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Competition or Comparative Advantage: What Drives Cross Border Mergers and Acquisitions?

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  • Poonam Mehra Singh

    (National Institute of Industrial Engineering (NITIE))

Abstract

The theory of comparative advantage explains the upsurge of cross border mergers and acquisitions (CBMAs) in the era of reform led trade liberalization. This paper tests the theory of comparative advantage for CBMAs by firms belonging to a developing country, viz. India. Using count data the paper also shows that CBMAs have occurred in country and sector specific waves. This implies in developing countries, it is competition rather than comparative advantage which drives CBMAs. However, the paper finds that occurrence of the country specific wave and sector specific wave are negatively affected by favourable outward FDI policy.

Suggested Citation

  • Poonam Mehra Singh, 2017. "Competition or Comparative Advantage: What Drives Cross Border Mergers and Acquisitions?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 461-488, September.
    • Handle: RePEc:spr:jqecon:v:15:y:2017:i:3:d:10.1007_s40953-016-0063-2
    DOI: 10.1007/s40953-016-0063-2
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    More about this item

    Keywords

    Comparative advantage; Cross border mergers and acquisitions; OFDI policy; Merger wave;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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