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Fighting Software Piracy: Some Global Conditional Policy Instruments

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  • Asongu, Simplice A
  • Singh, Pritam
  • Le Roux, Sara

Abstract

This study examines the efficiency of tools for fighting software piracy in the conditional distributions of software piracy. Our paper examines software piracy in 99 countries for the period 1994-2010, using contemporary and non-contemporary quantile regressions. The intuition for modelling distributions contingent on existing levels of software piracy is that the effectiveness of tools against piracy may consistently decrease or increase simultaneously with increasing levels of software piracy. Hence, blanket policies against software piracy are unlikely to succeed unless they are contingent on initial levels of software piracy and tailored differently across countries with low, medium and high levels of software piracy. Our findings indicate that GDP per capita, research and development expenditure, main intellectual property laws, multilateral treaties, bilateral treaties, World Intellectual Property Organisation treaties, money supply and respect of the rule of law have negative effects on software piracy. Equitably distributed wealth reduces software piracy, and the tendency not to indulge in software piracy because of equitably distributed wealth increases with increasing software piracy levels. Hence, the negative degree of responsiveness of software piracy to changes in income levels is an increasing function of software piracy. Moreover the relationships between policy instruments and software piracy display various patterns, namely: U-shape, Kuznets-shape, S-shape and negative thresholds. A negative threshold represents negative estimates with increasing negative magnitude throughout the conditional distributions of software piracy. We also discuss the policy implications of our study.

Suggested Citation

  • Asongu, Simplice A & Singh, Pritam & Le Roux, Sara, 2016. "Fighting Software Piracy: Some Global Conditional Policy Instruments," MPRA Paper 73088, University Library of Munich, Germany, revised Aug 2016.
    • Handle: RePEc:pra:mprapa:73088
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    2. Simplice A. Asongu & Oasis Kodila-Tedika, 2018. "Determinants of Property Rights Protection in Sub-Saharan Africa," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1291-1308, December.
    3. Dan Wu & Guofang Nan & Minqiang Li, 2020. "Optimal Piracy Control: Should a Firm Implement Digital Rights Management?," Information Systems Frontiers, Springer, vol. 22(4), pages 947-960, August.
    4. Simplice Asongu & Christelle Meniago, 2018. "Technology and persistence in global software piracy," Netnomics, Springer, vol. 19(1), pages 43-63, October.
    5. Simplice A. Asongu, 2021. "Global Software Piracy, Technology and Property Rights Institutions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1036-1063, September.

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    More about this item

    Keywords

    Intellectual property rights; Panel data; Software piracy;
    All these keywords.

    JEL classification:

    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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