High earnings through firm influence: the role of hierarchical structures in public procurement

Image credit: CRiSS-LAB

Abstract

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.

Publication
EPJ Data Science, 14, 27
Cristian Candia
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.

My research interests include applied AI, computational social science, network science, collective intelligence, school coexistence, decision intelligence, and business analytics.

Flavio Pinheiro
Flavio Pinheiro
NOVA IMS, Universidade Nova de Lisboa