{"title":"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","authors":"Zhifeng Yin, Zhen Sun","doi":"10.1093/icc/dtad026","DOIUrl":null,"url":null,"abstract":"\n 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.","PeriodicalId":48243,"journal":{"name":"Industrial and Corporate Change","volume":" ","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the value of Chinese patents using patent characteristics: evidence based on a Chinese patent auction\",\"authors\":\"Zhifeng Yin, Zhen Sun\",\"doi\":\"10.1093/icc/dtad026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n 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.\",\"PeriodicalId\":48243,\"journal\":{\"name\":\"Industrial and Corporate Change\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industrial and Corporate Change\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1093/icc/dtad026\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial and Corporate Change","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1093/icc/dtad026","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Predicting the value of Chinese patents using patent characteristics: evidence based on a Chinese patent auction
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.
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.