Predicting the value of Chinese patents using patent characteristics: evidence based on a Chinese patent auction

IF 2.8 4区管理学 Q2 BUSINESS

Industrial and Corporate Change Pub Date : 2023-06-23 DOI:10.1093/icc/dtad026

Zhifeng Yin, Zhen Sun

引用次数: 0

Abstract

This study revisits the question of predicting patent value with observed patent statistics, exploiting a rare public auction of patents in China in which the starting prices are used as approximates of patent private value. Family size and the number of assignees come out as the most consistent indicators, while notably, forward citations turn out to be not important. This discrepancy with past studies is investigated. We propose some of the institutional features in the Chinese patent system could lead to the forward citations not as informative as their counterpart in other jurisdictions. The findings bear important implications as Chinese patent data are increasingly being used in innovation studies.

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利用专利特征预测中国专利价值:基于中国专利拍卖的证据

本研究利用中国罕见的专利公开拍卖，利用观察到的专利统计数据重新审视了预测专利价值的问题，其中起拍价被用作专利私有价值的近似值。家庭规模和受让人数量是最一致的指标，而值得注意的是，转发引用结果并不重要。这一差异与过去的研究进行了调查。我们认为，中国专利制度的一些制度特征可能导致前瞻性引文不像其他司法管辖区的同类引文那样具有信息量。随着中国专利数据越来越多地用于创新研究，这一发现具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Industrial and Corporate Change Multiple-

CiteScore

5.10

自引率

4.00%

发文量

期刊介绍： The journal covers the following: the internal structures of firms; the history of technologies; the evolution of industries; the nature of competition; the decision rules and strategies; the relationship between firms" characteristics and the institutional environment; the sociology of management and of the workforce; the performance of industries over time; the labour process and the organization of production; the relationship between, and boundaries of, organizations and markets; the nature of the learning process underlying technological and organizational change.