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The global cross-border mergers and acquisitions network between 1990 and 2021

Author

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  • Brózda-Wilamek Dominika

    (Faculty of Economics and Sociology, University of Lodz, Lodz, Poland)

Abstract

The literature is characterized by a lack of research analyzing cross-border mergers and acquisitions (CBM&A) as a network. This article aims to evaluate the topology properties (the geographical and sectoral structure) of the global CBM&A network in 1990–2021. A quantitative study is conducted by using the social network analysis (SNA) method. The countries’ structural power in this global system is measured by the centrality indicators. From a geographical perspective, the study shows that in 1990–2021, the United States, the United Kingdom, Germany, Canada, and France occupied the most central place in the network. From the beginning of the 21st century, there has also been a marked increase in the importance of Asian countries, with China and India receiving a large inflow of foreign capital. In turn, entities from Hong Kong, Singapore, Japan, and China invested heavily abroad through M&A. The Asian countries’ economies also played the role of important intermediaries in the global CBM&A network. From a sectoral perspective, it can be stated that in 1990–2021, mainly entities operated in the financial, industrial, basic materials, technology, and consumer cyclical sectors made transactions in the global CBM&A network. They were also the main investment targets within this network.

Suggested Citation

  • Brózda-Wilamek Dominika, 2023. "The global cross-border mergers and acquisitions network between 1990 and 2021," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(4), pages 333-348, December.
  • Handle: RePEc:vrs:ijomae:v:59:y:2023:i:4:p:333-348:n:8
    DOI: 10.2478/ijme-2023-0021
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    References listed on IDEAS

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    1. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    2. Bing Li & Zefang Liao & Lijian Sun, 2018. "Evolution of FDI flows in the global network: 2003–2012," Applied Economics Letters, Taylor & Francis Journals, vol. 25(20), pages 1440-1446, November.
    3. Marcos Duenas & Rossana Mastrandrea & Matteo Barigozzi & Giorgio Fagiolo, 2017. "Spatio-Temporal Patterns of the International Merger and Acquisition Network," LEM Papers Series 2017/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Stefania Vitali & Stefano Battiston, 2014. "The Community Structure of the Global Corporate Network," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-13, August.
    5. Sánchez Díez, Angeles & Galaso Reca, Pablo & García de la Cruz, José Manuel, 2016. "Mergers and acquisitions carried out by Spanish firms in Latin America: a network analysis study," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    6. Guo, Xin-Yu & Yang, Kai & Wu, Xian-Ming & Liu, Jian-Guo, 2019. "Statistical properties of Chinese merger and acquisition network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    7. GALASO, Pablo & SANCHEZ-DIEZ, Angeles, 2020. "Core-Periphery Relations In The International Mergers And Acquisitions Network," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 20(1), pages 23-34.
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    More about this item

    Keywords

    centrality; cross-border mergers and acquisitions; network analysis;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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