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EMNEs in the Pharmaceutical Industry: Exploring the Impact of National Political Stability Levels on Entry Frequency

Mus, Mirona Teodora LU ; Pejic, Milana LU and Coleman Söderlund, Caeley Schae LU (2025) IBUH19 20251
Department of Business Administration
Abstract
Using data on Mergers and Acquisitions (M&A) transactions available on the S&P Capital IQ database, this paper aims to contribute to the growing body of knowledge on Emerging Market Multinational Enterprises (EMNEs). Basing itself on the idea that EMNEs may differ significantly in their behavior, investment patterns, and strategic choices from their counterparts from already established markets (referred to henceforth as DMNEs), this paper employs a comparative approach aiming to investigate the validity of previous assumptions and propose areas of further research.
To do this, this paper uses a negative binomial regression analysis to study how political risk at the international level affects the frequency with which MNEs choose to... (More)
Using data on Mergers and Acquisitions (M&A) transactions available on the S&P Capital IQ database, this paper aims to contribute to the growing body of knowledge on Emerging Market Multinational Enterprises (EMNEs). Basing itself on the idea that EMNEs may differ significantly in their behavior, investment patterns, and strategic choices from their counterparts from already established markets (referred to henceforth as DMNEs), this paper employs a comparative approach aiming to investigate the validity of previous assumptions and propose areas of further research.
To do this, this paper uses a negative binomial regression analysis to study how political risk at the international level affects the frequency with which MNEs choose to enter a given country. To test whether this affects EMNEs and DMNEs differently, a moderated regression analysis is used to study how the political stability/investment frequency relationship changes with company type.
As part of this analysis, a model is produced linking political stability to entry frequency, and a moderating effect is discovered, showing that there is indeed a difference in how EMNEs respond differently to political risk as opposed to DMNEs. However, due to limitations in sample size and complex investment relationships, this model’s predictive power is highly limited, suggesting the need for extensive future research on the topic. (Less)
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author
Mus, Mirona Teodora LU ; Pejic, Milana LU and Coleman Söderlund, Caeley Schae LU
supervisor
organization
course
IBUH19 20251
year
type
M2 - Bachelor Degree
subject
keywords
EMNEs, Pharmaceuticals, M&A, FDI, Modelling
language
English
id
9204755
date added to LUP
2025-06-26 08:54:48
date last changed
2025-06-26 08:54:48
@misc{9204755,
  abstract     = {{Using data on Mergers and Acquisitions (M&A) transactions available on the S&P Capital IQ database, this paper aims to contribute to the growing body of knowledge on Emerging Market Multinational Enterprises (EMNEs). Basing itself on the idea that EMNEs may differ significantly in their behavior, investment patterns, and strategic choices from their counterparts from already established markets (referred to henceforth as DMNEs), this paper employs a comparative approach aiming to investigate the validity of previous assumptions and propose areas of further research. 
To do this, this paper uses a negative binomial regression analysis to study how political risk at the international level affects the frequency with which MNEs choose to enter a given country. To test whether this affects EMNEs and DMNEs differently, a moderated regression analysis is used to study how the political stability/investment frequency relationship changes with company type.
As part of this analysis, a model is produced linking political stability to entry frequency, and a moderating effect is discovered, showing that there is indeed a difference in how EMNEs respond differently to political risk as opposed to DMNEs. However, due to limitations in sample size and complex investment relationships, this model’s predictive power is highly limited, suggesting the need for extensive future research on the topic.}},
  author       = {{Mus, Mirona Teodora and Pejic, Milana and Coleman Söderlund, Caeley Schae}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{EMNEs in the Pharmaceutical Industry: Exploring the Impact of National Political Stability Levels on Entry Frequency}},
  year         = {{2025}},
}