High earnings through firm influence: the role of hierarchical structures in public procurement
Image credit: CRiSS-LABAbstract
Public procurement markets are highly structured networks. Using over one million Portuguese public procurement contracts, this article shows that modularity, hierarchy, specialization, and firms’ network influence help explain which firms achieve higher earnings per bid.
Type
Publication
EPJ Data Science, 14, 27
Cristian Candia
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Director of CRiSS-LAB.
Cristian Candia is a computational social scientist studying human and collective behavior with large-scale data, network science, experiments, and AI.
