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Political connections and firms: network dimensions

Bussolo, Maurizio; Commander, Simon; Poupakis, Stavros; (2023) Political connections and firms: network dimensions. Oxford Economic Papers , 75 (1) pp. 256-280. 10.1093/oep/gpac017. Green open access

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Business and politician interaction is commonplace. Most research has classified firms as either connected to a politician or not: a binary approach. Yet, there are almost always strong network dimensions to these connections. This article builds a unique data set to document a network of connections between politically exposed persons (PEPs), political parties, and firms in seven economies. With this novel dataset, the article examines the association between the characteristics and performance of firms and the firms’ connections with PEP, taking into account the network nature of these connections. The originality of our analysis is to identify how participation and location in a network, including the extent of links, as well as having a strategic location or centrality, is correlated with firm scale and performance. In a binary approach, such network characteristics are omitted. One consequence is that the intensity and consequences of politically connected business may be significantly mis/under-estimated.

Type: Article
Title: Political connections and firms: network dimensions
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/oep/gpac017
Publisher version: https://doi.org/10.1093/oep/gpac017
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: L14 - Transactional Relationships; Contracts and Reputation; NetworksL53 - Enterprise PolicyP26 - Political Economy; Property Rights
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10147907
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