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Sequence Networks of Rotating Machines01:24

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Spatio-Temporal Patterns of the International Merger and Acquisition Network.

Marco Dueñas1, Rossana Mastrandrea2, Matteo Barigozzi3

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This study analyzes global mergers and acquisitions (M&As) using network science, revealing that high-income economies dominate M&A activity. Geographical distance significantly shapes these international M&A networks, similar to trade patterns.

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Area of Science:

  • Economics
  • Network Science
  • International Business

Background:

  • Mergers and Acquisitions (M&As) are key drivers of global economic integration.
  • Understanding the structure of international M&A networks is crucial for economic analysis.
  • Existing research often analyzes trade networks, but M&A network structures require distinct investigation.

Purpose of the Study:

  • To analyze the structure and dynamics of the international M&A network (IMAN) from 1995-2010.
  • To compare the IMAN with the international trade network (ITN) using complex network approaches.
  • To identify key characteristics, geographical influences, and economic patterns within the global M&A landscape.

Main Methods:

  • Construction of temporal, binary, and weighted-directed networks representing M&As between 224 countries (1995-2010).
  • Application of complex network analysis techniques, including filtering by distance and time.
  • Utilizing statistical methods developed for international trade network (ITN) analysis.

Main Results:

  • The IMAN exhibits low density, a persistent giant component, many external nodes, and low reciprocity, contrasting with the ITN.
  • Clustering patterns within the IMAN are heterogeneous and dynamic.
  • High-income economies are dominant acquirers with high connectivity, making most countries targets for a few acquirers.
  • Geographical distance significantly influences the IMAN structure, showing non-linear relationships with link-weights and node degrees, and exhibiting short-distance assortativity.

Conclusions:

  • The IMAN possesses unique structural properties distinct from the ITN.
  • Economic power concentration is evident, with high-income nations leading M&A activities.
  • Geographical proximity remains a critical factor in international M&A flows, mirroring patterns in international trade.