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The impacts of intellectual property rights protection on cross-border M&As

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  • Hasan, Iftekhar
  • Khalil, Fahad
  • Sun, Xian

Abstract

We investigate the impacts of improved intellectual property rights (IPR) protection on cross-border M&A performance. Using multiple measures of IPR protection and based on generalized difference-in-differences estimates, we find that countries with better IPR protection attract significantly more hi-tech cross-border M&A activity, particularly in developing economies. Moreover, acquirers pay higher premiums for companies in countries with better IPR protection, and there is a significantly higher acquirer announcement effect associated with these hi-tech transactions.

Suggested Citation

  • Hasan, Iftekhar & Khalil, Fahad & Sun, Xian, 2017. "The impacts of intellectual property rights protection on cross-border M&As," Bank of Finland Research Discussion Papers 17/2017, Bank of Finland.
  • Handle: RePEc:zbw:bofrdp:rdp2017_017
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    More about this item

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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