Empirical prediction of patent pledge financing of pharmaceutical enterprises-A case study in Jiangsu China.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 30 01 2020
accepted: 28 04 2020
entrez: 5 6 2020
pubmed: 5 6 2020
medline: 22 8 2020
Statut: epublish

Résumé

Financing by patent pledge is an important way for small- and medium-sized pharmaceutical enterprises to address financing problems. In this study, eight indexes are analyzed considering both the pledge patent value and pledger credit value. And a prediction model for the patent pledge financing amount for pharmaceutical enterprises is constructed for the first time using the analytic hierarchy process and the fuzzy comprehensive evaluation method. Three levels of financing amount are concluded through the prediction model and prediction results corresponding with the financing amount are displayed. This model was designed to help small- and medium-sized pharmaceutical enterprises get access to financing through patent pledge to relieve their financial stress. At the same time, it provides guides for pledgees and policymakers to improve the efficiency and quality of patent pledge. This work is reliable and valid in that it constructs this prediction model based on systematical data from official data sources.

Identifiants

pubmed: 32497063
doi: 10.1371/journal.pone.0233601
pii: PONE-D-20-02756
pmc: PMC7271991
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0233601

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Ther Innov Regul Sci. 2014 Mar;48(2):226-235
pubmed: 30227501
PLoS One. 2019 Aug 20;14(8):e0221411
pubmed: 31430349

Auteurs

Xiaojuan Zhao (X)

School of Intellectual Property, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.

Yunhua Liu (Y)

School of Intellectual Property, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
University of Copenhagen, Copenhagen, Danmark.

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Classifications MeSH