainland, an old country with strong and persistent development asymmetries, this work sought to examine the similarities and differences in various dimensions of the concept of quality of life, in the positioning of the chosen territorial units, the municipalities. Then, after collecting recent annual variables at the municipality level, data were processed using multivariate analysis. The construction of clusters revealed affinities between the municipalities. The results obtained show the asymmetries of development and well-being in the national territory, and their disaggregation, both in terms of the multiple dimensions under analysis and in terms of the municipalities. The study offers a greater and deeper understanding of the regional reality and consequently can favour the efficiency of cohesion policies.
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葡萄牙城市的生活质量:多维方法
估计一个地区的发展水平是一个有不同方法和方法的问题。如果最初的尝试与确定领土产生和保留的收入有关,那么最近的生活质量或福利指标则是基于一个多维概念,并通过增加包括若干变量在内的其他维度加以改进。另一方面,尽管存在统计上的困难,但对较小地理单位的分析更接近现实,使研究人员能够得出相关和有效的最终考虑。这项工作的重点是葡萄牙大陆的情况,这是一个古老的国家,具有强烈和持久的发展不对称,它试图检查生活质量概念的各个方面的异同,以及所选择的领土单位,市政当局的定位。然后,在收集了市级近期年度变量后,使用多变量分析对数据进行处理。集群的建设揭示了城市之间的亲和力。所获得的结果显示了国家领土上发展和福利的不对称,以及从所分析的多个方面和从市政当局的角度来看,发展和福利的不对称。该研究提供了对区域现实的更大和更深入的理解,从而有利于凝聚力政策的效率。
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来源期刊
CiteScore
1.80
自引率
20.00%
发文量
23
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