Comparing the quality of life of cities that gained and lost population: An assessment with DEA and the Malmquist index

Amado, Carla; Barreira, Ana Paula; Santos, Sérgio Pereira dos; Guimarães, Maria Helena

doi:10.1111/pirs.12448

Cited by 14 publications

(25 citation statements)

References 104 publications

(196 reference statements)

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“…Similarly to Amado et al (2019), Table 1 describes the main indicators considered in this study, identifies the previous works that have used the same or proxy indicators and explains the theoretical ground sustaining the relationship of these indicators with the QoL of cities.…”

Section: The Concept Of Quality Of Life (Qol) In Cities Constituent Dimensions and Indicators Of Qolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…This work extends from the work undertaken by Amado et al (2019). Although in the first analysis we use the same technique and dataset than Amado et al (2019), the purpose of our study is completely different. Amado et al (2019) used the DEA technique to compare the QoL of Portuguese cities that gained inhabitants with the QoL of the cities that lost inhabitants in a timeframe of twenty years.…”

Section: Introductionmentioning

confidence: 99%

“…Although in the first analysis we use the same technique and dataset than Amado et al (2019), the purpose of our study is completely different. Amado et al (2019) used the DEA technique to compare the QoL of Portuguese cities that gained inhabitants with the QoL of the cities that lost inhabitants in a timeframe of twenty years. Their objective was to identify whether shrinking cities present higher or lower QoL than growing cities.…”

Section: Introductionmentioning

confidence: 99%

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Assessment and Determinants of the Quality of Life in Portuguese Cities

Barreira

Amado

Santos

et al. 2020

International Regional Science Review

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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.

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Section: The Concept Of Quality Of Life (Qol) In Cities Constituent Dimensions and Indicators Of Qolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment and Determinants of the Quality of Life in Portuguese Cities

Barreira

Amado

Santos

et al. 2020

International Regional Science Review

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“…It lacks a single definition in the literature and its multiplicity and diversity are more frequently mentioned [Rapley 2003]. The literature, however, relatively commonly refers to the quality of life (cities included) as to the level of development of surroundings that allows fulfilling the needs of residents, on the individual level and in relation to economic relations [Carvalho et al 2018;Amado et al 2019;Diener 2006;Nefs et al 2013]. This concept is gaining importance when designing and implementing public policies, including urban policies.…”

Section: Urban Quality Of Life In the Light Of The Theorymentioning

confidence: 99%

The impact of the cohesion policy on the quality of life in big cities in Mazovia

Maćkiewicz¹,

Szczech-Pietkiewicz²

2020

MSR

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Contemporary urban policies pay great attention to improving the quality of life of the inhabitants. Such an increasing interest in the quality of life is caused by its crucial importance for the location decisions of households and businesses. In recent years, urban development has been largely financed by EU cohesion policy funds. The paper intends to identify the areas in which the quality of life of the inhabitants of large cities in Mazovia has improved thanks to the implementation of cohesion policy. The study took into account large cities in Mazovia with over 100,000 inhabitants, i.e. Warsaw, Radom and Plock. The survey is based on data collected for the research project: ‚The impact of the cohesion policy on urban development in 2007–2013’, provided by the Ministry of Development. This includes in-depth interviews with representatives of units responsible for development strategy in the cities covered by the survey and a questionnaire survey among beneficiaries of projects co-funded by EU funds. An analysis of databases of projects implemented in large cities in Mazovia, financed with the participation of EU funds, as well as a research of literature on the quality of life in cities in Mazovia were also conducted. The results indicate that the inhabitants see the most improvement in the quality of life in connection with better transport in the cities. The quality of life has increased thanks to faster and more comfortable commuting to work, which leaves more time for other activities and spending free time.

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