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Determinants of Worldwide Software Piracy Losses

Author

Listed:
  • Nicolas Dias Gomes

    (Faculty of Economics University of Coimbra, Portugal)

  • Pedro André Cerqueira

    (GEMF/ Faculty of Economics University of Coimbra, Portugal)

  • Luís Alçada Almeida

    (INESC-Coimbra, Portugal)

Abstract

This paper studies the determinants of software piracy losses along four major macroeconomic dimensions: Labor force, Technological, Educational and Access to Information using a large dataset available from 1994 to 2010, comprising 109 countries. The results show that, regarding the labor dimension, employment in services has a deterrent effect while labor force with higher education and youth unemployment have positive effects on piracy losses. As for the technological dimension, more patents by residents have a positive effect while the effect of R&D is negative. In terms of the Educational dimension the results obtained show that more spending on education increase the piracy losses but, at the same time, more schooling years have the opposite effect. Finally, regarding the Access to Information, it seems that access to Internet diminishes the losses while the share of Internet broadband subscriptions has no effect.

Suggested Citation

  • Nicolas Dias Gomes & Pedro André Cerqueira & Luís Alçada Almeida, 2013. "Determinants of Worldwide Software Piracy Losses," GEMF Working Papers 2013-19, GEMF, Faculty of Economics, University of Coimbra.
    • Handle: RePEc:gmf:wpaper:2013-19.
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Nicolas Dias Gomes & Pedro André Cerqueira & Luís Alçada Almeida, 2015. "Education and Software Piracy in the European Union," GEMF Working Papers 2015-07, GEMF, Faculty of Economics, University of Coimbra.
    2. Noemí Pulido Pavón & Luis Palma Martos, 2014. "Effectiveness of Intellectual Property Regimes: 2006-2011," GEMF Working Papers 2014-12, GEMF, Faculty of Economics, University of Coimbra.
    3. Simplice A. Asongu & Antonio R. Andrés, 2017. "The impact of software piracy on inclusive human development: evidence from Africa," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(5), pages 585-607, September.
    4. Romeu, Andrés & Martinez-Sanchez, Francisco, 2015. "Technological Development and Software Piracy," UMUFAE Economics Working Papers 43702, DIGITUM. Universidad de Murcia.
    5. Salahodjaev, Raufhon & Odilova, Shoirahon & Andrés, Antonio R., 2016. "Intelligence and Crime: A novel evidence for software piracy," MPRA Paper 71569, University Library of Munich, Germany.
    6. Odilova, Shoirahon, 2017. "Cognitive abilities, institutions and software piracy: a note," MPRA Paper 76861, University Library of Munich, Germany.
    7. Martínez-Sánchez, Francisco & Romeu, Andrés, 2018. "Development and software piracy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    8. Łukasz Tomczyk, 2021. "Evaluation of Digital Piracy by Youths," Future Internet, MDPI, vol. 13(1), pages 1-26, January.

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    More about this item

    Keywords

    Piracy Losses; Software Piracy; Copyright; System GMM;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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