University of Padua

Mapping of local gambling initiatives in Italy

Baratin, Anna and Bassoli, Matteo and Turri, Vanessa Mascia (2022) Mapping of local gambling initiatives in Italy. [Data Collection]

Collection description

The dataset provides the complete enumeration of gambling policies implemented by Italian Municipalities between 2003 and 2021. The dataset comprises information on all municipalities existing in 2017 and following years (thus considering also merging). The following variables are available: Municipality ISTAT Code (ID), Municipality Name (Name) Province, Region, Researcher, and a series of variables identifying the number and the type of rulings adopted (“regolamento”, “ordinanza” and “delibera”). The rulings are distinguished between identified and downloaded or only identified (because the document is no longer available). Additional variables describe municipal activism with other administrative acts (Anti-gambling Manifesto, events, projects or tax reductions). Overall, the dataset comprises 8031 units.

DOI: 10.25430/
Keywords: Gambling policy, Gambling regulations,Gaming, Italy, Mapping, 2021, Urban policy, Mappatura, Ordinanza, Delibera, Regomento, Azzardo
Subjects: Social Sciences and Humanities > Institutions, Values, Environment and Space :Political science, law, sustainability science, geography, regional studies and planning > Political systems, governance
Department: Departments > Dipartimento di Scienze politiche, giuridiche e studi internazionali (SPGI)
Depositing User: Matteo Bassoli
Date Deposited: 29 Nov 2022 08:57
Last Modified: 02 Dec 2022 09:14
Turri, Vanessa
Corporate creators: Centro Interdipartimentale di Studi Regionali (CISR) “Giorgio Lago” - Università degli Studi di Padova
Type of data: Text
Research funder: Department of Political Science, Law, and International Studies (SPGI) - Università degli Studi di Padova
Grant number: BASS_BIRD2121_01
Collection period:
15 March 20211 July 2021
Temporal coverage:
Geographic coverage: Italy
Data collection method: Sampling frame The units of analysis are Italian municipalities. The mapping procedure adopted a sampling frame for Italian municipalities based on the ISTAT list of municipalities in the year 2017 (January 1) as main inclusionary criteria (7983 units), corrected for those municipalities active in the year 2020. The resulting list thus also includes some municipalities that later merged into new municipalities in 2018, 2019 and 2020, for a total of 8031 units. As for the variables, we did not set any time limits, thus considering all documentation available. During the period March 15 – July 1, 2021, we divided all municipalities into 71 groups via geographical partition. Researchers were aware of the work of Bassoli et al. (2021) and therefore could leverage on previous information to check for consistency and look for new information. The researcher followed the following protocol (Bassoli and Pedroni 2015). Mapping protocol The protocol was developed by Bassoli and Pedroni (2015) and later adapted for this dataset. Every Italian municipality is obliged by law to publicize local rulings through an online public notices board hosted by a dedicated website. We gathered information on the presence of local ruling using a standard procedure of web-search based on keywords. We identified three phases for our search: the web search, the municipal website and gambling-dedicated websites. As for the first phase, we opted for the Google™ search-engine because it is the most widely used search engine and the one with a stronger user-led learning algorithm. We then identified two possible sets of key words for each type of act (regolamento, ordinanza and delibera): • Comune + [name of the municipality] + azzardo + [type of act] • Comune + [name of the municipality] + ludopatia + [type of act] and two additional keywords influenced by the language used in the official documents and tested by Bassoli and Pedroni (2015) • Comune + [name of the municipality] + gioco + regolamento • Comune + [name of the municipality] + apparecchi + ordinanza As for the second phase, we analysed both the online public notices board (with only recent publications) and its archive (with older documents). The keywords used to find relevant documents in the online archives were “apparecchi”, “azzardo” and “ludopatia”. While within each document (to check the document relevance) the key words were the following: “awp”, “sale giochi” and “slot machines”. Finally, for the third focal phase, we selected six websites identified using key-informants:,,,,, and All the information obtained on the web was inserted in two documents: the database and a survey gathering information about each document, which is available upon request. Thereafter the researchers update the previous dataset “ 2020 Dataset on local gambling regulations in Italy” (Bassoli et al. 2021) with new information, along with the personal archives of Dr Paolo Jarre (accessed March 2020), of Prof Pedroni (accessed in November 2020) and of Prof Bassoli (accessed in February 2021)
Resource language: English
Metadata language: English
Additional information: Methodological caveat The focus of the research was identifying formal regulations (regolamento, ordinanza and delibera). Therefore, the variables Reg, Regi, Regin, Ord, Ordi, Ordin, and Deli were collected using consistent procedures and a thorough mapping of the building regulation (Rege). Other information contained in the dataset is of lower quality. For example, the variables indicating the subscription of the “Manifesto dei sindaci per la legalità contro il gioco d’azzardo” (Manifesto_d, Manifesto), the presence of tax deduction (Tari), the presence of a political debate (Dibattito) or the development of specific projects (Proj) were collected to provide only a general understanding of local gambling activism. The keywords were not coherent with a thorough mapping of the building regulation (Rege). The dataset does not contain information about the temporal validity of each document thus, hindering the possibility of determining the level of policy coverage per year.
Publisher: Research Data Unipd
Date: 29 November 2022
Copyright holders: The Author

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