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

Xiaojuan Zhao and Yunhua Liu

PLOS ONE, 2020, vol. 15, issue 6, 1-13

Abstract: 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0233601

DOI: 10.1371/journal.pone.0233601

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