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Balancing Power without Weapons
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Book description

Why do states block some foreign direct investment on national security grounds even when it originates from within their own security community? Government intervention into foreign takeovers of domestic companies is on the rise, and many observers find it surprising that states engage in such behaviour not only against their strategic and military competitors, but also against their closest allies. Ashley Lenihan argues that such puzzling behaviour can be explained by recognizing that states use intervention into cross-border mergers and acquisitions as a tool of statecraft to internally balance the economic and military power of other states through non-military means. This book tests this theory using quantitative and qualitative analysis of transactions in the United States, Russia, China, and fifteen European Union states. It deepens our understanding of why states intervene in foreign takeovers, the relationship between interdependence and conflict, the limits of globalization, and how states are balancing power in new ways. This title is also available as Open Access.

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Full book PDF
  • Balancing Power without Weapons
    pp i-ii
  • Copyright page
    pp iv-iv
  • Dedication
    pp v-vi
  • Contents
    pp vii-viii
  • Figures
    pp ix-x
  • Preface
    pp xi-xi
  • Acknowledgments
    pp xii-xii
  • Abbreviations
    pp xiii-xvi
  • Introduction
    pp 1-30
  • 1 - A Theory of Non-Military Internal Balancing
    pp 31-69
  • 2 - The Numbers
    pp 70-92
  • Assessing the Motivations Behind State Intervention into Foreign Takeovers
  • 3 - Unbounded Intervention
    pp 93-157
  • The State and the Blocked Deal
  • 4 - Unbounded or Overbalancing?
    pp 158-195
  • An Outlier Case
  • 5 - Bounded Intervention
    pp 196-252
  • Mitigating Threats to National Security
  • 6 - Non-Intervention and the “Internal” Intervention Alternative
    pp 253-280
  • Conclusion
    pp 281-298
  • Appendices
    pp 299-313
  • Appendix A: - Alternative Independent Variables Considered
    pp 299-302
  • Appendix B: - Descriptive Statistics of Variables in MNLMs I–IV
    pp 303-306
  • Appendix C: - MNLM III and Resource Dependency
    pp 307-308
  • Appendix D: - Descriptive Statistics of Dataset Variables: Frequencies
    pp 309-309
  • Appendix E: - Bivariate Correlations of Dataset Variables
    pp 310-310
  • Appendix F: - Negative Case Selection
    pp 311-313
  • References
    pp 314-350
  • Index
    pp 351-360


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