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Effects of the utilization of intellectual property by scientific researchers on economic growth in Mexico.

ABSTRACT: The present article examines the impact of intellectual property (IP) utilization and concentration on economic growth in Mexico. The findings presented center on the use of different forms of IP by researchers in the National System of Researchers (SNI in Spanish) of Mexico. We focus especially on the externalities associated with the use of IP by researchers, as well as on understanding how knowledge about, and utilization of IP relates to economic growth, as measured by gross domestic product (GDP). The results of our analyses indicate that in the context of the Mexican SNI, the utilization of certain forms of IP, specifically patents and industrial designs, had a positive impact on economic growth, while the use of utility models was negatively linked to drivers of growth. Policies based on these results could seek to foster awareness and utilization of particular forms of IP by SNI researchers, which in turn could result in greater economic growth in Mexico.

SUBMITTER: Beltran-Morales LF

PROVIDER: S-EPMC8513833 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundTransparency and accountability are essential components at all stages of the trade negotiation process. This study evaluates the extent to which these principles were upheld in the United States' public consultation process during the negotiation of the United States-Mexico-Canada Agreement (USMCA), with respect to public comments about the pharmaceutical sector and access to medicines.ResultsThe public consultation process occurred before the start of official negotiations and was overseen by the Office of the United States Trade Representative (USTR). It included both written comments and oral testimony about US trade negotiation objectives. Of the written comments that specifically discussed issues relating to pharmaceuticals, the majority were submitted by private individuals, members of the pharmaceutical industry, and civil society organizations. Nearly all comments submitted by non-industry groups indicated that access to medicines was a priority issue in the renegotiated agreement, with specific reference to price affordability. By contrast, more than 50% of submissions received from members or affiliates of the pharmaceutical industry advocated for strengthened pharmaceutical intellectual property rights, greater regulatory data protections, or both. This study reveals mixed outcomes with respect to the level of transparency achieved in the US trade negotiation process. Though input from the public at-large was actively solicited, the extent to which these comments were considered in the content of the final agreement is unclear. A preliminary comparison of the analyzed comments with the USTR's final negotiating objectives and the final text of the USMCA shows that several provisions that were advanced exclusively by the pharmaceutical industry and ultimately adopted in the final agreement were opposed by the majority of non-industry stakeholders.ConclusionsNegotiators could increase public transparency when choosing to advance one competing trade objective over another by actively providing the public with clear rationales for their negotiation positions, as well as details on how public comments are taken into account to form these rationales. Without greater clarity on these aspects, the public consultation process risks appearing to serve as a cursory government mechanism, lacking in accountability and undermining public trust in both the trade negotiation process and its outcomes.

Project description:Quantifying and comparing the scientific output of researchers has become critical for governments, funding agencies and universities. Comparison by reputation and direct assessment of contributions to the field is no longer possible, as the number of scientists increases and traditional definitions about scientific fields become blurred. The h-index is often used for comparing scientists, but has several well-documented shortcomings. In this paper, we introduce a new index for measuring and comparing the publication records of scientists: the pagerank-index (symbolised as π). The index uses a version of pagerank algorithm and the citation networks of papers in its computation, and is fundamentally different from the existing variants of h-index because it considers not only the number of citations but also the actual impact of each citation. We adapt two approaches to demonstrate the utility of the new index. Firstly, we use a simulation model of a community of authors, whereby we create various 'groups' of authors which are different from each other in inherent publication habits, to show that the pagerank-index is fairer than the existing indices in three distinct scenarios: (i) when authors try to 'massage' their index by publishing papers in low-quality outlets primarily to self-cite other papers (ii) when authors collaborate in large groups in order to obtain more authorships (iii) when authors spend most of their time in producing genuine but low quality publications that would massage their index. Secondly, we undertake two real world case studies: (i) the evolving author community of quantum game theory, as defined by Google Scholar (ii) a snapshot of the high energy physics (HEP) theory research community in arXiv. In both case studies, we find that the list of top authors vary very significantly when h-index and pagerank-index are used for comparison. We show that in both cases, authors who have collaborated in large groups and/or published less impactful papers tend to be comparatively favoured by the h-index, whereas the pagerank-index highlights authors who have made a relatively small number of definitive contributions, or written papers which served to highlight the link between diverse disciplines, or typically worked in smaller groups. Thus, we argue that the pagerank-index is an inherently fairer and more nuanced metric to quantify the publication records of scientists compared to existing measures.

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Effects of the utilization of intellectual property by scientific researchers on economic growth in Mexico.

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