The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

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doi:10.5477/cis/reis.178.3

 The Role of Institutional Thickness in Persistent
        Urban Vulnerability within the Barcelona
                                Metropolitan Area
                                La vulnerabilidad urbana en la metrópoli de Barcelona.
                                  El rol de la densidad institucional en su persistencia
                                                 Fernando Antón-Alonso and Irene Cruz-Gómez

Key words                     Abstract
Qualitative Comparative       This study addresses urban vulnerability in the Barcelona metropolitan
Analysis                      area. The first stage involved constructing an urban vulnerability index
• Barcelona                   of metropolitan neighbourhoods to establish a hierarchical structure and
Metropolitan Area             carry out a longitudinal analysis for the period 2001-2011, identifying
• Institutional               change and persistence within the index hierarchy. The second stage
Thickness                     entailed conducting an explanatory analysis of the permanence of, and
• Hierarchical                transition to, extreme vulnerability, focusing on the role of institutional
Neighbourhood                 thickness. A methodology new to urban studies was used that was based
Structure                     on Qualitative Comparative Analysis (QCA). The results showed persistent
• Urban Vulnerability         extreme vulnerability in the area and provided evidence that institutional
                              thickness plays a complex and limited role in this phenomenon.

Palabras clave                Resumen
Análisis Cualitativo          La presente investigación aborda el estudio de la vulnerabilidad urbana
Comparado                     en el área metropolitana de Barcelona. En una primera fase, se construye
• Área metropolitana          un índice de vulnerabilidad urbana para los barrios metropolitanos
de Barcelona                  que permite establecer una estructura jerárquica y realizar un análisis
• Densidad                    longitudinal para el período 2001-2011 identificando el cambio y la
institucional                 persistencia dentro de la jerarquía. En una segunda fase, se procede a un
• Estructura jerárquica       análisis explicativo de la permanencia y la transición a la vulnerabilidad
de barrios                    extrema focalizado en el rol de la densidad institucional. Para ello se
• Vulnerabilidad urbana       utiliza una metodología novedosa en los estudios urbanos basada en el
                              análisis cualitativo comparado. Los análisis aportan evidencia sobre la
                              persistencia de la vulnerabilidad extrema en el territorio y el rol complejo y
                              limitado de la densidad institucional en el fenómeno.

Citation
Antón-Alonso, Fernando and Cruz-Gómez, Irene (2022). “The Role of Institutional Thickness in Per-
sistent Urban Vulnerability within the Barcelona Metropolitan Area”. Revista Española de Investiga-
ciones Sociológicas, 178: 3-22. (doi: 10.5477/cis/reis.178.3)

Fernando Antón-Alonso: Institut d’Estudis Regionals i Metropolitans de Barcelona | fernando.anton.alonso@uab.cat
Irene Cruz-Gómez: Institut d’Estudis Regionals i Metropolitans de Barcelona | irene.cruz@uab.cat

                                    Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
4                      The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

Introduction1                                                          This article seeks to analyse the evolution
                                                                   of urban vulnerability and its relationship to in-
Cities embody socio-economic inequalities                          stitutional factors based on institutional thick-
that divide the urban space into interrelated                      ness in the metropolitan area of Barcelona
fragments. Systems in which areas fully fa-                        (together with Madrid, Barcelon is the most
vored by economic, political and social dy-                        important metropolitan area in the Spanish ur-
namics coexist with areas that have a com-                         ban system). This objective is met by the use
bination of risk factors that place them and                       of Qualitative Comparative Analysis (QCA), a
their population in a position of vulnerability                    methodological innovation in the field of ur-
and exclusion. In the terms employed by Al-                        ban studies and one of the contributions of
guacil (2006), this phenomenon is charac-                          this article. This technique is well suited to the
terised by areas where multiple disadvan-                          analysis of two multidimensional phenomena
tage-related factors are concentrated.                             (namely, institutional thickness and urban vul-
    This accumulation of risk factors in cer-                      nerability), and the complex relationships that
tain urban spaces and the way they feed                            can occur between them; or, as will be dis-
back on themselves ultimately generate                             cussed below, what is referred to in QCA as
complex circular processes that reproduce                          “complex causality”.
urban vulnerability (Alguacil, 2014). The per-                        The article seeks to answer the following
petuation of these processes is an essential                       questions:
part of this phenomenon.
                                                                   1. What is the degree of persistence of ur-
    Theoretical and empirical evidence has
                                                                      ban vulnerability in the neighbourhoods
pointed to the importance of institutional
                                                                      of the Barcelona metropolitan area?
factors in defining vulnerable and excluded
spaces in cities. Institutional factors, un-                       2. What is the role of institutional thickness in
derstood from the perspective of Polanyi’s                            the persistence and downgrading of Bar-
modes of integration (1944), and applied                              celona metropolitan area neighbourhoods
to urban studies (Mingione and Morlicchio,                            at and up to the highest levels of vulnera-
1993; Kesteloot, 1998; Musterd, Murie and                             bility in the urban hierarchical structure?
Kesteloot, 2006) include the market, the
State, and mutual support networks. The                                 The article begins with a theoretical dis-
conjunction of these three multidimensional                        cussion of the concept of urban vulnerability,
factors makes it possible to introduce a                           the dynamics of transformation of the hierar-
novel concept in urban studies, that of “in-                       chical structure of neighbourhoods, and the
stitutional thickness”, understood as the                          introduction of the concept of institutional
degree and quality of the presence of the                          thickness as an explanatory factor. It then
corporate, State, and social institutions in                       describes the methodology used in the con-
the area, and their respective contributions                       struction and analysis of the urban vulnera-
to the resources necessary for the full in-                        bility index. This is followed by the methodo-
tegration of the population and their neigh-                       logical description and characteristics of the
bourhoods.                                                         QCA, before presenting the analyses of the
                                                                   role of the different components of institu-
                                                                   tional thickness in urban vulnerability. The re-
1 This article is part of a research project entitled “Inno-
vation and Metropolis: Social and political innovation,
                                                                   sults lead to the conclusion that neighbour-
institutional thickness and urban vulnerability in metro-          hoods with highest levels of vulnerability has
politan Barcelona” (Innovación y Metrópoli: Innovación             a high degree of persistence in this status.
social y política, densidad institucional y vulnerabilidad
urbana en la Barcelona metropolitana), funded by the               Moreover, there are some neighbourhoods
Barcelona Metropolitan Area in 2017.                               in the Barcelona metropolitan area with the

Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, Abril - June 2022, pp. 3-22
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                               5

highest vulnerability in which institutional                   and housing). These have been furthered by
thickness plays a role in defining their posi-                 other landmark studies in the field (Hernán-
tion in the hierarchical structure; however,                   dez, 1997; Hernández et al., 2018; OECD,
there are others in which the role of institu-                 1998; Arias, 2000; Ministerio de Fomento
tions is not a factor to be taken into account                 and Instituto Juan de Herrera, 2010; Temes,
in isolation. There are also various combina-                  2014; Uceda, 2016; Fernández-García et al.,
tions of factors that explain the persistence                  2018; Uceda, Sorando���������������������
                                                                              ����������������������������
                                                                                       and Leal, 2018), al-
and downgrading of neighbourhoods in ex-                       though longitudinal explanatory analyses
treme vulnerability.                                           of urban vulnerability are practically non-
                                                               existent, with some exceptions such as the
                                                               study by Uceda, Sorando, and Leal (2018).
Theoretical framework
Urban vulnerability as an expression                           The dynamics of change (and stability)
of urban inequality                                            in the socio-economic status
                                                               of neighbourhoods
Urban vulnerability is a concept rooted in
Robert Castel’s research into the processes                    The longitudinal analysis of neighbourhoods
of integration, vulnerability, and exclusion                   has been carried out by seeing them as dy-
(1995, 1997). In the early 2000s, the con-                     namic social spaces susceptible to changes
cept of social exclusion began to gain mo-                     in their demographic, social, economic, hous-
mentum in European urban studies. One of                       ing, or urban aspects (van Ham et al., 2013).
the reference points in the field is Musterd,                  Some analyses have highlighted the static
Murie and Kesteloot’s (2006) analysis of the                   nature of neighbourhoods by studying their
relationship between neighbourhood oppor-                      transformation dynamics in relative terms,
tunity structures and social exclusion.                        studying changes in relation to neighbour-
    In Spain, the concept of urban vulnerabil-                 hoods as a whole (Lupton, 2005; Tunstall,
ity was given meaning and developed by Ju-                     2016). These approaches have concluded
lio Alguacil (2006, 2014). Based on Castel,                    that neighbourhoods tend to perpetuate their
according to Alguacil, Camacho and Hernán-                     socio-economic status, a tendency most pro-
dez (2014), vulnerability and social exclusion                 nounced among those at the extremes of the
are reflected in urban spaces by the emer-                     hierarchical structure. Based on this theoreti-
gence of vulnerable areas. Different proc-                     cal framework, it is hypothesised here that
esses converge in cities (urban, socio-demo-                   “there is a high rate of persistence of the sta-
graphic, socio-economic and socio-political),                  tus of maximum vulnerability in the hierarchi-
generating integration, vulnerability and ex-                  cal structure of urban vulnerability in metro-
clusion logics similar to those that occur in                  politan neighbourhoods (H1)”.
the social structure, thus delimiting vulnera-
ble areas (Alguacil, 2006). What defines areas
                                                               The role of institutions and institutional
of urban vulnerability is precisely the combi-
                                                               thickness in the dynamics of urban
nation of multidimensional risks that concur
                                                               vulnerability
in the territory and limit the opportunities of
social mobility (Alguacil, 2006).                              The concept of institutional thickness has
    The first contributions to this avenue of                  been developed on the basis of economic ge-
research in the 1990s attempted to iden-                       ography, but has not been transferred to ur-
tify and study the disadvantaged areas in                      ban studies on urban exclusion. The contribu-
which multidimensional risk factors were                       tions by Karl Polanyi (1944) have enabled the
concentrated (related to work, education,                      construction of a conceptual and operational

                                      Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
6                      The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

framework in this field. Market exchange, re-                      clusion, except for those regeneration ac-
distribution represented by the welfare state,                     tions that introduced significant changes in
and reciprocity based on mutual support net-                       the socio-residential structure by increasing
works, are the three modes of integration that                     the housing stock for homeowners. Meen
make it possible for individuals to obtain the                     (2009) in an analysis of poverty traps in the
material resources to satisfy their life needs.                    UK noted the importance of having low lev-
    Several avenues of research in urban                           els of poverty close to a threshold for urban
studies have addressed the role of institu-                        regeneration interventions to change the so-
tions in processes of urban inequality and                         cio-economic status of neighbourhoods.
vulnerability, from the spatial justice frame-                         In Spain, little has been done to explain
work (Harvey, 1977) to neighbourhood ef-                           the dynamics of urban vulnerability. The case
fects (Galster, 2012; Wilson, 1987).                               study by Martínez (1999) on the physical and
    In Europe, welfare states have attempted                       social trajectory of “Parque Ansaldo” is par-
to compensate for positions of vulnerability                       ticularly interesting. It is marked by physical,
and exclusion in urban space through ter-                          economic, and social isolation, in which the
ritorial redistribution of institutions, neigh-                    lack of employment opportunities contributed
bourhood (urban and social) improvement                            to explaining the downgrading process expe-
policies, and increased public spending.                           rienced by the neighbourhood. More recent
Building on Polanyi, analyses by Kesteloot                         was Uceda, Sorando and Leal’s (2018) analy-
(1998) for Brussels and by Musterd, Mu-                            sis of the 29 housing estates built in Madrid
rie and Kesteloot (2006) for several Euro-                         between 1940 and 1990 according to their
pean cities have highlighted the importance                        level of urban vulnerability. The authors high-
of the welfare context, limited employment                         lighted the impact of the social mobilisation
opportunities, poor presence and quality of                        process on the different trajectories of the de-
public services, and weak local social net-                        velopments studied, but also the limited im-
works as risk factors that make it difficult to                    pact on their level of urban vulnerability.
overcome situations of exclusion.                                       The hierarchical status of neighbourhoods
    From the dynamic perspective of trans-                         and its variations are the result not only of
formations in the social status of neighbour-                      factors acting from within the neighbourhood
hoods, inputs have ranged from holistic                            itself, but also of external dynamics (Lupton
models, which hold that multiple elements                          and Power, 2004). In the US, along with the
are involved in neighbourhood trajectories,                        influence of metropolitan economic and pop-
including institutional ones (Grigsby, Baratz                      ulation dynamics on the evolution of socio-
and Maclennan, 1983; Temkin and Rohe,                              economic status or poverty levels in neigh-
1996; van Beckhoven, Bolt and van Kem-                             bourhoods (Galster and Mincy, 1993; Galster
pen, 2009), to empirical analyses in the Eu-                       et al., 2003; Jun, 2013), some empirical analy-
ropean context on the role of the state in                         ses have also shown the impact of the munic-
these trajectories, using welfare, housing,                        ipal context (Jun, 2013). In Europe, the analy-
and urban regeneration policies. For the UK,                       sis by Musterd, Murie and Kesteloot (2006),
Tunstall (2016) and Gibb, Meen and Nyg-                            stressed the importance of opportunity struc-
aard (2018) pointed to the absence of sig-                         tures at the local level, including finding job
nificant changes in the relative socio-eco-                        options suitable for low-skilled profiles and
nomic status of neighbourhoods with high                           the availability of connections to them, in or-
levels of deprivation that have been subject                       der to understand the differential dynam-
to comprehensive urban regeneration inter-                         ics of deprivation and vulnerability of neigh-
ventions or slum clearance. Zwiers, Van Ham                        bourhoods in different cities. The importance
and Kleinhans (2017) came to a similar con-                        of the municipal context in which vulnerable

Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, Abril - June 2022, pp. 3-22
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                               7

neighbourhoods are located was highlighted                     The dynamics of urban
by Nel·lo and Donat (2017) in their analysis
                                                               vulnerability in the
of vulnerable neighbourhoods and municipal
                                                               neighbourhoods in the
spending constraints in the Barcelona metro-
politan region. The authors showed that it was                 barcelona metropolitan area
the municipalities with the highest concentra-
                                                               The urban vulnerability index:
tion of vulnerable neighbourhoods that had
                                                               a methodological approach
the least spending capacity, which affected
their inability to reduce this concentration.                  The urban vulnerability index is constructed
    On the basis of the references consid-                     based on 4 dimensions and 8 indicators (Ta-
ered, it is proposed to operationalise insti-                  ble 1). The dimensions and indicators consid-
tutional thickness on the basis of five in-                    ered refer to socio-economics, employment,
dicators. Two are related to the market                        socio-demographics, and housing risks and
sphere, namely, labour market integration                      are in line with the referenced research on ur-
and business density; two are linked to the                    ban vulnerability. The main socio-economic
redistribution sphere, namely, municipal fi-                   risk is lack of income. Among the employ-
nancing capacity and level of urban inter-                     ment factors, three indicators are considered
vention; and the fifth indicator is represent-                 to capture the difficulties of labour market
ative of social networks of mutual support,                    integration: unemployment, low level of ed-
namely, association density. The starting                      ucation, and job insecurity. In terms of so-
hypothesis is that “the perpetuation of high                   cio-demographic risks, there are three major
levels of urban vulnerability or the existence                 processes experienced in recent decades in
of neighbourhood downgrading processes                         Spanish society: ageing, the arrival of popu-
are related to the combination of low levels                   lation from other countries with high levels of
of institutional thickness (H2)”, represented                  vulnerability associated with territorial inequal-
by each of the five indicators. Five comple-                   ities on a global scale, and the transformation
mentary hypotheses are proposed:                               of households. It seemed relevant to include a
H3a: “A low level of labour market integra-                    representative indicator of the latter process
     tion is related to remaining at or down-                  (single parenting), but the unavailability of reli-
     graded to the highest levels of urban                     able data meant that it could not be included.
     vulnerability”.                                           Finally, in the housing dimension, priority was
                                                               given to indicators representative of the qual-
H3b: “A low level of business density is rela-                 ity of the housing stock, including its condi-
     ted to perpetuating or downgraded to                      tion and space availability, both of which are
     the highest level of urban vulnerability”.                fundamental elements in identifying different
H3c: “Low municipal financing capacity is                      vulnerable populations in the territory.
     related to staying at or downgraded to                        The index has been calculated for 2001
     the highest level of urban vulnerability”.                and 2011, based on the Population and
H3d: “A low level of urban intervention is re-                 Housing Census (Censo de población y
     lated to remaining at or downgraded                       viviendas) and estimates of income groups
     to the maximum level of urban vulne-                      by census sections for small scales (Farré
     rability”.                                                et al., 2018). A factor analysis was con-
H3e: “A low level of association density is                    ducted in which the extraction of a sin-
     related to continuing at or downgra-                      gle factor is forced to obtain a latent vari-
     ded to the maximum level of urban                         able quantifying urban vulnerability. Higher
     vulnerability”.                                           scores corresponded to higher vulnerability
                                                               and lower scores to lower vulnerability. This

                                      Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
8                      The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

variable was then grouped into deciles to                          as a result of the rise in numbers during the
generate an ordinal measure.                                       first decade of the century, while the hous-
    The results of the KMO test indicated                          ing variables became less significant. There
that the variables used measured the la-                           are two possible explanations for the latter
tent concept satisfactorily for both years                         case. One is related to the improvements
(2001 = 0.78; 2011 = 0.73). Regarding the                          to the condition of residential buildings as a
temporal stability of the index, a key fac-                        result of refurbishment and regeneration ac-
tor to make a comparison between years                             tions carried out over the last few decades
(Fernández-García et al., 2018), the factor                        (Ruíz, 2018). And the other refers to some
structure was similar for both dates, with                         of the poorest quality housing being occu-
socio-economic and employment indica-                              pied by less vulnerable groups as a result
tors contributing most to the index although                       of population substitution processes, linked
with some qualifications (Table 1). The for-                       in some cases to gentrification processes
eign population is increasing in importance                        (Antón-Alonso, Porcel and Cruz, 2018).

Table 1. Dimensions, indicators, and factor saturations of indicators

                                                                                              Factor saturations

Dimensions                                            Indicators                         2001                      2011
                                                                                  (var. explained =         (var. explained =
                                                                                        50.0%                     40.1%)

                                           % Population with low income
Socio-economic vulnerability                                                             0.89                       0.77
                                           (
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                                                        9

distribution of the information from the cen-                                           be tested. It showed that two-thirds of the
sus sections (for which information is avail-                                           neighbourhoods in the first decile in 2001
able) to other territorial delimitations. This                                          remained in the first decile in 2011. The re-
was an estimation inspired by the Cadas-                                                sults obtained are in line with other research
tral-based Expert Dasymetric System, one                                                conducted in different contexts and with
of the areal interpolation methods that has                                             different indicators (Tunstall, 2016).
already been used in other studies (Maan-
tay, Maroko and Herrmann, 2007; Mora-
García and Martí-Ciriquian, 2015).                                                      Table 2. P
                                                                                                  ercentage of change experienced in the
                                                                                                 different neighbourhoods, 2001-2011

                                                                                                                         % of neighbourhoods
                                                                                               Decile change
Urban vulnerability in the Barcelona                                                                                          2001-2011
metropolitan area, 2001-2011                                                                         –6                            0.8
                                                                                                     –5                            0.3
Table 2 shows how the neighbourhoods                                                                 –4                            1.5
fared in the period under study. The data in-                                                        –3                            5.4
dicated a relatively low stability in the mem-                                                       –2                            6.7
bership decile (39.2%). Transitions were                                                             –1                           16.7
most likely to occur between the closest                                                              0                           39.2
deciles, with transitions of more than one                                                            1                           15.6
decile being less likely, demonstrating the                                                           2                            7.2
gradual nature of neighbourhood status                                                                3                            3.1
                                                                                                      4                            1.8
change processes. Table 3 shows a more
                                                                                                      5                            1.0
detailed analysis of the transitions between
                                                                                                      6                            0.5
deciles considering the decile of member-                                                             7                            0.3
ship at the beginning and end of the period
                                                                                        Source: Population and Housing Census (Censo de pobla-
and allowed hypothesis 1 on the persist-
                                                                                        ción y viviendas), 2001 and 2011.
ence of the highest vulnerability status to

Table 3. M
          atrix of metropolitan neighbourhood transitions by deciles according to vulnerability level in the vul-
         nerability index (grouped in deciles), 2001-2011

                                                                     2011 Urban Vulnerability Index

                                              10% most                                                           10% least
                                 Deciles                 10-20% 20-30% 30-40% 40-50% 50-60% 60-70% 70-80% 80-90%
                                              vulnerable                                                         vulnerable

                                 10% most
                                                65.8    15.8         7.9       2.6       5.3       0.0       0.0       2.6        0.0        0.0
                                 vulnerable
2001 Urban Vulnerability Index

                                 10-20%         25.6    35.9        10.3      12.8       5.1       7.7       2.6       0.0        0.0        0.0
                                 20-30%          5.4    18.9        51.4      13.5       5.4       0.0       2.7       0.0        2.7        0.0
                                 30-40%          5.1    12.8        10.3      28.2      20.5       7.7       5.1       2.6        5.1        2.6
                                 40-50%          0.0     7.7        10.3      23.1      25.6      12.8      17.9       2.6        0.0        0.0
                                 50-60%          0.0     5.3         7.9      10.5      13.2      23.7      18.4      15.8        5.3        0.0
                                 60-70%          0.0     0.0         2.6      12.8      10.3      17.9      23.1      28.2        5.1        0.0
                                 70-80%          0.0     2.6         2.6       2.6       7.9       7.9      21.1      26.3      23.7         5.3
                                 80-90%          0.0     0.0         2.6       0.0       0.0      12.8       7.7      20.5      38.5        17.9
                                 10% least
                                                 0.0     0.0         0.0       0.0       0.0       5.3       0.0       2.6      15.8        76.3
                                 vulnerable

Source: Population and Housing Census (Censo de población y viviendas), 2001 and 2011.

                                                               Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
10                     The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

The Relationship between urban                                         The phenomenon to be explained con-
vulnerability and institutional thickness                          sisted of cases that “remained at” or “were
in Metropolitan Barcelona                                          downgraded to” the highest level of vulner-
                                                                   ability. The set of neighbourhoods stud-
QCA: method and data
                                                                   ied here were those that were in one of the
An explanatory analysis was carried using                          following three possible situations: a) they
QCA. Although this method is practically                           were in the most vulnerable decile (first
never used in urban studies, it is ideal for                       decile) in 2001 and in 2011 they remained in
the objectives pursued due to the char-                            the same position (stable neighbourhoods);
acteristics of the sample. This method                             b) they were in a decile other than the first
is halfway between case-based (quali-                              decile in 2001, but in 2011 they were down-
tative) and variable-based (quantitative)                          graded to the first decile (downgraded
approaches (Marx, Cambré and Rihoux,                               neighbourhoods); c) they were in the first
2013), as it allows for a systematic com-                          decile in 2001 and in 2011 they had moved
parison of a set of cases and an in-depth                          up to a higher decile (improving neighbour-
study of the specific instances, their com-                        hoods).
mon features and their differences, sup-
                                                                       In QCA, the variable to be explained is
ported by background knowledge of the
                                                                   called the “outcome” variable. Variables
observations.
                                                                   related to the achievement of this out-
     QCA relies on set theory and Boolean                          come are referred to as “conditions”. In
algebra rather than on statistical proba-                          this case, the outcome variable was com-
bility analysis, which is a feature of quan-                       posed of neighbourhoods that were in the
titative analysis. This technique is based                         first decile at some point between 2001
on the analysis of whether cases fall into                         and 2011 (stable, declining and improving
certain configurations of conditions that                          neighbourhoods). The “conditions” were
must be present for an outcome to occur.                           the variables that represented institutional
The starting point is “complex causality”                          thickness.
(Legewie, 2013), an epistemic assump-
tion that different combinations of condi-                             The conditions covered the three
tions can produce the same outcome, and                            spheres of institutional thickness. The lim-
the same conditions, in varying combina-                           ited availability of indicators at the neigh-
tions, can lead to different outcomes (Me-                         bourhood level constrained the selection. In
dina et al., 2017). This approach is optimal                       relation to the labour market, the employ-
for the study of a phenomenon such as                              ment rate in the neighbourhood at the be-
vulnerability in neighbourhoods in differ-                         ginning of the period (2001) was considered
ent municipalities, for which no single ho-                        to be an indicator of the presence of the la-
mogeneous pattern can be expected, due                             bour market in the area. In line with other
to their diversity of situations and configu-                      studies (Galster and Mincy, 1993; Galster
rations.                                                           et al., 2003; Jun, 2013), it was hypothesised
                                                                   that the initial conditions of the neighbour-
   Those neighbourhoods of the metropoli-
tan area affected by the highest level of ur-                      hood affected its evolution.
ban vulnerability (as measured by the index                           Business density is the second indica-
presented) at some point in time during the                        tor of the labour market sphere. This in-
period 2001-2011 were selected. Together                           forms on the existence of a structure of
they made up a sample of 52 cases, repre-                          opportunities favourable to social inte-
senting 13.5% of the 385 metropolitan in-                          gration thanks to the labour market and
habited neighbourhoods.                                            income. In this case, the density at the

Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, Abril - June 2022, pp. 3-22
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                             11

beginning of the period was also consid-                       nisms. An indicator relating to the formal in-
ered. For this indicator, the territorial unit                 stitutions in the associations present in the
of reference was the municipality. While                       neighbourhoods was used. It was assumed
it is true that employment dynamics op-                        that other types of informal institutions of
erate on a metropolitan scale, conceiving                      mutual support may contribute to proc-
the indicator from a municipal perspective                     esses of vulnerability, but it was not pos-
makes it possible to discriminate within                       sible to include them due to a lack of data.
the metropolitan sphere. The neighbour-                        An indicator was generated that measured
hood scale proved to be insufficient due                       the density of bodies standardised by the
to its spatial limitation.                                     number of inhabitants in the neighbour-
    The area of redistribution also had two                    hood. The presence of associations was
indicators of institutional thickness. The                     considered for the whole period taking into
                                                               account the date of registration. Calibra-
first is public expenditure per inhabitant,
                                                               tion, which involves assigning membership
operationalised using the average value
                                                               scores to different conditions, has been
of the budget settlements in euros of the
                                                               carried out using QCA’s crisp-set variant.
city councils of the Barcelona metropolitan
                                                               In defining the cut-off points in the calibra-
area between 2001 and 2011. In the case
                                                               tion, endogenous references to the sam-
of Barcelona, the information was used at
                                                               ple were used which were verified against
district level. The municipality and the dis-
                                                               external data. The criterion was based on
trict were deemed to be a good scale due
                                                               the value of the first quartile of the distribu-
to the marked differences between the two
                                                               tion of each variable for the total number of
units, although the lack of information at
                                                               metropolitan neighbourhoods. Considering
the neighbourhood level constrained the
                                                               the first quartile as a threshold might initially
choice. This indicator was suitable for an
                                                               seem very strict, but it made it possible to
approximation of the role played by local
                                                               bring together the objectives to clearly dif-
administrations in reversing situations of
                                                               ferentiate the neighbourhoods in the sam-
high urban vulnerability.
                                                               ple from the rest of the metropolitan neigh-
    The second indicator in this dimension                     bourhoods, while simultaneously achieving
was the level of urban intervention in neigh-                  internal variability among the 52 cases un-
bourhoods based on the role of urban plan-                     der study. The calibration criteria are sum-
ning in the production of urban space. The                     marised in Table 4.
number of urban planning applications ac-
                                                                   The outcome variable was dichotomised
cumulated in the neighbourhoods between
                                                               into two groups: 1) neighbourhoods that
1991 and 2006 was used. This extensive
                                                               were part of the first decile in 2011 (ei-
period was considered because urban plan-                      ther because they continued to be in that
ning was deemed to transform the urban                         decile since 2001, or because they had
structure over a long timescale, as these                      fallen into the first decile); and 2) neighbour-
are processes that have taken place over                       hoods which, having been in the first decile
a long period of time since the date of ap-                    in 2001, were no longer in the first decile in
proval. A wide range of actions were in-                       2011 (neighbourhoods that had improved).
cluded, ranging from general planning to                       Of the total of 52 neighbourhoods in the
derived planning, but not including the ac-                    sub-sample, 25 remained stable in the first
tions of the Llei de Barris of the Govern-                     decile, 14 became more deprived (in to-
ment of Catalonia.                                             tal, 39 were in the first decile in 2011) and
   The last dimension of institutional thick-                  13 neighbourhoods had improved from the
ness took into account reciprocity mecha-                      first decile (Table 5).

                                      Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
12                     The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

Table 4. Calibration of the outcome and conditions

                                                         Rule for the         Dichotomisation key                External
       Variable                   Source
                                                          condition                and rules                 reference value

 Urban vulnerabil-       Population and Hous-          Persistence of         Key: 1 = persist-
 ity index 2001-         ing Census, 2001 and          high urban vul-        ence in first decile
 2011 (ivumax)           2011                          nerability or          or deprivation up to
                                                       deprivation up         first decile; 0 = exit
                                                       to the highest         from first decile
                                                                                                                     —
                                                       level of vulner-       Rule: 1 = persist-
                                                       ability                ence in first decile or
                                                                              deprivation up to first
                                                                              decile; 0 = exit from
                                                                              first decile

 Employment rate         Population and Hous-          Low level of la-       Key: 1 = low employ-          Employment rate
 2001 (tocup)            ing Census, 2001              bour market in-        ment rate; 0 = not            Catalonia (2001):
                                                       tegration              low employment rate           52.3
                                                                              Rule: 1: X < 49.6; 0: X
                                                                              > = 49.6

 Number of busi-         Department of Busi-           Low presence           Key: 1 = very low             Businesses per
 nesses in the mu-       ness and Employ-              of businesses          business        den-          thousand inhabit-
 nicipality per thou-    ment, Government of           in relation to         sity; 0 = not very low        ants in Catalonia
 sand inhabitants        Catalonia                     the population         business density              (2001): 80
 2001 (emprehab)                                                              Rule: 1: X < 25.0; 0: X
                                                                              >= 25.0

 Municipal public        Database of municipal         Low municipal          Key: 1 = low munici-          Sample median:
 expenditure (set-       budgets and settle-           financing ca-          pal public expenditure;       993 € per person
 tlements) per in-       ments, Generalitat de         pacity                 0 = not low munici-           per year
 habitant (average       Catalunya                                            pal public expenditure
 period 2001-2011)                                                            Rule: 1: X < 842; 0: X
 (expenditure)                                                                > = 842

 Number of urban         Urban planning regis-         Low level of ur-       Key: 1 = low level of         Sample median:
 planning applica-       ter of the Metropolitan       ban planning           urban planning inter-         51
 tions (1991-2006)       Area of Barcelona             intervention           vention; 0 = not low
 (nexpurb)                                                                    level of urban planning
                                                                              intervention Rule: 1: X
                                                                              < 22,8; 0: X >= 22,8

 Number of as-           Database of legal enti-       Low associa-           Key: 1 = low associ-          Density of asso-
 sociations in the       ties of the Department        tion density           ation density; 0 = not        ciations Catalonia
 neighbourhood           of Justice, Govern-                                  low association density       (2001): 8 per thou-
 per thousand in-        ment of Catalonia                                    Rule: 1: X < 3,1; 0: X        sand inhabitants
 habitants (with                                                              > = 3,1
 registration date
 up to 2011) (de-
 nas)
Source: Developed by the authors.

Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, Abril - June 2022, pp. 3-22
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                             13

Table 5. Neighbourhoods that were part of the QCA according to their evolution in the period 2001-2011

 Neighbourhoods that remained            Downgraded neighbourhoods                  Improving neighbourhoods
            stable                          (from D2, D3, and D4)               (towards D2, D3, and D4 or higher)

Badalona: Artigas; el Remei; la         Badalona: Congrés; Manresa;            Badalona: la Pau.
Salut; Pomar; Sant Roc.                 Sistrells.                             Barcelona: el Gòtic; el Poble-sec;
Barcelona: el Raval; la Barce-          Esplugues de Llobregat: Can Vi-        Torre Baró; Vallbona; el Bon Pastor
loneta; Sant Pere, Santa Ca-            dalet.                                 Castelldefels: Vista Alegre.
terina i la Ribera; la Marina del       Gavà: Centre-West Sector.              Cornellà de Llobregat: Sant Ildefons.
Prat Vermell; el Turó de la Peira;      L’Hospitalet de Llobregat: Can         El Prat de Llobregat: la Granja; Sant
Can Peguera; les Roquetes; Ver-         Serra.                                 Cosme.
dun; la Trinitat Nova; la Trinitat      Montcada i Reixac: la Ribera.          Sant Adrià de Besòs: la Catalana; la
Vella; Baró de Viver; el Besòs i el     Sant Joan Despí: Fontsanta; les        Verneda.
Maresme.                                Planes.                                Sant Boi de Llobregat: Camps
L’Hospitalet de Llobregat: Coll-        Sant Adrià de Besòs: el Besòs.         Blancs.
blanc; la Florida; la Pubilla Cases;    Santa Coloma de Gramenet:
la Torrassa; les Planes.                Fondo; Santa Rosa.
Sant Adrià de Besòs: la Mina.           Sant Vicenç dels Horts: la Guàr-
Santa Coloma de Gramenet: el            dia; Font Llargarut.
Raval; Safaretjos.

                  25                                       14                                      13
Source: Developed by the authors from the Population and Housing Census (Censo de población y viviendas), 2001 and 2011.

    Table 6 shows the averages of the con-                      metropolitan area. Business density, financ-
ditions of neighbourhoods that remained                         ing capacity, and association density were
stable or became more deprived, of im-                          significantly low for neighbourhoods that re-
proving neighbourhoods, of the total sam-                       mained stable and for those that became
ple of 52 neighbourhoods, and of the total                      more deprived. In contrast, the level of ur-
number of neighbourhoods in the Barcelona                       ban planning intervention was high.

Table 6. M
          eans of the conditions in the neighbourhoods included in the analysis, according to how they fared
         over time

                                     Neighbourhoods that                                                Total Barcelona
                                                                        Improving           Total
Conditions                        remained stable or became                                              Metropolitan
                                                                     neighbourhoods        sample
                                        more deprived                                                         Area

Labour market integration
                                                   46.20                     45.41            46.00            54.05
(2001)
Business density (2001)                            32.90                     35.92            33.65            34.31
Municipal financing capacity
                                               1,072.51                  1,204.18         1,105.43         1,075.71
(2001-2011)
Level of urban planning in-
                                                   91.13                     57.77            82.79            95.34
tervention (1991-2006)
Association density                                 6.63                     10.88             7.69             9.57
Source: Population and Housing Census (Censo de población y viviendas), 2001 and 2011; Department of Business and
Employment of the Government of Catalonia, 2001; Database of municipal budgets and settlement of the Government of
Catalonia, 2001-2011; Register of urban planning of the Barcelona Metropolitan Area, 1991-2006; Database of legal entities
of the Department of Justice of the Government of Catalonia.

                                      Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
14                     The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

   The neighbourhoods that formed part of                          ern area of Barcelona, the area around the
the first decile were geographically located                       mouth of the Besós river, and to the area
around three areas: the Ciutat Vella district of                   south of the municipality of Barcelona, around
the city of Barcelona, the northern the north-                     the mouth of the Llobregat river (Map 1).

Map 1. G
        eographic location of neighbourhoods that were part of the QCA, according to how they fared over
       the period 2001-2011

Source: Developed by the authors from the Population and Housing Census (Censo de población y viviendas), 2001 and 2011.

Institutional density as an explanatory                            tional thickness model. The following QCA
factor for high urban vulnerability                                models were used for this purpose:

The next step in the process involved con-                         Outcome (ivumax) = f (tocup,
ducting an in-depth analysis of specific pat-                      emprehab, gasto, nexpurb, denas)                             [1]
terns which explained the permanence or
further deprivation on the hierarchical struc-                        The model expressed in formula 1 above
ture of vulnerability, based on the institu-                       can be read as: the outcome (that a neigh-

Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, Abril - June 2022, pp. 3-22
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                             15

bourhood remains or becomes deprived                           gat were among those with the lowest finan-
and falls into the first decile) is the prod-                  cial capacity in the Barcelona metropolitan
uct of the lack of institutional thickness, un-                area. None of the three exceeded 800 eu-
derstood as the absence of labour market                       ros per inhabitant (euros/inhab.), the metro-
(low levels of employment and low business                     politan average being 1,076 euros/inhabitant.
presence in the area), the absence of the                      Badalona (748.8 euros/inhab.) had the low-
State (low levels of public investment and                     est budget settlement of the 36 metropolitan
low levels of urban planning intervention),                    municipalities, Santa Coloma the third low-
and the absence of support networks (low                       est (771.3 euros/inhab.), and l’Hospitalet the
levels of association density).                                fifth lowest (793.4 euros/inhab.). Similarly,
   Table 7 summarises the different combi-                     the business density of the three municipali-
nations of conditions linked to the outcome                    ties was among the lowest in the metropolis.
                                                               Santa Coloma was 16 points below the met-
using modern notation (Medina et al., 2017).
                                                               ropolitan average of 34.3‰, with Badalona
According to this criterion, all conditions are
                                                               and l’Hospitalet being 10 points below. The
shown in lower case and those that are ne-
                                                               budgetary constraints and poor economic en-
gated are preceded by the symbol “~”. The
                                                               vironments in these municipalities are limiting
combination of conditions is defined by the
                                                               factors that perpetuate and the downgrading
symbol “*” or Boolean multiplication, equiv-
                                                               to the highest level of vulnerability. This is par-
alent to the logical operator “AND”.
                                                               ticularly pronounced in a context of economic
     This model yielded six patterns or combi-                 crisis in which the greatest impact was felt by
nations of conditions that explained the pres-                 the most vulnerable population in the Barce-
ence of the outcome in 61.5% of the neigh-                     lona Metropolitan Area (Sarasa, Porcel and
bourhoods (solution coverage). Of these six                    Navarro-Varas, 2013).
patterns, only the first one had a high ex-
                                                                    As the pattern shows, these situations of
planatory power (raw coverage). Three con-
                                                               vulnerability do not seem to be improvable in
ditions converge in this pattern: low business
                                                               relative terms through urban planning inter-
density, low municipal spending capacity,
                                                               ventions. These have been abundant in these
and not low levels urban planning interven-
                                                               neighbourhoods, with an average of 100 in-
tion. There was a total of 19 neighbourhoods
                                                               terventions compared to 95 in the metropoli-
(46.0%) that were consistent with this pat-
                                                               tan neighbourhoods as a whole (see Table 6).
tern, of which 18 were among the stable
                                                               Some neighbourhoods have had higher levels
or downgraded ones, and one had incon-
                                                               of urban planning intervention than neighbour-
sistent behaviour. The la Pau neighbour-
                                                               hoods that were upgraded or were ranked
hood shared the characteristics described
                                                               higher. This is the case of Collbanc (231), la
by the pattern, despite being among the                        Torrassa (145) and la Pubilla Cases (137) in
cases that had improved between 2001 and                       l’Hospitalet de Llobregat, Fondo (178) and el
2011. However, inconsistency can be con-                       Raval (166) in Santa Coloma de Gramenet,
sidered to be one of degree rather than sub-                   and la Salut (118), Sant Roc (115) and Sis-
stance, as the neighbourhood moved from                        trells (100) in Badalona. Urban planning inter-
the first to the second decile between the                     ventions succeeded in reducing inequalities
two dates. Among the 19 neighbourhoods,                        between neighbourhoods in terms of facili-
9 belonged to Badalona (47.4% of the 19), 6                    ties and improvements in amenities, public
to l’Hospitalet de Llobregat (31.6%), and 4 to                 spaces, and green areas (Ruíz, 2018), as well
Santa Coloma de Gramenet (21.0%).                              as improving the living conditions of their resi-
   The municipalities of Badalona, Santa Co-                   dents, but they did not change the vulnerable
loma de Gramenet and l’Hospitalet de Llobre-                   status of these neighbourhoods.

                                      Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
16                     The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

Table 7. Sufficient conditions analysis (positive outcome: stability in the first decile or downgrading to the first decile)

                                  % cases       % unique                Consistency
         Combination of
 No.                           explained (raw cases (unique               of the               Cases (neighbourhoods)
           conditions
                                 coverage)      coverage)                outcome

                                                                                           Badalona: Artigas, Congrés, el
                                                                                           Remei, la Pau, la Salut, Manresa,
                                                                                           Pomar, Sant Roc, Sistrells.
                                                                                           L’Hospitalet de Llobregat: Can
       gasto * ~nexpurb *                                                                  Serra, Collblanc, la Florida, la
  1                                  0.462               0.231               0.947
       emprhab                                                                             Pubilla Cases, la Torrassa, les
                                                                                           Planes.
                                                                                           Santa Coloma de Gramenet: el
                                                                                           Raval, Fondo, Safaretjos, Santa
                                                                                           Rosa.
                                                                                           Badalona: Artigas, Congrés, el
                                                                                           Remei, la Salut, Manresa.
                                                                                           Esplugues de Llobregat: Can Vi-
       gasto * ~nexpurb                                                                    dalet.
  2                                  0.231               0.026               1.000
       *tocup~denas *                                                                      L’Hospitalet de Llobregat: Coll-
                                                                                           blanc, la Torrassa, les Planes.
                                                                                           Santa Coloma de Gramenet: Sa-
                                                                                           faretjos.
                                                                                           Sant Vicenç dels Horts: la Guàrdia.
       gasto * ~nexpurb *
  3                                  0.051               0.000               1.000         Santa Coloma de Gramenet:
       ~tocup* denas
                                                                                           Santa Rosa.
                                                                                           Montcada i Reixac: la Ribera.
       nexpurb * ~tocup*
  4                                  0.051               0.026               1.000         Sant Vicenç dels Horts: Font Llar-
       ~emprhab * denas
                                                                                           garut.
       ~gasto * ~nexpurb
                                                                                           Barcelona: les Roquetes.
  5    * tocup * denas *             0.051               0.051               1.000
                                                                                           Gavà: Centre-West Sector.
       ~emprhab
       gasto * ~tocup *                                                                    Sant Vicenç dels Horts: la Guàr-
  6                                  0.051               0.000               1.000
       ~emprhab * denas                                                                    dia, Font Llargarut.

Frequency cut-off: 1; consistency cut-off: 0,8; solution coverage: 0,615; solution consistency: 0,960.
Source: Developed by the authors from the Population and Housing Census (Censo de población y viviendas), 2001 and 2011.

   The analysis shows that there were other                        faretjos) regarding the first pattern. In the
persistence and degradation pathways, al-                          cases where different patterns converged
beit with a lower explanatory capacity. In                         in neighbourhoods, there were complemen-
the second pattern, two new conditions,                            tary outcomes that reinforced the impact of
non-low association density and low em-                            configurations on neighbourhoods’ persist-
ployment rate, interacted with the condi-                          ence at the highest level of vulnerability or
tions of having a low financing capacity                           downgrading to the point of vulnerability.
and non-low levels of urban planning inter-                            The remaining four patterns explain only
vention. This provided the same explana-                           2 cases each (5%, respectively) where insti-
tory capacity for 9 neighbourhoods (Arti-                          tutional thickness took different forms from
gas, Congrés, el Remei, la Salut, Manresa,                         those seen in the first two configurations.
Collblanc, la Torrassa, les Planes and Sa-                         These explanatory patterns broadened the

Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, Abril - June 2022, pp. 3-22
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                             17

scope of impact beyond the municipalities                      Conclusions
that had the most vulnerable neighbour-
hoods, which were located in the areas of                      This paper has discussed the dynamics of
metropolitan growth par excellence of the                      urban vulnerability and its relationship with
1950s-1975s.                                                   institutional thickness by analysing the Bar-
    Overall, the model had a partial explan-                   celona metropolitan area. The first section
atory power: the progress made by a con-                       examined how urban vulnerability in met-
siderable number of neighbourhoods can-                        ropolitan neighbourhoods had fared from
not be explained by any of the patterns, and                   2001 to 2011 by constructing a multidimen-
the patterns were imperfectly consistent (Ta-                  sional index. This is one of the main original
ble 8). The municipality of Barcelona was the                  contributions of the article, it has provided a
one with the highest number of cases that                      longitudinal analysis based on standardised
did not fit any of the patterns. The model’s                   spatial units. In line with previous research
limited explanatory capacity for Barcelona’s                   (Tunstall, 2016), the results have led to the
neighbourhoods lies in the fact that both                      conclusion that metropolitan neighbour-
business density and the level of municipal                    hoods have a certain level of dynamism in
public spending are very high in Barcelona                     the vulnerability continuum, and their mobil-
and its respective districts when compared                     ity that tends to be gradual in the hierarchi-
to the rest of the metropolitan area. The                      cal structure and reduced at the ends of the
most disadvantaged neighbourhoods in Bar-                      hierarchical structure, in the most and the
celona have higher budgets than the most                       least vulnerable neighbourhoods. The re-
vulnerable neighbourhoods in Badalona,                         sults corroborate the hypothesis that there
l’Hospitalet de Llobregat, Sant Adrià de Be-                   is high persistence of extreme vulnerability
sòs and Santa Coloma de Gramenet. This                         in the area around the Ciutat Vella district
makes it difficult for their neighbourhoods to                 of Barcelona and the Besòs and Llobregat
follow a common pattern with other neigh-                      axes. Extreme and persistent urban vulner-
bourhoods in these four municipalities.                        ability informs about neighbourhoods that
                                                               operate as metropolitan spaces where vul-
                                                               nerable population concentrate and there is
Table 8. N
          eighbourhoods not conforming to the                 multidimensional deprivation. This speciali-
         patterns identified
                                                               sation is partly caused by the growth of the
    Neighbourhoods that             Downgrading                Barcelona Metropolitan Area between 1950
      remained stable              neighbourhoods              and 1975, when the neighbouring munici-
                                                               palities on the southern and northern areas
Barcelona: el Raval; la Bar-     Sant Joan Despí:
celoneta; Sant Pere, Santa       Fontsanta; les Planes.        of the city took in populations with scarce
Caterina i la Ribera; la Ma-     Sant Adrià de Be-             economic resources in massive urban de-
rina del Prat Vermell; el Turó   sòs: el Besòs.                velopments, many of them unplanned and
de la Peira; Can Peguera;                                      with low-quality housing and environments.
Verdun; la Trinitat Nova; la
                                                               Moreover, the renewal and diversification
Trinitat Vella; Baró de Viver;
el Besòs i el Maresme.                                         of the metropolitan housing stock resulting
Sant Adrià de Besòs: la                                        from the real estate boom (1997-2007) has
Mina.                                                          led to a relative devaluation of the housing
Santa Coloma de Gramenet:                                      areas of poorer quality and location, a de-
el Raval; Safaretjos.
                                                               valuation process shared with that experi-
          12 (48.0%)                    3 (21.4%)              enced by other European vulnerable envi-
Source: Population and Housing Census (Censo de pobla-
                                                ������         ronments (Hess, Tammaru and van Ham,
ción y viviendas), 2001 and 2011.                              2018).

                                      Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
18                     The Role of Institutional Thickness in Persistent Urban Vulnerability within the Barcelona Metropolitan Area

    The explanatory analysis of the persist-                       status of neighbourhoods, as several anal-
ent vulnerability focused on the most vul-                         yses have shown with area-based policies
nerable neighbourhoods presented in the                            (Gibb, Meen and Nygaard, 2018; Tunstall,
second part of the study is another impor-                         2016; Zwiers, van Ham and Kleinhans,
tant contribution of the article, given the                        2017). The inadequacy of interventions can
scarcity of explanatory analyses of the phe-                       be explained by a number of reasons. One
nomenon in Spain. The research was based                           is the type of interventions carried out and
on a method that is new to urban studies,                          their potential to transform situations of
QCA, which provided evidence of the rela-                          very high vulnerability. The analysis pre-
tionship between urban vulnerability and in-                       sented here has focused on neighbour-
stitutional thickness. A number of conclu-                         hoods with extreme vulnerability, where
sions can be drawn from the results. First,                        more structural interventions are necessary
QCA confirmed the hypothesis concerning                            to change the socio-economic profile (Zwi-
the diversity of patterns of persistence and                       ers, van Ham and Kleinhans, 2017). Fol-
downgrading to extreme vulnerability: the                          lowing Meen (2009), it is also worth con-
outcome of remaining or becoming down-                             sidering the distance that separates these
graded to the bottom decile was obtained                           highly vulnerable neighbourhoods from
through different causal configurations of                         the rest and how far they are from a hypo-
institutional factors.                                             thetical threshold from which actions could
    Only the financial ability of the munici-                      generate a significant change in their rela-
pality and the density of its business fab-                        tive status.
ric behaved in the manner put forward by                                The analyses presented have some
the hypotheses. These results show the                             room for improvement. For example, as
importance of the municipal context in the                         far as the sources of information allow, it
persistence of, and downgrading to, ex-                            would be desirable to refine certain ex-
treme vulnerability. In the case of munici-                        planatory indicators, such as municipal fi-
pal spending capacity, as Nel·lo and Do-                           nancing or association density. This could
nat (2017) pointed out, the concurrence                            be done by selecting the budget items ear-
of a high concentration of highly vulner-                          marked for improving living conditions in
able neighbourhoods and financial weak-                            the former, and the associations whose ac-
ness make it difficult to reverse. The den-                        tivity is based on this objective in the lat-
sity of the business fabric also represented                       ter. Finally, there are many neighbourhoods
a potential handicap in meeting the low-                           where institutional factors do not have a
skilled employment needs of a significant                          clear impact. For the Barcelona neighbour-
proportion of the population in the most                           hoods that remain in a situation of extreme
vulnerable neighbourhoods. Coupled with                            vulnerability, it has not been possible to
connectivity problems, as Musterd, Mu-                             describe a single explanatory pattern. It
rie and Kesteloot (2006) pointed out, there                        would be necessary to take the analysis
is a high likelihood of perpetuating ex-                           further through the use of other indicators
clusion processes. Urban development                               of institutional thickness, such as the pres-
planning, contrarily, behaved in the op-                           ence and quality of facilities, and introduc-
posite way to the hypotheses proposed,                             ing other conditions related to other dimen-
as more interventions were found to have                           sions. The inclusion of these elements may
been concentrated in the most vulnerable                           broaden the explanatory scope and further
neighbourhoods. Urban interventions are a                          diversify the explanatory patterns by which
necessary condition, but they are not suf-                         neighbourhoods are downgraded or remain
ficient to substantively change the relative                       at high levels of vulnerability.

Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, Abril - June 2022, pp. 3-22
Fernando Antón-Alonso and Irene Cruz-Gómez                                                                             19

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                                      Reis. Rev.Esp.Investig.Sociol. ISSN-L: 0210-5233. N.º 178, April - June 2022, pp. 3-22
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