Abstract
In recent years, we have witnessed the development of a political and academic discourse that, from different perspectives, points out the importance of innovative social action as a response to the challenges of the crisis and the so-called epochal change. Thus, we are told that addressing challenges such as climate change, the aging of the population, the precariousness of employment, or the growing financial difficulties of the Welfare State requires the development of innovative solutions in which citizens are expected to play a fundamental role.
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Notes
- 1.
Regrettably, information on the average income is not available in Catalonia at the census tract level. However, we have conducted a regression analysis for the 180 municipalities with more than 5000 inhabitants in Catalonia through which we check the correlation between the income level of each municipality and our four variables. The analysis confirms the strong significance of the correlation (Adjusted R2 > 0′97).
- 2.
A census tract (secció censal) is a statistical unit established with the purpose of collecting official data on population, economic activity, and other variables. Each municipality can be divided into a number of census tracts, but this cannot extend over municipal boundaries.
- 3.
The main sources of information for our variables are the Housing and Population Census of 2001 and 2001, as well as the data offered by the regional government of Catalonia (Generalitat de Catalunya) on the characteristics of housing and unemployment per census tracks.
- 4.
Statistically speaking, the ISS = σ_rσ_ℕ
Where:
-
σr = the standard deviation of the distribution of the observed variable
-
σℕ = the standard deviation of the normal distribution of the observed variable
-
SSI is =1 when the observed distribution corresponds completely to the normal distribution; it is <1 when the observed distribution is more homogeneous than the normal; and it is >1 when the observed distribution is less homogeneous than the normal. For more details on the methodology used in this part of the study see Donat (2017) and Nel·lo and Blanco (2018).
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- 5.
Thresholds for each variable have been determined by the rank x ± 1.28σ.
- 6.
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Blanco, I. (2021). Social Innovation Against Socio-spatial Segregation: The Case of Catalonia. In: Fregolent, L., Nel·lo, O. (eds) Social Movements and Public Policies in Southern European Cities. Urban and Landscape Perspectives, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-52754-9_7
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