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- Assessment and determinants of the quality of life in portuguese citiesPublication . Barreira, Ana; Amado, Carla; Santos, Sérgio; Andraz, Jorge; Guimaraes, Maria Helenathe quality of life (QoL) in cities has increasingly been used as a symbol of urban success. Studies addressing this issue tend to focus, however, on large cities and/or on cities from different countries. By using a set of data from a single country, comprehending cities with different population sizes and densities, observations for 11 performance dimensions, and an approach combining the Data Envelopment Analysis (DEA) technique and multivariate regression modeling, this study analyses the QoL of Portuguese cities and explores some of its determinants. the results of this analysis show that both small and large cities can offer high levels of QoL with "transport and accessibility," "safety," "housing," "education," and "culture and entertainment" being the dimensions that most contribute to the QoL assessment. While Lisbon and Oporto (the two largest Portuguese cities) are benchmark cities, some of the highly populated cities located in their Metropolitan Areas present the most potential for improvement in terms of QoL. the results also show that cities located in the hinterland tend to present higher QoL scores than those on the coast. Equally, cities with lower population size and density, those that are district capitals and those with higher per capita current public expenditures present higher levels of QoL. These findings suggest, therefore, that the cities' typology, their population size and density, and their dependence from local governments' public expenditures can significantly contribute to the differences identified in their QoL performance.
- Comparing the quality of life of cities that gained and lost population: An assessment with DEA and the Malmquist indexPublication . Amado, Carla; Barreira, Ana; Santos, Sérgio; Guimaraes, Maria HelenaThis study compares the quality of life (QoL) of cities that lost population with that of cities that gained population. A unique dataset composed of observations for 11 dimensions of QoL for all mainland Portuguese cities is used. By employing a non-parametric approach (data envelopment analysis), and by using a Malmquist-type index, this study identifies differences in QoL between the group of cities that lost population and the group of cities that gained population, as well as differences within each group. Despite the heterogeneity in cities that shrunk, this group presents, on average, higher QoL than cities that have grown.