葡萄牙城市生活质量的评估和决定因素

IF 1.8 3区 经济学 Q3 ENVIRONMENTAL STUDIES International Regional Science Review Pub Date : 2020-12-11 DOI:10.1177/0160017620979611
A. Barreira, C. Amado, S. Santos, J. Andraz, M. H. Guimarães
{"title":"葡萄牙城市生活质量的评估和决定因素","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":"{\"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}
引用次数: 8

摘要

城市生活质量(QoL)越来越多地被用作城市成功的象征。然而,针对这一问题的研究往往侧重于大城市和/或不同国家的城市。本研究利用一组来自单个国家的数据,了解不同人口规模和密度的城市,对11个绩效维度进行观察,并采用数据包络分析(DEA)技术和多元回归建模相结合的方法,分析了葡萄牙城市的生活质量,并探讨了其一些决定因素。该分析结果表明,无论大小城市都可以提供高水平的生活质量,“交通和无障碍”、“安全”、“住房”、“教育”和“文化和娱乐”是对生活质量评估贡献最大的维度。虽然里斯本和波尔图(葡萄牙最大的两个城市)是基准城市,但位于其大都会区的一些人口稠密的城市在生活质量方面最具改善潜力。研究结果还表明,内陆城市的生活质量得分往往高于沿海城市。同样,人口规模和密度较低的城市、省会城市和人均经常公共支出较高的城市的生活质量水平较高。因此,这些发现表明,城市的类型、人口规模和密度,以及对地方政府公共支出的依赖,都会对其生活质量表现的差异产生显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.50
自引率
13.00%
发文量
26
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.
期刊最新文献
A Spatial Econometric Analysis of Productivity Variations Across US Cities Neighborhood Food Accessibility and Health Disparity: Examining the Impact of COVID-19 Using Spatial Models The Long Shadow of a Major Disaster: Modeled Dynamic Impacts of the Hypothetical HayWired Earthquake on California’s Economy A Review of the Literature About Broadband Internet Connections and Rural Development (1995-2022) Regional Implications of COVID-19
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1