Bogotá, Colombia
Dueñas, Marco
Mastrandrea, Rossana
Barigozzi, Matteo
Fagiolo, Giorgio
2020-04-24T15:00:33Z
2020-04-24T15:00:33Z
2017
https://www.nature.com/articles/s41598-017-10779-z
http://hdl.handle.net/20.500.12010/8961
This paper analyses the world web of mergers and acquisitions (M&As) using a complex network
approach. We use data of M&As to build a temporal sequence of binary and weighted-directed networks
for the period 1995–2010 and 224 countries (nodes) connected according to their M&As flows (links).
We study different geographical and temporal aspects of the international M&A network (IMAN),
building sequences of filtered sub-networks whose links belong to specific intervals of distance or time.
Given that M&As and trade are complementary ways of reaching foreign markets, we perform our
analysis using statistics employed for the study of the international trade network (ITN), highlighting
the similarities and differences between the ITN and the IMAN. In contrast to the ITN, the IMAN is a
low density network characterized by a persistent giant component with many external nodes and low
reciprocity. Clustering patterns are very heterogeneous and dynamic. High-income economies are the
main acquirers and are characterized by high connectivity, implying that most countries are targets
of a few acquirers. Like in the ITN, geographical distance strongly impacts the structure of the IMAN:
link-weights and node degrees have a non-linear relation with distance, and an assortative pattern is
present at short distances.
14 páginas
application/pdf
Universidad de Bogotá Jorge Tadeo Lozano
Spatio
Patterns
International merger
Spatio-temporal patterns of the international merger and acquisition network
Artículo
Comercio exterior
Alianzas estratégicas (Negocios)
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/acceptedVersion
Abierto (Texto Completo)
10.1038/s41598-017-10779-z
instname:Universidad de Bogotá Jorge Tadeo Lozano
reponame:Repositorio Institucional de la Universidad de Bogotá Jorge Tadeo Lozano
info:eu-repo/semantics/article