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Record W2992934123

Social Costs of the Patent System/LE COÛT SOCIAL DU SYSTÈME DE PATENTE

2006· article· fr· W2992934123 on OpenAlexvenueno aff
Ning Lizhi

Bibliographic record

VenueCanadian social science · 2006
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesChinaPolitical scienceSocial benefitsPhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

Abstract: The patent system is making progress and incorporating international practice at a tremendous pace in China. However, scholars have been raising doubts to the benefits of the patent system. They believe that the social costs borne by the developing countries for the patent system exceed the overall economic gains in the current international circumstances. China's current patent system indicates that there is a lack of sufficient understanding of the social costs and of the cost-benefit analysis of the patent system, which causes many controversies. Nowadays the related study is still struggling to quantify the social cost, while the qualitative analysis is highly disputed. However, an anatomy of the social costs is necessary to take specific cost control measures for the purpose of establishing an economically more efficient patent system suitable under China's current circumstances. Key words: Patent, Social Costs, Patent System Resume: Pas a pas, la construction sur le systeme de patente en Chine est bien developpe avec les coutumes internationals, relativement, les savants sont suspicieux sur l'efficacite de ce systeme parce qu'il a desequilibre le cout social des pays en developpements avec le profit economie du monde entier, les pays en developpements sont bien inquiets. Le systeme de patente chinois a un grand defaut dont l'analyse sur le cout-1'efficacite n'est pas suffisante, et il provoque pas mal de contestation. Maintenat, l'analyse sur le cout social du systeme de patente n'a pas encore fait une conclusion precise, mais il est necessaire de bien analyzer de divers couts sociaux quand on forge le systeme de patente, afin qu'on puisse fonder un systeme qui peut bien controler le cout et peut bien adaptable a la situation du pays. Mots-Cles: La patente, le systeme de patente, le cout social 1. INTRODUCTION The most direct motive behind the patent system is to justify the lack in R&D investment, but the system is not perfect. It may induce corporate to over-invest and foster the desire to pursue monopoly via technological edge. It is impractical to try to achieve optimal input-output equilibrium of the patent system in uncertain areas like R&D. We must look at the social costs of the patent system in a more practical way. Since we do not have specific data related to the social costs analysis of the patent system, this article is based on empirical analysis. 2. OPERATIONAL COSTS OF THE PATENT SYSTEM The operational costs of the patent system comprise of the administration costs of the patent authorities and patent holders, and is the price for keeping the system functioning. 2.1 Costs of Granting a Patent It requires a sophisticated approval process to grant a patent. It is not necessary to mention that, from submitting an application to examining and approving the grant of a patent, the patent authorities and the applicant need to spend tremendous human and physical resources. Moreover, additional costs are inevitable during the course of examination of patents. One key criteria of patent examination is creativity, but even the most authoritative examination institutions finds it difficult to avoid disputes in this regard. The European Patent Office has internationally advanced search and examination systems. However, in Germany only, over half of the invalidation requests against patents granted by the Europe Patent Office were upheld, and the most common reason is lack in creativity.2 Inappropriate decision to grant or deny a patent will have negative impact on the public welfare. A patent office has considerable discretion in determining the scope of a patent request letter and thus the protection scope of a patent. The uncertainty in the protection scope of a patent will affect further research and development work and therefore hinder the technological development. 2.2 Costs of Using the Patent System 2. …

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.006
Scholarly communication0.0070.005
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.001

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 head0.057
GPT teacher head0.201
Teacher spread0.144 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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