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Record W3193647324

Potential Impact of Provisions of Intellectual Property Rights Related to the Pharmaceutical Sector in the Comprehensive and Progressive Agreement for Trans-Pacific Partnership on Access to Medicines, in the Context of the COVID-19 Pandemic (preprint)

2021· article· en· W3193647324 on OpenAlexaboutno aff
Thi Mai Le

Bibliographic record

VenueSSRN Electronic Journal · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual propertyGeneral partnershipContext (archaeology)PatentabilityTRIPS architectureTRIPS AgreementInternational tradeBusinessAccess to medicinesIndependence (probability theory)Economic partnership agreementNegotiationPolitical scienceLawFree tradeEngineeringGeographyFinancePatent law
DOInot available

Abstract

fetched live from OpenAlex

With the aim of strengthening the economic integration to liberalize trade and investment among members, 12 countries in the Pacific Rim including Australia, Brunei, Canada, Chile, Japan, Malaysia, Mexico, New Zealand, Peru, Singapore, the United States and Vietnam came together under a FTA called Trans-Pacific Partnership Agreement (TPP). After the withdrawal of the United States based on the consideration that the agreement would adversely affect the its economy and independence, the remaining 11 countries came up with a new FTA, now renamed as the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP). In terms of IPRs, among various provisions, CPTPP incorporated a few controversial articles intensively related to the pharmaceutical sector including patentability, patent term extension, test data exclusivity and patent linkage. These provisions promote a higher level of protection for IPRs compared to the TRIPs agreement; therefore, raise strong arguments regarding their potential consequences on public health. Although the first three provisions, namely patentability, patent term extension and test data exclusivity, were suspended in the transition from TPP to CPTPP, their possible impact on access to medicines has not withered yet based on the fact that the negotiation of these suspended articles can be reopened to welcome the United States back and attract new members to the game. The thesis will focus on analyzing the aforementioned IPRs introduced in CPTPP, both the suspended and remaining ones, in relation to access to medicines in member states, especially in developing countries. A comparison between these provisions and corresponding provisions under TRIPs, references to other TRIPs-Plus FTAs and arguments surrounding their justifications will be incorporated. The evaluation of potential impact of such IPRs on widespread access to affordable medicines will be elaborated through various examples and studies including those in countries which are not members of CPTPP but have already introduced such TRIPs-Plus provisions into their domestic laws. Especially, such provisions also raise strong concerns in the context of the COVID-19 pandemic when governments are putting their priorities on developing safe and effective vaccines and treatment medicines used against the disease. Therefore, the question of whether such provisions would create obstacles to member states in utilizing flexibilities set out under TRIPs such as compulsory licensing, and prevent them from timely and proper access to pharmaceutical products used for COVID-19 will also be discussed. At the end, this thesis comes up with several suggestions regarding possible actions for the countries to consider in order to minimize the potential impact of such provisions, while considering the scenario of a re-opening of negotiation and lift of the suspension of these provisions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.139
GPT teacher head0.349
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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