[目的/意义]通过对高校专利数据进行全方位、科学性的分析,研究其专利竞争力水平的文献,不止对高校的科研能力有着具体的评判意义,对国家的科技发展也有一定的参考价值。[方法/过程]从专利数量、专利价值、维护能力、研发潜力4个维度展开,制定了14项专利数据融合的评价体系,并应用该评价体系对东南5省(广东、广西、福建、浙江、江苏)中具有代表性的25所高校进行了专利竞争力的分析评估。[结果/结论]根据该评价体系最终将专利竞争力分成3个梯队,第一梯队由浙江大学、东南大学、华南理工大学、中山大学、南京大学、苏州大学、浙江工业大学、暨南大学8所高校组成;第二梯队则由华南农业大学、厦门大学、南京理工大学、福州大学、华南师范大学、宁波大学、南京农业大学7所高校组成;其余的为第三梯队。高校专利竞争力排名与武书连榜排名并不完全一致,部分在武书连榜上排名靠后的高校,其专利竞争力反而高过排名在前的高校。高校专利竞争力受到高校的文理偏向的干扰,并不能完全与其综合实力挂钩,同时,专利竞争力还与高校所在地区的经济实力密切相关。广东江苏浙江地区高校的专利竞争力显著高于其他地区,但是,广东省高校在专利数量上略显不足,而江苏省高校在4个维度上均没有短板,浙江省高校专利数量虽多,但专利价值和维护能力尚有欠缺。
Abstract
[Purpose / Significance] Through the comprehensive and scientific analysis of the patent data of colleges and universities and the literature on the level of patent competitiveness. We will be in a better position to judge the research capability of colleges and universities, and in the meanwhile our analysis has a certain reference value for the development of science and technology of the country. [Method / Process] From the four dimensions of patent quantity, patent value, maintenance ability and R & D potential, a patent data fusion evaluation system of 14 indicators was established, and 25 representative universities in Southeast five provinces (Guangdong, Guangxi, Fujian, Zhejiang and Jiangsu) were analyzed and evaluated by using the evaluation system. [Results / Conclusions] According to the evaluation system, the patent competitiveness was divided into three echelons. The first echelon was composed of eight universities: Zhejiang University, Southeast University, South China University of Technology, Sun Yat-sen University, Nanjing University, Suzhou University, Zhejiang University of Technology and Jinan University. The second echelon was composed of South China Agricultural University, Xiamen University, Nanjing University of Technology, Fuzhou University and South China Normal University, Ningbo University and Nanjing Agricultural University; the rest are the third echelon. The ranking of patent competitiveness of colleges and universities is not completely consistent with that of Wushu list. Some lower-ranking colleges and universities on Wushu list have higher patent competitiveness than those higher-ranking ones. The patent competitiveness of colleges and universities is impacted by their cultural and scientific focus, and not completely related to their comprehensive strength. At the same time, the patent competitiveness is also closely related to the economic strength of the region where colleges and universities are located. For example, of colleges and universities in Jiangsu and Zhejiang are obviously more competitive in patent competitivenesss than those in other regions. However, colleges and universities in Guangdong have slightly insufficient patents patents, while colleges and universities in Jiangsu are not weak in four dimensions. Although colleges and universities in Zhejiang have a large number of patents, the value and maintenance capacity of their patents are still insufficient.
关键词
专利竞争力 /
高校 /
东南
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Key words
patent competitiveness /
university /
southeast
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参考文献
[1] 杨洋. 我国高校专利转化的现状、问题及对策研究[D].长沙:中南大学,2014.
[2] Wagner R.P., The Patent Quality Index[EB/OL].[2020-1-25].https://www.law.upenn.edu/blogs/polk/pqi/faq.html.
[3] Griliches Z., Patent Statistics as Economic Indicators: A Survey[J]. Journal of Economic Literature,1990(28):1661-1707.
[4] Graf S.W., Improving Patent Quality through Identification of Relevant Prior Art: Approaches to Increase Information Flow to the Patent Office[J].Lewis & Clark Law Review,2007(11):495-519.
[5] Lanjouw J O, Schankerman M.Research Productivity and Patent Quality: Measurement with Multiple Indicators[J]. STICERD-Economics of Industry Papers,2002.
[6] 凌赵华. 国内外主流“专利指数”探析[EB/OL].[2020-1-25].https://www.chofn.com/academy/details/?id=183.
[7] Ocean Tomo, LLC. The Ocean Tomo 300?Patent Index[EB/OL].[2020-1-25].https://www.oceantomo.com/services/patent-indexes/ocean-tomo-300-patent-index.
[8] Pace University, White Plains. Power Scorecard[EB/OL].[2020-1-25].http://www.powerscorecard.org/.
[9] 唐恒,周吉.我国高校专利竞争力研究[J].科技管理研究,2014,34(07):76-80.
[10] 雒园园,田树军,谭淑霞.国内专利竞争力评价研究综述[J].科技管理研究,2011,31(9):161-164.
[11] 朱雪忠,万小丽.竞争力视角下的专利质量界定[J].知识产权,2009,19(4):7-14.
[12] 黄庆,曹津燕,瞿卫军,刘洋,石昱,肖云鹏.专利评价指标体系(一) ——专利评价指标体系的设计和构建[J].知识产权,2004,(5):25-28.
[13] 常茹茹,赵蓉英,贾增帅,张兆阳.全球人工智能专利合作特征及影响力研究[J].农业图书情报学报,2020,32(2):58-70.
[14] 黎薇,金泳锋,陈媛.层次分析法在评价企业专利竞争力中的应用[J].科技进步与对策,2007(2):103-105.
[15] 卞志昕,顾震宇,路炜,肖沪卫.基于模糊分析法的专利竞争力模型初探与应用[J].科技进步与对策,2010,27(1):115-118.
[16] 林甫. 面向产业竞争力评价的专利指标体系构建及应用[J].图书情报工作,2014,58(14):103-109.
[17] 万小丽,范秀荣.“985高校”专利竞争力研究[J].华南理工大学学报(社会科学版),2014,16(4):21-28.
[18] 郑美玉. 基于Innography的农林类高校专利竞争力研究[J].图书情报工作,2018,62(1):117-124.
[19] 秦霞. 地区专利发展趋势分析体系的构建及实证研究[J].情报探索,2014,(9):49-53.
[20] 熊海强. 基于专利情报的高校专利管理体系研究[D].上海:上海交通大学,2014.
[21] 王碧云. 大学科研创新力评价及中国提升策略研究[D].武汉:武汉大学,2016.
[22] 阮冬玲. 国内大学排行榜指标体系比较研究[D].长沙:湖南师范大学,2014.
[23] 程良友. 我国专利质量分析与研究[D].武汉:华中科技大学,2006.
[24] 周民. 正确认识和评价“专利实施率”[J].中国发明与专利,2004,(3):50-51.
[25] 陈建红. 基于Innography平台的高校专利情报分析研究[J].图书情报工作,2013,57(S2):201-203.
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