基于专利的中国高校及科研院所高铁技术创新能力评价
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摘要
通过检索IncoPat数据库获取中国高校及科研院所高铁专利数据,以中国32家高校和科研院所为样本,选取11个专利评价指标,运用因子分析法对实证样本进行综合评价。研究结果发现中国高校及科研院所高铁技术创新能力差距较大,且在技术创新整体水平、技术创新平均水平和技术创新管理这三个方面发展不均衡。针对这一结果,提出提高中国高校及科研院所高铁技术创新能力的建议。
This paper obtains high-speed rail patent data from Chinese universities and research institutes by searching the IncoPat database. Taking the sample of 32 universities and research institutes in China, 11 patent evaluation indicators were selected, and a comprehensive analysis of empirical samples was conducted using factor analysis. The study found that the technological innovation capability of high-speed railways in Chinese universities and scientific research institutes has a wide gap, and it is unbalanced in terms of the overall level of technological innovation, average level of technological innovation, and technology innovation management. In response to these results, this paper puts forward some suggestions to improve the high-speed railway technology innovation capability of Chinese universities and research institutes.
This paper obtains high-speed rail patent data from Chinese universities and research institutes by searching the IncoPat database. Taking the sample of 32 universities and research institutes in China, 11 patent evaluation indicators were selected, and a comprehensive analysis of empirical samples was conducted using factor analysis. The study found that the technological innovation capability of high-speed railways in Chinese universities and scientific research institutes has a wide gap, and it is unbalanced in terms of the overall level of technological innovation, average level of technological innovation, and technology innovation management. In response to these results, this paper puts forward some suggestions to improve the high-speed railway technology innovation capability of Chinese universities and research institutes.
引文
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[13]应璇, 孙济庆.基于专利数据分析的高校技术创新能力研究[J].现代情报,2011,31(9):165-168.
[14]陈良兴, 赵晓庆, 郑林英.基于专利信息分析的企业技术创新能力评价:以通信企业为例 [J].科技与经济, 2012, 25(1): 37-41.
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[2]经济合作与发展组织(OECD).弗拉斯卡蒂丛书:专利科技指标手册 [M].北京:新华出版社,1999.
[3]张丽玮,邵世才,魏海燕,等.OECD专利分析指标[J].情报科学,2009,27(1):124-127,144.
[4]SAPSALIS E, POTTERIE B VAN P D L. The institutional sources of knowledge and the value of academic patents[J].Economics of Innovation and New Technology,2007,16(2):139-157.
[5]FABRY B, ERNST H, LANGHOLZ J,et al.Patent portfolio analysis as a useful tool for identifying R&D and business opportunities: an empirical application in the nutrition and health industry[J].World Patent Information,2005,28(3):215-225.
[6]MCALEER M L, CHAN F, MARINOVA D. An econometric analysis of asymmetric volatility: theory and application to patents[J].Journal of Econometrics,2006,139(2):259-284.
[7]瞿卫军, 姬翔, 刘洋, 等.衡量地区专利实力的新指标:“专利聚集度”初探[J].知识产权,2009,19(4):3-6.
[8]梁晓捷,王兵.基于专利信息的国内外钢铁产业技术创新能力评价[J].管理学报,2017,14(3):382-388.
[9]谷丽,阎慰椿,韩雪,等.专利申请质量评价指标体系研究[J].科研管理,2018,39(S1):130-136.
[10]闫明,董丽.从专利角度分析溶菌酶药物技术创新现状及研发思路[J].中国药业,2018,27(1):1-4.
[11]冯君.h指数应用于专利影响力评价的探讨[J].情报杂志,2009,28(12):16-20.
[12]EGGHE L. Theory and practice of the g-index[J].Scientometrics,2006,69(1):131-152.
[13]应璇, 孙济庆.基于专利数据分析的高校技术创新能力研究[J].现代情报,2011,31(9):165-168.
[14]陈良兴, 赵晓庆, 郑林英.基于专利信息分析的企业技术创新能力评价:以通信企业为例 [J].科技与经济, 2012, 25(1): 37-41.
[15]游家兴.如何正确运用因子分析法进行综合评价[J].统计教育,2003(5):10-11.
[16]王铁军.加强高校专利管理的若干思考[J].中国市场,2009(5):156-157.