基于专利数据的产业核心技术识别研究——以5G移动通信产业为例
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摘要
[目的/意义]基于专利数据利用指标体系探索核心技术的识别,能够更加全面客观地识别核心技术,有助于丰富核心技术识别方法。[方法/过程]筛选产业核心技术评价指标,构建核心技术识别指标体系,利用最优组合赋权法确定指标权重,构建核心技术评价指数,根据计算结果序列对专利进行分类。以5G移动通信产业专利数据为样本对核心专利进行识别。[结果/结论]识别出的15件核心技术均为美国持有,申请年份主要集中在2012年和2013年,技术领域集中在H04L(数字信息的传输)和H04W(无线通信网络)两个小类中。核心技术主要是在(D2D)通信系统中以不同的方法实现通信设备相互识别并通信的技术。
[Purpose/Significance]Exploring an identification of core technology based on patent data by the use of index system is helpful to identify core technology more comprehensively and objectively and enrich the identification methods.[Method/Process]The indicators were screened and core technology identification index system was constructed. The optimal combination weighting method was used to determine the index weight, then, the core technology evaluation index was built, and the patents are classified according to the calculated results. Then, worldwide, statistical patent data of the fifth generation mobile communication industry is used to do empirical study.[Result/Conclusion]The results show that the 15 core patents are held in the United States and applied mainly in 2012 and 2013, then, the technology field is concentrated on two subcategories of H04 L(digital information transmission) and H04 W(wireless communication network). These are the methods and systems for establishing different connections between two user devices through a system called Device-to-Device(D2 D) communication.
[Purpose/Significance]Exploring an identification of core technology based on patent data by the use of index system is helpful to identify core technology more comprehensively and objectively and enrich the identification methods.[Method/Process]The indicators were screened and core technology identification index system was constructed. The optimal combination weighting method was used to determine the index weight, then, the core technology evaluation index was built, and the patents are classified according to the calculated results. Then, worldwide, statistical patent data of the fifth generation mobile communication industry is used to do empirical study.[Result/Conclusion]The results show that the 15 core patents are held in the United States and applied mainly in 2012 and 2013, then, the technology field is concentrated on two subcategories of H04 L(digital information transmission) and H04 W(wireless communication network). These are the methods and systems for establishing different connections between two user devices through a system called Device-to-Device(D2 D) communication.
引文
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[33] 朱艳卿.基于DEA与离差最大化的区域高技术产业创新绩效评价研究[D].合肥:合肥工业大学,2015.
[34] 广州奥凯信息咨询有限公司.鱼尼丁抑制剂(新一代杀虫剂)专利信息报告[R].2011.
[2] 李建蓉.专利文献与信息[M].北京: 知识产权出版社,2002.
[3] Lanjouw J O,Schankerman.Estimates of the value of patent rights in European countries during the post-1950 period [J].The Economic Journal,1986,96(384):1052-1076.
[4] Abert M B,Avery D.Direct validation of citation counts as indicators of industrially important patents [J].Research Policy,1991,20(3):251-259.
[5] Harhoff D,Narin F,Scherer F M.Citation frequency and the value of patented inventions [J].The Review of Economics and Statistics,1999(8):511-515.
[6] M Trajtenberg.A penny for your quotes: Patent citation sand the value of inventions [J].RAND Journal of Economics,1990,21(1):172-187.
[7] 栾春娟,王续琨,刘则渊.基于《德温特》数据库的核心技术确认方法[J].科学学与科学技术管理,2008(6):32-34.
[8] 李伟,刘红光.国外混合动力汽车领域专利引证分析[J].情报杂志,2011,30(9):6-13.
[9] 袁润,钱过.战略性新兴产业核心专利的识别[J].情报杂志,2013,32(3):44-50.
[10] Lanjouw J O,Schankerman.Patent quality and research productivity: Measuring innovation with multiple indicators[J].Economic Journal,2004,114(495):441-465.
[11] Tong X,Frame J D.Measuring national technological performance with patent claims data[J].Research Policy,1994,23(2):133-141.
[12] 孙涛涛,金碧辉.关键技术挖掘与企业技术竞争情报——以DVD激光头技术为例[J].图书情报工作,2008(5):129-132.
[13] 孙涛涛,唐小利,李越.核心专利的识别方法及其实证研究[J].图书情报工作,2012(4):80-84.
[14] 沈君,王续琨,高继平,等.基于文献计量指标的关键技术的探寻——以第三代移动通信技术为例[J].情报杂志,2011,30(9):34-39.
[15] 侯剑华,范二宝.基于专利家族的核心技术演进分析——以太阳能光伏电池技术为例[J].情报杂志,2014,33(12):30-35.
[16] 张娴,方曙,肖国华,等.专利文献价值评价模型构建及实证分析[J].科技进步与对策,2011,28(6):127-132.
[17] 霍翠婷.企业核心专利判定的方法研究[J].情报杂志,2012,31(11):95-99.
[18] 罗天雨.核心专利判别方法及其在风力发电产业中的应用[J].图书情报工作,2012(24):96-101.
[19] 谢萍,袁润,钱过.基于TOPSIS方法的核心专利识别研究[J].情报理论与实践,2015,38(6):88-92.
[20] 汤勇力,李剑敏,李从东,等.面向制造企业价值链升级的产业关键技术识别研究[J].科学学研究,2016(12):1777-1788.
[21] 高继平,丁堃.专利研究文献的可视化分析[J].情报杂志,2009,28(7):12-16.
[22] 杨中楷,刘佳.基于专利引文网络的技术轨道识别研究——以太阳能光伏电池板领域为例[J].科学学研究,2011(9):1311-1317.
[23] 黄鲁成,石媛嫄,吴菲菲.基于专利引用的技术轨道动态分析——以太阳能电池为例[J].科学学研究,2013(3):358-367.
[24] 王健美,刘志芳,戴爱兵.纯电动汽车产业关键技术演进分析——专利引文分析视角[J].图书情报工作,2014(14):21-27.
[25] 张杰,刘粉香,翟东升,等.基于共现网络的核心技术领域识别研究[J].情报杂志,2012,31(11):35-39.
[26] 栾春娟,曾国屏.基于SNA核心技术领域测度研究[J].图书情报工作,2011(6):33-35.
[27] 陆萍,柯岚馨.Innography在学科核心专利挖掘中的应用研究[J].图书馆工作与研究,2012(8):122-125.
[28] 李蓓,陈向东.海峡两岸核心及新兴技术比较—基于专利引文网络的分析[J].科研管理,2015(2):96-106.
[29] 黄晓斌,梁辰.基于专利引用网络的4G通信技术竞争态势分析[J].情报杂志,2014,33(4):52-58.
[30] 栾春娟,尹爽.全球3G领域专利计量及中国的机遇与挑战[J].技术与创新管理,2009(6):729-732.
[31] 王学军,郭亚军.基于G1法的判断矩阵的一致性分析[J].中国管理科学,2006(3):65-70.
[32] 郭亚军.综合评价理论、方法及应用[M].北京: 科学出版社,2002.
[33] 朱艳卿.基于DEA与离差最大化的区域高技术产业创新绩效评价研究[D].合肥:合肥工业大学,2015.
[34] 广州奥凯信息咨询有限公司.鱼尼丁抑制剂(新一代杀虫剂)专利信息报告[R].2011.