nep-ipr New Economics Papers
on Intellectual Property Rights
Issue of 2016‒03‒29
four papers chosen by
Giovanni Ramello
Università degli Studi del Piemonte Orientale “Amedeo Avogadro”

  1. Fighting Software Piracy: Some Global Conditional Policy Instruments By Simplice Asongu; Pritam Singh; Sara Le Roux
  2. Corporate taxation and location of intangible assets: Patents vs. trademarks By Dudar, Olena; Voget, Johannes
  3. The Bright Side of Patents By Joan Farre-Mensa; Deepak Hegde; Alexander Ljungqvist
  4. Patents and Research Investments: Assessing the Empirical Evidence By Eric Budish; Benjamin N. Roin; Heidi L. Williams

  1. By: Simplice Asongu (Yaoundé/Cameroun); Pritam Singh (Oxford Brookes, UK); Sara Le Roux (Oxford Brookes, UK)
    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.
    Keywords: Intellectual property rights; Panel data; Software piracy
    JEL: F42 K42 O34 O38 O57
    Date: 2016–03
    URL: http://d.repec.org/n?u=RePEc:agd:wpaper:16/004&r=ipr
  2. By: Dudar, Olena; Voget, Johannes
    Abstract: Numerous empirical studies have analysed the influence of corporate taxation on the location of intangible assets within a company group. However, the previous literature has rather focused on studying the impact of taxation on patent location choices assuming that these assets represent the rest of intangibles as well. This paper complements previous studies by estimating and comparing the tax elasticities of two different types of intangibles - patents and trademarks. We employ data on European and US patent and trademark applications in the period of 1996-2012 and estimate a multinomial logit model that incorporates various observed and unobserved factors of the intangible's location choice. According to our main findings, trademarks are more sensitive to changes in taxation as compared to patents. This implies that firms use trademarks more eagerly for tax planning purposes than patents.
    Keywords: intangible assets,patent,trademark,tax planning,corporate taxation
    JEL: H25 F23 H26 H3
    Date: 2016
    URL: http://d.repec.org/n?u=RePEc:zbw:zewdip:16015&r=ipr
  3. By: Joan Farre-Mensa; Deepak Hegde; Alexander Ljungqvist
    Abstract: Motivated by concerns that the patent system is hindering innovation, particularly for small inventors, this study investigates the bright side of patents. We examine whether patents help startups grow and succeed using detailed micro data on all patent applications filed by startups at the U.S. Patent and Trademark Office (USPTO) since 2001 and approved or rejected before 2014. We leverage the fact that patent applications are assigned quasi-randomly to USPTO examiners and instrument for the probability that an application is approved with individual examiners’ historical approval rates. We find that patent approvals help startups create jobs, grow their sales, innovate, and reward their investors. Exogenous delays in the patent examination process significantly reduce firm growth, job creation, and innovation, even when a firm’s patent application is eventually approved. Our results suggest that patents act as a catalyst that sets startups on a growth path by facilitating their access to capital. Proposals for patent reform should consider these benefits of patents alongside their potential costs.
    JEL: D23 G24 L26 O34
    Date: 2016–02
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:21959&r=ipr
  4. By: Eric Budish; Benjamin N. Roin; Heidi L. Williams
    Abstract: A well-developed theoretical literature — dating back at least to Nordhaus (1969) — has analyzed optimal patent policy design. We re-present the core trade-off of the Nordhaus model and highlight an empirical question which emerges from the Nordhaus framework as a key input into optimal patent policy design: namely, what is the elasticity of R&D investment with respect to the patent term? We then review the — surprisingly small — body of empirical evidence that has been developed on this question over the nearly half century since the publication of Nordhaus's book.
    JEL: O3
    Date: 2016–01
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:21889&r=ipr

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