A. Barreira, C. Amado, S. Santos, J. Andraz, M. H. Guimarães
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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.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"44 1","pages":"647 - 683"},"PeriodicalIF":1.8000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0160017620979611","citationCount":"8","resultStr":"{\"title\":\"Assessment and Determinants of the Quality of Life in Portuguese Cities\",\"authors\":\"A. Barreira, C. Amado, S. Santos, J. Andraz, M. H. Guimarães\",\"doi\":\"10.1177/0160017620979611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 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.\",\"PeriodicalId\":51507,\"journal\":{\"name\":\"International Regional Science Review\",\"volume\":\"44 1\",\"pages\":\"647 - 683\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2020-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/0160017620979611\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Regional Science Review\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1177/0160017620979611\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Regional Science Review","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1177/0160017620979611","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Assessment and Determinants of the Quality of Life in Portuguese Cities
The 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.
期刊介绍:
International Regional Science Review serves as an international forum for economists, geographers, planners, and other social scientists to share important research findings and methodological breakthroughs. The journal serves as a catalyst for improving spatial and regional analysis within the social sciences and stimulating communication among the disciplines. IRSR deliberately helps define regional science by publishing key interdisciplinary survey articles that summarize and evaluate previous research and identify fruitful research directions. Focusing on issues of theory, method, and public policy where the spatial or regional dimension is central, IRSR strives to promote useful scholarly research that is securely tied to the real world.