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Neighborhood inequality and spatial segregation: An analysis with tax data for 40 Spanish cities

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http://hdl.handle.net/2183/39214
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Title
Neighborhood inequality and spatial segregation: An analysis with tax data for 40 Spanish cities
Author(s)
Martín-Legendre, Juan-Ignacio
Castellanos-García, Pablo
Sánchez-Santos, José Manuel
Date
2021
Citation
Martín Legendre, J.I, Castellanos-García, P. & Sánchez Santos, J.M. (2021). Neighborhood inequality and spatial segregation: An analysis with tax data for 40 Spanish cities. Cities, 118, 1 – 13. DOI: 10.1016/j.cities.2021.103354
Abstract
[Abstract]: In this paper, we analyse the income distributions in 40 Spanish cities at the neighborhood level using tax data for the 2013–2018 period recently published by the national Tax Agency. To accomplish this, we use several inequality indicators, including the Gini coefficient and the Theil index, whose decomposition allows us to examine the level of segregation of the municipalities in the sample in depth. Our results reveal that the period immediately following the last economic crisis was characterized by an increased income concentration at the top of the distribution, which was mainly due to rising differences within the districts of each city, and by an incipient trend towards greater segregation by income level in the cities under analysis. Moreover, there are significant differences in inequality in the urban centres studied that are not necessarily attributable to the size of their population. Finally, over the period under review, the dependence on labour income and the tax burden were further reduced in the wealthiest districts.
Keywords
Income distribution
Income inequality
Neighborhood inequality
Urban planning
Urban segregation
 
Description
This version of the article has been accepted for publication, after peer review, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1016/j.cities.2021.103354
Editor version
https://doi.org/10.1016/j.cities.2021.103354
Rights
Atribución-NoComercial-SinDerivadas 4.0
ISSN
0264-2751

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