Mostrar el registro sencillo del ítem

dc.contributor.author
Alderete, Maria Veronica  
dc.contributor.other
Baikady, Rajendra  
dc.contributor.other
Sajid, S.M.  
dc.contributor.other
Przeperski Jaroslaw  
dc.contributor.other
Nadesan, Varoshini  
dc.contributor.other
Islam, M. Rezaul  
dc.contributor.other
Gao, Jianguo  
dc.date.available
2025-11-14T11:45:16Z  
dc.date.issued
2024  
dc.identifier.citation
Alderete, Maria Veronica; The Relationship Between Open Data and Corruption: A Country-Cluster Analysis; Springer Nature Switzerland AG; 2024; 1-15  
dc.identifier.isbn
978-3-030-68127-2  
dc.identifier.uri
http://hdl.handle.net/11336/275628  
dc.description.abstract
Transparency and the right to access public data are critical principles to foster democratic participation and to prevent corruption. The objective of this paper is analyzing whether the relationship between open data and corruption differs among countries and is related with the human development level. To achieve these goals, a 93-country sample for the year 2018 is used to conduct a cluster and comparison of media analysis. Secondly, the paper explores if these clusters are correlated with different ICT development and innovation levels. Results obtained show that there are three groups of countries: a first group of high corruption, low open data, and medium to low HDI; a second group of medium corruption, low open data, and medium to high HDI; and a third group of low corruption, high transparency, and high to very high HDI. Results show that open data is an instrument against corruption in countries with high human development. In countries with low human development, there are not significant differences in corruption based on transparency or open data (almost all of these low HDI countries exhibit high levels of corruption). Besides, countries’ ICT development and innovation are statically different between groups.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Nature Switzerland AG  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Transparency  
dc.subject
Corruption  
dc.subject
ICT  
dc.subject
Cluster Analysis  
dc.subject
Open data  
dc.subject.classification
Otras Economía y Negocios  
dc.subject.classification
Economía y Negocios  
dc.subject.classification
CIENCIAS SOCIALES  
dc.title
The Relationship Between Open Data and Corruption: A Country-Cluster Analysis  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2025-11-06T16:03:12Z  
dc.journal.pagination
1-15  
dc.journal.pais
Suiza  
dc.journal.ciudad
Cham  
dc.description.fil
Fil: Alderete, Maria Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-030-68127-2  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/referencework/10.1007/978-3-030-68127-2  
dc.conicet.paginas
1900  
dc.source.titulo
The Palgrave Handbook of Global Social Problems