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Erschienen in: Social Indicators Research 1/2016

12.02.2015

Social Backwardness in Mexico City Metropolitan Area

verfasst von: Francisco Benita

Erschienen in: Social Indicators Research | Ausgabe 1/2016

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Abstract

This paper presents a methodology for estimating the index of social backwardness by urban blocks at Mexico City Metropolitan Area. The index, originally developed by the National Council for the Evaluation of Social Development Policy is a measure that seeks to establish differences between geographical areas located in the same region. The area of interest is inhabited by more than 20 million people assuming to be heterogeneous in their levels of quality of life. By closely following the official guidelines and by using the Population and Housing Census 2010, the obtained results are surprising. The urban block estimation suggests a 10.1 % of total population suffering from a high degree of social backwardness, contrary to the official measurements which sets it out around 0.3 %.

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Fußnoten
1
The urban Ageb delimitates urban areas, a whole locality of 2,500 inhabitants or more, or a municipal seat, regardless the number of people, in groups typically range from 25 to 50 blocks.
 
2
See e.g., CONAPO (2006, 2011, 2012) and CONEVAL (2007, 2011).
 
3
The reader is referred to Benita and Gómez (2013) for details of the algorithm imputation procedure.
 
4
The urban block that satisfies I ij = 0 for all j ∈ {1, …, m}.
 
5
All 16 boroughs from Mexico City (8,851,080 people), 59 from the 125 municipalities of the State of Mexico (11,165,200) and one from the 84 municipalities of Hidalgo (100,562).
 
6
In CONEVAL (2007) the first principal component is available to explain around 68 % of the variability at federal state level. At municipality and locality level, the first principal component explains the 55 and 40 % of total variance, respectively.
 
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Metadaten
Titel
Social Backwardness in Mexico City Metropolitan Area
verfasst von
Francisco Benita
Publikationsdatum
12.02.2015
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 1/2016
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-015-0889-6

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