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Analysis of the Correlation between Forward Patent Citation and Patent Waiver in the Safety Emergency Industry |
Li Rui1, Zhang Handong1, Zhu Yu2, Long Rui2 |
1.Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610207 2.School of Public Administration, Sichuan University, Chengdu 610065 |
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Abstract The forward patent citation is a disputable patent evaluation index, although it is generally considered by the academia to have a positive evaluation significance. However, opposing standpoints have been presented constantly. This study conducts an empirical analysis on the correlation between forward patent citation and patent waiver, rediscovering the evaluation significance of forward patent citation from a new perspective. Taking 24,510 safety emergency industry patents in four technological domains as samples, this study explored the correlation between forward patent citation and patent waiver using a log-linear model and multivariate statistical difference analysis method. Based on the calculation of cross contingency table, chi-square statistics, and the probability value, this study found a statistically significant correlation between the two factors, implying that patents are more likely to be waived once cited. This study's discovery provides new content to objectively understand the meaning of forward patent citation in information science and establishes novel ideas in using an index of forward patent citation to evaluate patents.
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Received: 16 August 2021
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1 Narin F. Patent bibliometrics[J]. Scientometrics, 1994, 30(1): 147-155. 2 Albert M B, Avery D, Narin F, et al. Direct validation of citation counts as indicators of industrially important patents[J]. Research Policy, 1991, 20(3): 251-259. 3 Hall B, Jaffe A, Trajtenberg M. Market value and patent citations[J]. The RAND Journal of Economics, 2005, 36(1): 16-38. 4 Lanjouw J O, Schankerman M. The quality of ideas: measuring innovation with multiple indicators[R]. Cambridge: National Bureau of Economic Research, 1999: working paper 7345. 5 Harhoff D, Narin F, Scherer F M, et al. Citation frequency and the value of patented inventions[J]. The Review of Economics and Statistics, 1999, 81(3): 511-515. 6 郭状, 余翔. 基于我国人工智能专利数据的专利价值影响因素分析[J]. 情报杂志, 2020, 39(9): 88-94. 7 李小童, 徐菲. 高价值专利识别方法有效性实证研究[J]. 科技与法律, 2019(1): 11-17. 8 张克群, 牛悾悾, 夏伟伟. 高被引专利质量的影响因素分析——以LED产业为例[J]. 情报杂志, 2018, 37(2): 81-87. 9 Frietsch R, Neuh?usler P, Jung T, et al. Patent indicators for macroeconomic growth—the value of patents estimated by export volume[J]. Technovation, 2014, 34(9): 546-558. 10 王珊珊. 企业专利优势的分析与表征——基于13家智能手机公司的研究[J]. 中国科技论坛, 2020(12): 154-163. 11 宋艳, 常菊, 陈琳. 专利质量对企业绩效的影响研究——技术创新类型的调节作用[J]. 科学学研究, 2021, 39(8): 1459-1466. 12 Belenzon S. Cumulative innovation and market value: evidence from patent citations[J]. The Economic Journal, 2012, 122(559): 265-285. 13 赖流滨, 张运生. 专利特征对加入专利池的影响——基于MPEG LA的实证研究[J]. 科技进步与对策, 2021, 38(17): 26-33. 14 Sreekumaran Nair S, Mathew M, Nag D. Dynamics between patent latent variables and patent price[J]. Technovation, 2011, 31(12): 648-654. 15 Fischer T, Leidinger J. Testing patent value indicators on directly observed patent value—an empirical analysis of Ocean Tomo patent auctions[J]. Research Policy, 2014, 43(3): 519-529. 16 Higham K, de Rassenfosse G, Jaffe A B. Patent quality: towards a systematic framework for analysis and measurement[J]. Research Policy, 2021, 50(4): 104215. 17 李睿, 赵安琪. 文献计量学视野下专利寿命与多重因素的相关性解析——来自催化领域的实证[J]. 情报学报, 2017, 36(6): 547-554. 18 高继平, 王海燕, 翟丽华, 等. “零被引专利”就没有价值吗?——“零被引专利”在科学论文中的应用分析[J]. 科技导报, 2019, 37(6): 19-26. 19 Abrams D S, Akcigit U, Grennan J. Patent value and citations: creative destruction or strategic disruption?[R]. Cambridge: National Bureau of Economic Research, 2013: working paper 19647. 20 张晓月, 陈鹏龙, 赵魏珵. 专利质量对企业绩效的作用关系研究——以创业板上市公司为例[J]. 科技管理研究, 2017, 37(22): 170-176. 21 朱桂龙, 王萧萧. 专利质量影响因素分析——基于专利引文结构新视角[J]. 中国科技论坛, 2019(9): 67-75. 22 吴红, 冀方燕. 基于专利申请及审查制度的专利引文评价效能实证研究[J]. 图书情报工作, 2017, 61(19): 89-95. 23 王蕾, 曹希敬. 熊彼特之创新理论的发展演变[J]. 科技和产业, 2012, 12(6): 84-88. 24 李学林, 陈晓一, 刘碧辉. 熊比特创新与创新驱动型经济增长方式的运行机制研究[J]. 商业经济研究, 2017(21): 176-178. 25 钟春平, 徐长生. 技术(产品)替代、创造性破坏与周期性经济增长[J]. 经济学(季刊), 2005, 4(3): 865-890. 26 Caballero R J, Jaffe A B. How high are the giants' shoulders: an empirical assessment of knowledge spillovers and creative destruction in a model of economic growth[J]. NBER Macroeconomics Annual, 1993, 8: 15-74. 27 Leiva Bertran F J. Patents, citations and the market value of innovations[D]. Rochester: University of Rochester, 2005. 28 吴明华, 攸频. 趋势成分引起的虚假回归问题解决方法研究[J]. 数量经济技术经济研究, 2016, 33(12): 113-128, 158. 29 万小丽. 专利质量指标中“被引次数”的深度剖析[J]. 情报科学, 2014, 32(1): 68-73. 30 IP Australia[EB/OL]. [2018-06-28]. https://www.ipaustralia.gov.au/. 31 Japan Patent Office[EB/OL]. [2018-04-25]. https://www.jpo.go.jp/. 32 United States Patent and Trademark Office[EB/OL]. [2018-04-16]. https://www.uspto.gov/. 33 国家知识产权局[EB/OL]. [2021-11-06]. http://www.cnipa.gov.cn/. 34 Intellectual Property Office[EB/OL]. [2018-05-26]. https://www.gov.uk/government/organisations/intellectual-property-office/. 35 European Patent Office[EB/OL]. [2018-05-08]. https://www.epo.org/. 36 Korean Intellectual Property Office[EB/OL]. [2018-07-06]. https://www.kipo.go.kr/en/MainApp?c=1000/. 37 理查德·格里格, 菲利普·津巴多. 心理学与生活[M]. 王垒, 王甦, 等译. 北京: 人民邮电出版社, 2003. 38 王福顺. 情绪心理学[M]. 北京: 人民卫生出版社, 2018. 39 威廉·M.兰德斯, 理查德·A.波斯纳. 知识产权法的经济结构[M]. 金海军, 译. 北京: 北京大学出版社, 2005. |
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