International mergers and acquisitions and institutional differences: An integrated approach

Abstract In this paper we study the role of institutional differences in bilateral mergers and acquisitions (M&As) in an integrated framework. We contribute to the literature on the drivers of international M&As by integrating the gravity, knowledge‐capital (KK) and political economy theory (PET) approaches and explain cross‐border M&As using an international and comprehensive dataset. We estimate the model using Poisson Pseudo Maximum Likelihood (PPML) method with high dimension fixed effects. The main findings are that the variables that affect cross‐border M&As can be derived from three different approaches explaining activity of multinational enterprises (MNEs): the gravity equation, the KK model, and the PET frameworks. In particular, variables related to geographical proximity, size and similarity of markets and differences in regulatory quality are important in explaining M&A activity.

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Publication Details

Journal
International Journal of Finance & Economics
Published
2024-08-30
DOI
https://doi.org/10.1002/ijfe.3033
Citations
1
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
0.83
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article

International mergers and acquisitions and institutional differences: An integrated approach

Monika Tarsalewska, Andrzej Cieślik
1 citations
International Journal of Finance & Economics
Global trade and economics
0.83
article

International mergers and acquisitions and institutional differences: An integrated approach

Monika Tarsalewska, Andrzej Cieślik
article en
1 citations

Abstract

Abstract In this paper we study the role of institutional differences in bilateral mergers and acquisitions (M&As) in an integrated framework. We contribute to the literature on the drivers of international M&As by integrating the gravity, knowledge‐capital (KK) and political economy theory (PET) approaches and explain cross‐border M&As using an international and comprehensive dataset. We estimate the model using Poisson Pseudo Maximum Likelihood (PPML) method with high dimension fixed effects. The main findings are that the variables that affect cross‐border M&As can be derived from three different approaches explaining activity of multinational enterprises (MNEs): the gravity equation, the KK model, and the PET frameworks. In particular, variables related to geographical proximity, size and similarity of markets and differences in regulatory quality are important in explaining M&A activity.

International Journal of Finance & EconomicsVol. 30(3)
University of Exeter (GB), University of Warsaw (PL)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Global trade and economics
0.83
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