Segregation and urban spatial structure in Barcelona

García-López, Miquel-Àngel; Nicolini, Rosella; Sabaté, José Luís Roig

doi:10.1111/pirs.12484

Cited by 9 publications

(9 citation statements)

References 43 publications

(50 reference statements)

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“…If we add to this that the spatial dependence on the cyclical sensitivity is still present when estimating the SEM and disappears with the SAR model, we consider that the latter is the true data‐generating process. These results, and especially the value of the ρ parameter in the SAR model, confirm the presence of global spatial dependence (LeSage & Pace, 2009; García‐López, Nicolini, & Roig, 2020; López‐Torres, Nicolini, & Prior, 2017) and therefore also the BWE hypothesis.…”

Section: Extensionssupporting

confidence: 62%

Labor supply and the business cycle: The “bandwagon worker effect”

Román

Cuéllar‐Martín

Blas

2020

Papers in Regional Science

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The relationship between labour force participation and the business cycle is a common topic in economic literature. However, few studies have examined if the cyclical sensitivity of labour force participation is influenced by social effects. In this paper, we construct a theoretical model defining a relatively new hypothesis, the bandwagon worker effect (BWE). We use spatial econometrics techniques to test the existence of the BWE in the local labour markets in Spain. Our results reveal a positive spatial dependence in the cyclical sensitivity of labour force participation that decreases as we fix a laxer neighbourhood criterion, which verifies the existence of the BWE.

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Section: Extensionssupporting

confidence: 62%

Labor supply and the business cycle: The “bandwagon worker effect”

Román

Cuéllar‐Martín

Blas

2020

Papers in Regional Science

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“…Our aim is to provide a general measure of the degree of the evenness of the distribution of the three selected communities for the whole city of Barcelona that is comparable over time despite urban administrative change in district structure. 18 In doing so, we complement the statistics produced in Garcia-Lopez et al (2020).…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

“…In this study, we adopt the same research strategy exploited in Garcia-Lopez et al (2020). We create a pseudo-panel data in the following way.…”

Section: Appendixmentioning

confidence: 99%

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Urban Spatial Structure in Barcelona (1902–2011): Immigration, Spatial Segregation and New Centrality Governance

García-López

Nicolini

Sabaté

2020

Appl. Spatial Analysis

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This paper investigates the impact of the city’s urban spatial structure in shaping population density distribution over time. This research question is relevant in Barcelona because urban population grew at a sustained pace in various decades due to intense immigration inflows. When the urban spatial structure fails to behave as the backbone of population density distribution, population distribution can suffer from polarization problems. We conduct our empirical study using an urban monocentric framework, tracking the different spatial distribution patterns of the overall population and a few selected urban communities in light of the degree of attractiveness of the central business district (CBD). To this end, we construct an original database by each district in Barcelona from 1902 to 2011 and perform an econometric analysis. Our results reveal that the urban spatial structure continued to be a crucial determinant over time for shaping the overall population distribution in Barcelona and in almost all selected communities. However, its importance fluctuated over time, bottoming out in the 1950s–1960s, and whose resurgence was mostly driven by the political initiative to create a new centrality in the urban periphery. This policy reinforced the attractiveness of the CBD, resulting in the de-facto avoidance of urban polarization.

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“…Unlike urban planning, which focuses on the spatial pattern of cities, this study highlights the spatial representation of human behavior and economic and social activities from a geographical perspective. Currently, the identification of the urban spatial structure focuses mostly on three facets: first, a model analysis and statistical testing approach are used to incorporate location information and spatial distance into the research framework of spatial structure identification based on statistical indicators such as population size and employment-population density (Li, 2020;Veneri, 2018;Garcia-Lopez et al, 2020;Luo et al, 2021). Second, identifying urban spatial information based on the multisource remote sensing data, including Landsat, MODIS, SPOT, DMSP-OLS, and other remote sensing data (Yang et al, 2022), is performed to help researchers identify urban boundaries and structures more objectively and accurately (Yang et al, 2021a;Dembski et al, 2021;He et al, 2021;Hajrasouliha and Hamidi, 2017).…”

Section: Introductionmentioning

confidence: 99%

Resource-based cities: Spatial structure and evolutionary identification based on nighttime light images

Zhang

et al. 2022

Front. Earth Sci.

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Dividing the development stage and grasping the best time to transition are significant for resource-based cities (RBCs). However, there is still a lack of research on how to judge the developmental stage of RBCs through objective indicators of urban development. Identifying the developmental stage of RBCs relies heavily on the researcher’s subjective judgment. Based on nighttime light data, this study utilizes the urban center primacy ratio as a unique indication of the growth stage of RBCs. This method is more detailed and objective than studies that define stages of development based on socio-economic indicators. It provides a fresh viewpoint on the stages of urban life cycle development. Based on the mining economy’s development cycle, the proportion of mining employees at 3.9% and 44.9% can be used to divide RBCs into growth, maturity, recession, and regeneration periods, with 3.9% serving as the dividing line between RBCs and non-RBCs. In addition, when an RBC reaches maturity, a particular range of the urban center primacy ratio has a positive correlation with the GDP growth rate and is negatively correlated outside of that range. This indicates that this period is crucial for the shift from agglomeration diseconomy to agglomeration economy. The government and social institutions can use this period to drive the economic transformation of RBCs through various policies and actions.

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Segregation and urban spatial structure in Barcelona

Cited by 9 publications

References 43 publications

Labor supply and the business cycle: The “bandwagon worker effect”

Labor supply and the business cycle: The “bandwagon worker effect”

Urban Spatial Structure in Barcelona (1902–2011): Immigration, Spatial Segregation and New Centrality Governance

Resource-based cities: Spatial structure and evolutionary identification based on nighttime light images

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