Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities

Lyra, Marcos da Silva; Curado, António; Damásio, Bruno; Bação, Fernando; Pinheiro, Flávio L.

http://hdl.handle.net/10362/126499

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Autores

Lyra, Marcos da Silva

Resumo(s)

Fraud in public funding can have deleterious consequences for societies’ economic, social, and political well-being. Fraudulent activity associated with public procurement contracts accounts for losses of billions of euros every year. Thus, it is of utmost relevance to explore analytical frameworks that can help public authorities identify agents that are more susceptible to irregular activities. Here, we use standard network science methods to study the co-bidding relationships between firms that participate in public tenders issued by the 184 municipalities of the State of Ceará (Brazil) between 2015 and 2019. We identify 22 groups/communities of firms with similar patterns of procurement activity, defined by their geographic and activity scopes. The profiling of the communities allows us to highlight organizations that are more susceptible to market manipulation and irregular activities. Our work reinforces the potential application of network analysis in policy to unfold the complex nature of relationships between market agents in a scenario of scarce data.

Descrição

Lyra, M. D. S., Curado, A., Damásio, B., Bação, F., & Pinheiro, F. L. (2021). Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities. Applied Network Science, 6, 1-10. [77]. https://doi.org/10.1007/s41109-021-00418-y --- Funding Information: MSL was financially supported by Tribunal de Contas do Estado do Ceará through a Phd scholarship. BD, FLP, and FB acknowledge the financial support provided by FCT Portugal under the project UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC). FB and FLP acknowledge the financial support provided by FCT Portugal under the project DSAIPA/DS/0116/2019.

Palavras-chave

Brazil Co-bidding network Data mining Network analysis Public procurement General Computer Networks and Communications Computational Mathematics SDG 16 - Peace, Justice and Strong Institutions