nep-ipr New Economics Papers
on Intellectual Property Rights
Issue of 2021‒06‒14
three papers chosen by
Giovanni Ramello
Università degli Studi del Piemonte Orientale “Amedeo Avogadro”

  1. Optimal Patent Protection and Expected Utility Model: A Transition Economy Example By Niftiyev, Ibrahim
  2. Decoding patent examination services By Lluís Gimeno Fabra; Bruno Van Pottelsberghe
  3. Patenting in 4IR Technologies and Firm Performance By BENASSI Mario; GRINZA Elena; RENTOCCHINI Francesco; RONDI Laura

  1. By: Niftiyev, Ibrahim
    Abstract: This paper aims to critically appraise optimal patent protection using the expected utility model from the perspectives of governments to balance the motivation and social use of the intellectual property. In order to achieve this aim, the report has presented the working mechanism of governments towards patent protection; use of utility model by governments; past and present academic investigations on the topic; strategizing behavior of governments towards patents and as a brief example, a case of the transition economy. The expected utility model has provided an effective and efficient framework for the development of patent strategy by governments. The essay has noted that due to the differences between industries and their dynamics, it is expected that diverse patent regimes should be followed to balance the social utility and economic utility of the economic actor to engage in research and development.
    Keywords: Patent protection,expected utility,function,optimization,transition economy
    Date: 2021
  2. By: Lluís Gimeno Fabra; Bruno Van Pottelsberghe
    Date: 2020–05–21
  3. By: BENASSI Mario; GRINZA Elena; RENTOCCHINI Francesco (European Commission - JRC); RONDI Laura
    Abstract: We investigate whether firm performance is related to the accumulated stock of technological knowledge associated with the Fourth Industrial Revolution (4IR) and, if so, whether the firm’s history in 4IR technology development affects such a relationship. We exploit a rich longitudinal matched patent-firm data set on the population of large firms that filed 4IR patents at the European Patent Office (EPO) between 2009 and 2014, while reconstructing their patent stocks from 1985 onwards. To identify 4IR patents, we use a novel two-step procedure proposed by EPO (2020), based on Cooperative Patent Classification (CPC) codes and on a full-text patent search. Our results show a positive and significant relationship between firms’ stocks of 4IR patents and labour and total factor productivity. We also find that firms with a long history in 4IR patent filings benefit more from the development of 4IR technological capabilities than later applicants. Conversely, we find that firm profitability is not significantly related to the stock of 4IR patents, which suggests that the returns from 4IR technological developments may be slow to be cashed in. Finally, we find that the positive relationship with productivity is stronger for 4IR-related wireless technology and for AI, cognitive computing and big data analytics.
    Keywords: Fourth Industrial Revolution (4IR); patent applications; technology development; firm performance; longitudinal matched patent-firm data; Industry 4.0
    Date: 2021–05

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