- Case study
- Open Access
Local security policies and the protection of territory: an analysis of the Italian experience (2007-2009)
© Calaresu and Tebaldi; licensee Springer. 2015
- Received: 29 August 2014
- Accepted: 2 December 2014
- Published: 9 January 2015
This paper explores the territorial dimension of local security policies, with reference to the “Security Pacts” signed in Italy between 2007 and 2009. These Security Pacts are an innovative instrument introduced by the central government, aimed at changing the model of security governance at the local level. After describing how Security Pacts have spread, and which institutional actors have participated in them, this study aims at deepening the analysis of their territorial dimension. More specifically, the research question at the basis of this study focuses on the identification of factors that can explain why the pacts feature variations in numbers and types of public administration at different levels, and why they tend to acquire particular spatial configurations rather than others. Three hypotheses are tested based on empirical data (obtained using a Quantitative Narrative Analysis with the aid of Geographic Information Systems and other statistical tools) used to identify which variable may best explain the propensity to use such pacts to solve security-related issues in different areas of the country.
- Local security policy
- Security Pacts
- Contractualization of public policies
- Quantitative narrative analysis
- Geographic information systems
- Protection of territory
The security issue is one of the core themes of the public discourse in so-called “full-grown democracies” (Hughes et al. 2002), and it is closely connected to both the trends in types of crimes and the responses from public (governmental, administrative, judicial, penal) authorities on this social issue (Dei Delitti e Delle Pene 2002; Morlino et al. 2013; Pajno 2010). It is also influenced by the perception that people have of both elements (Castels 2003; Simon 2007). In the political market—in particular as far as citizen demand is concerned—an increasingly higher demand for protection of public order has been recorded over the last 15 years, requiring more extensive guarantees on personal safety, better protection against acts of terrorism, and even demands to be able to live a quality life in conditions of “full security” (Boutellier 2004; Bauman 2005, 2008). Security has become a real “obsession” (Curbet 2008) that citizens share, or at least charge to their elected representatives at all levels of government (Garland 1996, 2001; Hughes and Edwards 2002). On the political offer side, at the same time, policy platforms developed to meet that demand and to guarantee a more effective institutional response to the perception of insecurity voiced by the people (Lagrange 1993; Baratta 2001; Pavarini 2006b; Recasens i Brunet 2007; De Micheli and Tebaldi 2013; Moroni and Chiodelli 2014).
Among the different instruments used to inform such policies, we assisted to the spread of contractualization practices (Gaudin 1996, 1999; Lascoumes and Le Galés 2004), to be considered as “one of the most significant processes of political-administrative change”a (Bobbio 2000: 112) in contemporary democracies. Through such practices, policies are defined and implemented on different subjects, purposes, stakeholders, territorial scalesb or scopes of action. In practice, they may generally be regarded as explicit agreements on matters of public interest,c submitted in written form, in which the parties declare publicly to approve a plan or course of action, or mutual commitments; putting their own resources (not necessarily financial resources) to a shared purpose, and agreeing on when and how to implement this (Bobbio 2000).
Italy is no exception with regard to the above-mentioned contractualization processes. The topic of urban and local security, although emerging later than in the UK and France (Braccesi 2005: 25; Selmini 2005a: 15–16), was developed in Italy by institutional reforms in the late 1990s (Amendola 2003; Mazzette 2003a; Selmini 2004, 2005b; Braccesi and Selmini 2005; Pavarini 2006a). However, since 2005, the relations of cooperation and collaboration between state institutions, regional and local authorities in the field of security have been institutionalized through the signing of new agreements (Calaresu 2012, 2013), designed to overcome the weaknesses of the previous inter-institutional cooperation model as tested during the so-called “first contractual season” (1998–2005)d. On March 20th, 2007e, a framework agreement on the security of urban areas was signed between the then Minister of Home Affairs Giuliano Amato, ANCI President Leonardo Domenici, and the mayors of the metropolitan cities (Governo Italiano - Ministero dell’Interno 2007)f. The National Pact was designed to initiate—within sixty days—as many agreements as possible within the framework of a relationship of subsidiarity between public bodies and regional and local administrations.
Legislative decree No. 92, formalized on September 13th, 2008 with the drafting of another agreement between the National Association of Small Municipalities (ANPCI) and the Ministry of Home Affairs (Law no. 125 of 2008), extends the application of “coordinated plans of territorial control”, and the strengthening of logistics and instrumental and financial collaboration between state and local authorities, provided for by the 2007 Finance Act, to small and medium-sized entities; selecting groups of municipalities where the pacts could be implemented (Governo Italiano – Ministero dell’Interno 2008).
The dates reported above mark the days when the “second contractual season” started (2007–2009). The new generation instruments paved the way for a model of security governance different from the previous one, and based on which local administrations seem to be granted the capability to acquire more powers and responsibilities with regard to urban and local security (Martin and Selmini 2000; Calaresu and Padovano 2011). These “Security Pacts” pursue the objective of collaboration between central and peripheral bodies, through the development of an integrated security system; with tasks and responsibilities distributed among different governance levels (Calaresu 2012). In an attempt to start new forms of cooperation between the central government and the local level, the pacts provide a two-fold additional function. On the one hand, they bind prefectures, the peripheral bodies of the central government, to agree to promote certain activities with regional and local authorities, and to share their information. On the other hand, they redistribute responsibilities within the prevention and control functions, allowing local police to cooperate in the fields of prevention and repression with national-level services.
The municipalities are the main actor involved in the signing of the pacts with the prefectures. Indeed, only on one occasion did the provincial authority sign the agreement without involving the municipality (or more municipalities). The synergy between the municipality and the province is the most widely used—40% of the cases—higher than the agreements signed by a single municipality or a group of municipalities with the prefecture (30%). The full institutional configuration, involving all local authorities (region, province(s) and municipality(s)) is the least common, being perhaps the most difficult to obtain owing to the large number of institutional actors involved in the agreement.
Case description: where have the “Security Pacts” been signed? A preliminary analysis on the geographical areas
Distribution of Security Pacts by geographical area and demographic size of the municipalities with Pacts
Up to 5000
In the North West, nearly 90% of the signatory municipalities are reported to be small or very small in size (less than 15,000 inhabitants), but there is a widespread distribution of pacts in the area. While in the South, the opposite seems to happen: the municipalities that signed the pacts turned out to be only three in number; all of them being large-sized (between 50,000 and 250,000+).
Data and methods: from words to numbers (and maps)
After analysing the background data, the discussion covers empirically relevant aspects connected to the dependent variable being taken into account, that is, the aspects that make it possible to understand the Security Pacts signed in Italy between 2007 and 2009h. The goal is to understand the geographical configurations of these pacts. Based on the linguistic and textual characteristics of the afore-mentioned documentsi , which may be considered as a “narrative” text, Quantitative Narrative Analysis (QNA) methodology was implemented (Franzosi 2004, 2010). Narrative is a text genre with distinct, perhaps invariant, structural characteristics as follows: 1) chronologically ordered sequences of events, 2) actors doing “things” to the benefit or detriment of other actors, as typically rendered linguistically by the simple structure SVO, Subject-Verb-Object, a structure also known as “story grammar” (an invariant structure of narrative approximately corresponding to the 5 W’s of journalism—Who, What, When, Where, Why—with the potential addition of several more elements); and 3) The number of steps in these sequences is limited and invariant within specific narrative types (Franzosi 2004).
QNA is an approach that allows structuring the narrative information contained in documents with the purpose of collecting data into a “story grammar”. Security Pacts are indeed characterized by a Subject-Verb-Object structure (SVO). The signing actors (institutional bodies such as the prefect’s offices, the municipalities, the regions) mutually commit (or engage other operators, such as the police forces) to achieve objectives (training activities, cooperation, organization…), through specific actions, mostly of a relational nature (coordination, communication, funding, and so on), in a given action space. In a nutshell, QNA, through its “rewrite rules” (Franzosi 2010: 24), allows the encoding of the “events” (Rimmon-Kenan 1983: 2) that are present in the source text, and sets them within an organizational structure consisting of narrative and non-narrative data. Using software specifically designed for this task, PC-ACEj, a relational database system was generated (07_SecuPacts_09). More specifically, the relational properties of the database made it possible to convert words into numbers (Franzosi 2004). All the available information contained in the database was then exported (via Structured Query Language) and analysed, for the purpose of this paperk, with the aid of Geographic Information Systems (ArcGIS)l software, and by means of SPSSm. ArcGIS software describes the relationships between the stakeholders and related spatial data, on the basis of their common geographical frame of reference. In this study, the maps highlight the spatial distribution of Security Pacts.
Why there? Three hypotheses on security localization
This section focuses on the identification of the reasons why local administrations in different areas of the country tend to use pacts as instruments to solve security-related issues. In particular, it focuses on the analysis of the factors that may persuade administrations to create specific geographical configurations; namely to adjust this security tool based on specific spatial and administrative boundaries, and with specific goals. Three hypotheses were constructed for empirical testing:
Hypothesis 1: The specific territorial configurations of Security Pacts depend on the political colour of the majority party or majority coalition running local institutions. A pact is the result of specific policy choices connected to the will of the political parties involved, and tends to occur whenever the institutions that initiate it have the same political affiliation.
Hypothesis 2: Regardless of their political colour, the spatial configuration of the Security Pacts depends on the size and demographic density of urban areas. The most densely populated regions tend to be those with the highest concentration of criminal acts, and therefore, they require institutional arrangements to combat the social disadvantage that crime generates. In this case, the pacts acquire specific spatial configurations, since such configurations are the most likely institutional response to the geo-localization of crime.
Hypothesis 3: Regardless of their political colour, range, demographic density and the resulting geo-localization of crime, Security Pacts are connected to specific territories and their social and economic features, and are characterized by high levels of wellbeing and the quality of life of their inhabitants.
Do politics matter? “Security Pacts” and the connotation of the political majority
Keeping the single pact as the reference unit of measure, it is possible to identify connections between the political colour of the pacts and their national geographical distribution by macro-area. Most interestingly, in the North West of the country, 60% of the pacts were signed by right-centre political majorities, including the national government in charge at the time of the agreement. This is almost certainly due to the greater spread of right-centre administrations in this area, with respect to the national total, as well as the greater presence of small and very small-sized municipalities in the region (with respect to the national total). However, since consolidated data are not available, it is not possible to confirm this relationship.
Institutional configuration and political connotation of the Security Pacts
Size of population, demographic density and “Security Pacts”. Which kind of relationship?
This section is dedicated to the empirical test of the second hypothesis. This hypothesis emphasizes the correlation between demographic density, the probability of criminal behaviour, and the need for the government to implement Security Pacts to combat the social disadvantage that crime generates.
The same applies to the area of Florence (Figure 13), starting with the “Patto per la sicurezza dei comuni del Circondario dell’Empolese Valdelsa”. Signed by 11 local administrations with the Prefecture of Florence, it covers an area characterized by low levels of urbanizationx, in a territory once again characterized by a very high environmental value, as well as by high levels of social wellbeing and wealth (Chiodini and La Nave 2010: 104). Compared with the cases described above, however, two peculiar behaviours of local administrations in this area are to be noted: the city of Prato – “Patto per Prato sicura”, and the city of Florence – “Patto per Firenze sicura”, which are medium to large-sized cities as well as provincial capitals, found it necessary to sign pacts in addition to the ones with the Prefecture, trying in this way to enlarge the use of the instrument and the level of coordination with other local authorities. As far as Prato is concerned, the pact also involved the Province of Prato and the Tuscany Regional Authority. However, in Florence, in addition to the Province and the Region, several small towns were involvedy in a peripheral area characterized by a high environmental profile (Chiodini and La Nave 2010: 38).
Based on the data described in Figures 11, 12 and 13, it is possible to draw a picture of the contractual behaviour adopted by the administrations involved in the subscription of pacts (2007–2009): 1) as expected, a widespread use of the pact instrument may be seen in provincial capital cities, as well as in cities having between 50,000 and 250,000 inhabitants, which serve as local poles of attraction (Milan, Varese, Gallarate, Busto Arsizio, Como, Brescia, Verona). This particular administrative level does not seem to feel the need (with the exception of Florence and Prato) for an agreement with nearby municipalities, nor with the provincial or regional authorities, possibly believing that a single pact undersigned with the Prefecture would be enough. The high demographic density as well as the social and economic characteristics of this territory suggest that these conurbations may suffer from security issues related to high predatory crime rates or migratory waves typical of hot suburbs, or neighbourhoods characterized by urban decay and/or social issues; 2) frequent use of this instrument is observed among associated small and very small-sized administrations, located in what Giovanni Maciocco labels as “empty landscapes”, as opposed to those that are “more densely developed” (Maciocco 2007: 30). This solution was explicitly encouraged by Article 17 of Law 128/2001, supplemented by Article 7 of the Law of May 23rd, 2008, No. 92 (as amended July 24th, 2008, No. 125), which provided for smaller municipalities or an association thereof to manage in associated form any security-related issues. These enjoyed the technical support of the National ANCI Association –to ensure “an adequate exercise of municipal powers in matters connected to law enforcement, in particular to facilitate the enhancement of the intervention capacity of local police in ordinary activities and to facilitate the State Police Corps, the Carabinieri Legion, and the Guardia di Finanza in their involvement in crime prevention activities, and control of the territory”z (Antonelli 2010: 93–94).
The outcome of this recommendation was not obvious at all, for three reasons. First, because it was not clear how each municipality would feel about it. Second, because the legislation granted the parties involved the freedom to choose the most appropriate partners to achieve security-related objectives. Third, because although the association aimed at “managing security-related issues”, and provided for generic objectives to be achieved (such as, strengthening the capacity of local police to deal with ordinary crime), it was clear that the factors leading the mayors of small towns such as Castelfiorentino, Fiesole, Desenzano, Garda, Cusino (just to name a few) to sign a security pact, could not be the same as those faced by the mayors of intensely urbanized areasaa such as Milan, Brescia and Varese. It is therefore necessary to analyse the contractual behaviours pursued by the contracting authorities to understand how the individual municipalities have adjusted the legislative framework to these aspects; and in particular, the possible incentives (positive or negative) which may have brought smaller municipalities to sign an agreement on security-related matters.
Figures 11, 12 and 13 show how administrations in areas with a low or very low demographic density, and geographically far from the regional capital city (Como Lake area, the areas of Florence, Empoli, Garda Lake) decided to adopt a security pact, joining together with the Province and the Prefecture (more rarely with the regional authority and/or with the capital city of reference, except in the case of Florence and Prato). As already noted, the guiding thread connecting all municipalities is their high historical value, and the high levels of social wellbeing and wealth of its population. In this sense, Maciocco’s words (Maciocco 2007: 30) seem to be confirmed by the empirical data: “[…] alternative reference points from the stereotypes of the compact city, refuting the widespread assumption that the city is the ‘only thing of interest’ […]”. These data highlight the fact that local governments put into practice what was suggested by those sociologists who have studied the connection between urbanism, urban planning and the institutionsab. They prove to have enough institutional intelligence to draw new borders, identifying a security area based on specific social and economic features, rather than sticking to the traditional Italian administrative partition (Municipality, Province and Region)ac. In some cases, the new institutional border acquires a cross-provincial (in addition to a cross-municipal) profile. That is, they are able to go beyond the traditional provincial borders (Brescia, Verona and Trento; Figure 12).
The social and economic features of urban areas and the use of “Security Pacts”
The third case aims at understanding whether social and economic wellbeing is to be considered a significant factor in explaining the propensity to use Security Pacts in specific areas, and in specific inter-institutional configurations. The three highlights (Milan-Como-Como Lake area, the area of Benaco, the Florence area) suggest that there may be some kind of correlation between the Security Pacts specifically signed by municipal authorities, and the levels of social wellbeing and wealth of an area. Other authors have already explored this type of assumption. Battistelli and Lucianetti (2010), for instance, argue that such high living standards, accompanied by high levels of economic development, lead to the development of post-materialistic needs (Inglehart 1996); which in turn would result in “forms of participation, aesthetics and self-fulfilment”ad (Battistelli and Lucianetti 2010: 46). This has the effect of boosting, within the political security market, both the demand side and the supply side of the security good. Battistelli and Lucianetti regard Italy as a country “split in half”ae: the North representing the emergence of post-materialist needs, such as urban security; while the South (or rather, the Mezzogiorno) “oppressed by structural setback”af, cannot meet the citizens’ need for employment and personal safety.
To formalize this hypothesis, we might say that municipalities with a higher level of social wellbeing and wealth (in this case regardless of their population), are more likely to use Security Pacts (thus demonstrating a higher security-related interest); whereas it is expected that the municipalities with a low level of social wellbeing and wealth have a minor interest towards the same instrument. To test the validity of this hypothesis, available data (referred to as pacts signed by municipalities during the years 2007–2009) were cross-checked with data released by Eurostatag for the year 2007. These data were relevant to the per capita gross domestic product (GDP)ah, measured in terms of Purchasing Power Standards (PPS)ai by macro-geographical areaaj, ak.
The picture is the same if the available data related to the pacts signed by the municipalities (during the same period of time) are coupled with another social and economic welfare indicator: the quality of life in Italian municipalities, published on an annual basis by Italia Oggi (2007)am, an . This value is measured based on seven different indicators, to capture different aspects of the social and economic welfare connected to GDP level: 1) business and labour; 2) the environment; 3) crime; 4) poverty; 5) services; 6) leisure; 7) general. The 7th was used for our test.
Security Pacts are an innovative instrument aimed at governing security that were particularly popular among Italian municipalities, provinces and regions between 2007 and 2009. The analysis reported in this paper has helped us to particularly understand why such pacts acquired specific territorial configurations rather than others, even to the extent of drawing borders different from institutionally established administrative boundaries.
The first hypothesis, which assumed a correlation between the territorial configurations of pacts and the political colour of the contracting authorities and the central government, does not seem to provide a satisfactory explanation for this result. The importance of the political and ideological cleavage, in particular, seems to be contradicted by the following empirical findings: first, pacts were signed by both right-wing and left-wing governments and administrations; second, some pacts were signed by administrations of a particular political affiliation and implemented, without substantial changes, by different administrations; third, some pacts ratified the collaboration between local authorities at different territorial levels that were not (not all and not always) homogeneous in terms of political affiliation.
The second hypothesis, that the population size and demographic density of the affected areas explain the spatial configuration of the instrument seems to explain some, although not all, of the cases related to the pacts signed in areas characterized by low levels of demographic density, and the presence of small and very small-sized municipalities.
In this context, the third explanatory hypothesis gains more strength, taking the social and economic conditions of the territory as the independent variable. The data show that a high level of income and quality of life at the regional and municipal level was connected with a higher interest in signing pacts.
To explain the causal relationships between the level of income and quality of life at the regional and municipal level, and the capacity of the wealthier classes to improve policies based on security, a new hypothesis may be suggested at this stage. The spatial configurations of pacts may suggest that those communities used Security Pacts as pre-emptive rather than reactive instruments, unlike high-density urban communities.
Future research on this variable may therefore verify or falsify the hypothesis that the wealthier classes (although smaller and isolated in the territory as a community) are actually able to organize defensive strategies by leveraging their capacity to organize themselves; starting from the pre-emptive protection of the territory (thus anticipating the possible causes of social disadvantage related to crime), the environment, the level of economic activity, and the form of living spaces. This ability means that they are able to overcome ideological barriers, both on the left-right axis, and in relation to the traditional administrative boundaries of reference. While it is true that one of the declared objectives of the introduction of Security Pacts in Italy was to encourage the production of the security good in terms of quality of life, we hereby claim that most of the administrations involved were those in areas that already enjoyed the highest levels of quality of life. In conclusion then, we may assume, for future agenda, that pacts were mostly used to defend the status quo (and promote the already safe areas), rather than to fill an existing security gap or helping others to cope with security-related issues.
bContracts can be “vertical” if they involve different levels of government on a different geographic scale, “horizontal” when they involve different local institutions, or “functional” if they belong to the same level of governance. In several empirical studies the simultaneous presence of both dimensions was detected (Bobbio 2006: 70, author translation).
cThe first aspect (the nature of the agreements) is functional to allow a distinction to be made between the research topic and the traditional negotiation policies. The second (matters of public interest such as the content of the contract) is necessary to make a distinction between a public contract and a private contract (Bobbio 2000: 113, author translation).
eOn the basis of Article 439, Paragraph 1 of Italian Law No. 296/2006 (2007 Financial Act), Prefects are authorized to enter into agreements with the regions and the local authorities for the implementation of special programmes.
fBari, Bologna, Cagliari, Catania, Florence, Genoa, Milan, Naples, Palermo, Rome, Turin.
gThe division is based on the Nomenclature of Territorial Units for Italian Statistics (NUTS:IT) used for statistical purposes at the European Union (Eurostat 2008). The NUTS country codes suggest a subdivision into three levels: 1) Breakdown by Geographical Areas; 2) Breakdown by regions; 3) Division based on provincial borders.
hAgreements signed between 18th of May 2007 (the date of the first Security Pact) and 31st of December 2009 (the end of the period under study).
iFor further investigation on this matter see Calaresu (2013).
jThe Program for Computer-Assisted Coding of Events, available at www.pc-ace.com, organizes information in a relational data format, with different text elements stored in different computer tables in the same database. PC-ACE does not do the hard work of automatically parsing text within the categories of a story grammar (Artificial Intelligence has yet to deliver on early promises of computer understanding of natural languages). All PC-ACE does (or any other currently available software of textual analysis, for that matter, except for basic word counts) is to provide a computerized tool that makes the task of sorting information within the categories of a “story grammar” easier and more reliable for a human coder.
kFor further information about the empirical results obtained with the SQL interrogation of the 07_SecuPacts_09 database (with particular reference to the analysis of qualitative data via network models and social network analysis), see Calaresu (2012, 2013).
lArcGIS software is a system that allows the acquisition, recording, analysis, and visualization of spatial data and information derived from geographic data (geo-referenced data).
mIBM SPSS Statistics Software 21, 64 bit. Microsoft Licensed version.
nFor a better understanding of the significance of the project, on the basis of the performed “semantic triples”, see Franzosi (2010): 139–140.
oPart from the city of Palermo that postponed the signing of a pact, since local elections were being held at that time, all metropolitan areas that signed pacts with the Ministry of Home Affairs complied with their commitment to adopt their own security pact within the limit of 60 days from the signing of the National Pact.
Alleanza Popolare (ALL. POP.);
Contadini Monarchici (CM);
Lista civica (various);
Lista Civica Indipendente;
Unione Democratici Cristiani (UDC);
Unione Democratici Cristiani – others;
Uniti per Cambiare;
Lega Nord (LN);
Lega Nord – others.
The other category also includes the cases not uploaded on the Ministerial database (reported by the Registry as: unspecified) and the cases reporting missing and unavailable information (see Associazione Openpolis 2014). And also, the municipalities managed by external commissioners (reported as: Commissario Prefettizio) at the time of the signing of a pact.
qThis is the only piece of information made available by the Registry of Local and Regional Directors. Please note that, since the time of the signing of a pact, the political orientation of the local administration might have changed.
rCapiago Intimiano, Carimate, Cermenate, Cucciago, Figino Serenza, Novedrate.
sAlzano del Parco, Alzate Brianza, Appiano Gentile, Arosio, Bregnano, Brenna, Bulgarograsso, Cabiate, Cadorago, Carbonate, Cantù, Capiago Intimiano, Carimate, Carugo, Cermenate, Cirimido, Cucciago, Fenegrò, Figino Serenza, Guanzate, Inverigo, Limido Comasco, Locate Varesino, Lomazzo, Lurago d’Erba, Lurago Marinone, Mariano Comense, Monguzzo, Mozzate, Novedrate, Oltrona San Mamette, Rovellasca, Rovello Porro, Turate, Veniano, Vertemate con Minoprio.
tAlbiolo, Beregazzo, Binago, Bizzarone, Cagno, Castelnuovo Bozzente, Cavallasca, Drezzo, Faloppio, Gironico, Lurate Caccivio, Olgiate Comasco, Parè, Rodero, Ronago, Solbiate, Uggiate Trevano, Valmorea.
uBarni, Bellagio, Carlazzo, Blevio, Brunate, Caglio, Civenna, Faggeto Lario, Lasnigo, Lezzeno, Magreglio, Nesso, Pognana Lario, Rozzago, Sormano, Torno, Valbrona, Veleso, Zelbio.
vBene Lario, Cavargna, Corrido, Cusino, Grandola e Uniti, Menaggio, Plesio, Porlezza, San Bartolomeo Val Cavargna, San Nazzaro Val Cavargna, San Siro, Valrezzo, Valsolda.
wArco, Bardolino, Brenzone, Castelnuovo del Garda, Desenzano, Garda, Gardone Riviera, Gargnano, Lazise, Limone del Garda, Lonato del Garda, Malcesine, Manerba del Garda, Molina di Ledro, Moniga del Garda, Nago Torbole, Padenghe sul Garda, Peschiera del Garda, Riva del Garda, Salò, San Felice del Benaco, Sirmione, Tignale, Torri del Benaco, Toscolano Maderno, Tremosine.
xCapraia e Limite, Castelfiorentino, Cerreto Guidi, Certaldo, Empoli, Fucecchio, Gambassi Terme, Montatone, Montelupo Fiorentino, Montespertoli, Vinci.
yBagno a Ripoli, Calenzano, Campi Bisenzio, Fiesole, Impruneta, Lastra a Signa, Pontassieve, Scandicci, Sesto Fiorentino, Signa.
aaLikely to be connected to the incidence of predatory crime rates or migratory waves in hot suburbs, or neighbourhoods characterized by urban and/or social decay, as well as issues related to urban redevelopment.
abOn this matter, see Antonietta Mazzette: “[…] [Territorial] governmental policies should be based on an overall idea of what happens in a certain area, rather than individual local limited skills. But this means overcoming strict administrative boundaries and rethinking the territory as a composite urban system” (Mazzette 2003b: 24, author translation).
acThe issues related to institutional representation, moreover, are a long-time concern for the Italian cities, regardless of their demographic density and their extension. The issue connected to borders, for instance, is closely related to the allocation of competences and institutional responsibility. Also for this reason, many regard the institutional traditional boundaries as not being adequate any more, and so is the allocation of competencies among the actors: “[…] the administrative boundaries still taken into account, have [therefore] become an obstacle and hinder the most important dynamics taking place on the territory” (Mazzette 2003b: 24, author translation).
agUseful to represent the geographical distribution of wealth.
ahAs a definition of the Gross Domestic Product: “GDP, and thus GDP per inhabitant, provides a measure of the total economic activity in a region. It may be used to compare the degree of economic development of regions. GDP does not measure the income ultimately available to private households in a region” (Eurostat, 2008: 2, footnote 1).
aiThe PPS (purchasing power standard) is an artificial currency that takes into account differences in national price levels. This unit allows meaningful volume comparisons of economic indicators over countries” (Eurostat, 2008: 2, footnote 2).
ajAs reported in Eurostat (2008: 2, footnote 3): “These data are based on the Nomenclature of Territorial Units for Statistics (NUTS) as last modified in February 2007. NUTS 2006 provides a uniform, consistent breakdown of territorial units for the production of regional statistics for the EU. Level 2 of the nomenclature has 271 regions: Belgium (11), Bulgaria (6), the Czech Republic (8), Denmark (5), Germany (39), Ireland (2), Greece (13), Spain (19), France (26), Italy (21), Hungary (7), the Netherlands (12), Austria (9), Poland (16), Portugal (7), Romania (8), Slovenia (2), Slovakia (4), Finland (5), Sweden (8) and the United Kingdom (37). Estonia, Cyprus, Latvia, Lithuania, Luxembourg and Malta are all considered as single regions at NUTS 2 level. For a list of the European statistical regions see: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction”.
akThe vertical and horizontal line in the figure corresponds to the average values (see Figure 14).
al“In 2007, the GDP per inhabitant in Purchasing Power Standards (PPS) terms, in EU 27, ranged between 26% of the EU-27 average in the region of Severozapaden (Bulgaria), and 334% of the average of Inner London (UK)” (Eurostat 2008: 1).
amThis particular measure seems to be the most suitable to understand the quality of life and the levels of economic development in a specific area, compared with the GDP value that focuses too much on the economic wealth produced.
anThe vertical and horizontal line in the figure corresponds to the average values (see Figure 15).
aoThis is due to the fact that Italia Oggi (2007) does not make any distinction between the South and the Islands, including both in the same category.
The authors wish to thank the contribution of Claudius Wagemann at Goethe Universität for reading and evaluating a very first draft of this work at Istituto Italiano di Scienze Umane - Scuola Normale Superiore, Florence-Pisa. This manuscript acknowledges the technical support with ArcGIS software of Gianluca Melis at University of Sassari, and the effort in the acquisition, verification and interpretation of empirical and statistical data of Stefania Vicari at University of Leicester. Tribute must be paid also to Roberto Franzosi at Emory University for his advice related to the use of Quantitative Narrative Analysis (QNA) and for helping us to prepare a coding scheme for codifying non-narrative text sections of “Security Pacts” with the Program for Computer-Assisted Coding of Events (PC-ACE). Additionally, our acknowledgments go to Harvey Molotch and Ann Morning at New York University, Giovanni Maciocco at University of Sassari and Rossella Selmini at University of Minnesota for discussing and debating ideas, concepts and methods related to this work from a wider disciplinary perspective. Finally, a special thanks to Sara Aime and Tonito Solinas at University of Sassari, for their continued support in proof-reading and editing this work.
The research has been partially founded by a PRIN National Grant 2010-2011 (Ministry of Education, University and Research) entitled “Crisi economiche e qualità delle democrazie in Europa - Economic crisis and the quality of democracies in Europe”. Scientific National Coordinator: Leonardo Morlino. Leading Institution: Libera Università Internazionale degli Studi Sociali Guido Carli (LUISS), Rome, Italy. Scientific Local Coordinator: Mauro Tebaldi. Local Institution: University of Sassari, Department of Political Sciences, Communication Sciences and Information Engineering, Sassari, Italy. Duration: 36 months. Protocol number: 2010WKTTJP_007. Area: 14
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