首页 | 本学科首页   官方微博 | 高级检索  
     检索      

知识密集型制造业专利创新运营绩效研究
引用本文:侯建,陈恒.知识密集型制造业专利创新运营绩效研究[J].系统工程理论与实践,2017,37(7):1709-1719.
作者姓名:侯建  陈恒
作者单位:哈尔滨工程大学 经济管理学院, 哈尔滨 150001
基金项目:国家软科学基金(2013GXS5B190);中央高校基本科研业务费专项资金项目(HEUCFZ1609);中央高校基本科研业务费专项资金——博士研究生科研创新基金项目资助(HEUGIP201718)
摘    要:利用SFA模型进行分解修正样本投入的偏移量,在此基础上引入Malmquist指数改进,结合Tobit技术,综合考虑环境因素、随机误差与动态变化,将时空异质性和影响因素引入专利创新的运营绩效模型进行动态分析,从方法和内容上深入探究知识密集型制造业专利创新运营绩效异质性和影响机制.结果表明,考虑处理环境效应和随机误差的专利创新运营绩效出现显著变化,环境因素对专利创新运营绩效影响存在时空异质性;调整后2007-2013年专利创新运营绩效呈现双重升降的波动趋势,各时期差异明显;调整后各地区专利创新运营绩效增长幅度较大,其中技术水平指数均发生不同程度改善,是调整后专利创新运营绩效提升的主要动力;政府支持对知识密集型制造业专利创新运营绩效具有显著的正向影响,而知识产权保护产生显著抑制效应,市场竞争、企业规模和技术消化吸收能力对专利创新运营绩效的推动作用不明显.

关 键 词:知识密集型制造业  专利创新运营绩效  时空异质性  影响因素  环境效应  随机误差  
收稿时间:2015-11-09

The operation performance of patent innovation in knowledge-intensive manufacturing industry
HOU Jian,CHEN Heng.The operation performance of patent innovation in knowledge-intensive manufacturing industry[J].Systems Engineering —Theory & Practice,2017,37(7):1709-1719.
Authors:HOU Jian  CHEN Heng
Institution:School of Economics and Management, Harbin Engineering University, Harbin 150001, China
Abstract:Using SFA model to decompose and modify the offset of the sample input, and introducing the Malmquist index to improve the operating performance model, then, combined with Tobit model, which is taken into account the combination of environmental effect, random error and dynamic analysis, and the spatial and temporal heterogeneity and influence factors are introduced. Thus, this paper explores the heterogeneity and influence mechanisms of the patented innovations operational performance of knowledge-intensive manufacturing from the method and content. The results show that the patent innovation operational performance which is considering the environmental effect and random error is significantly different, and the environmental factors have a temporal and spatial heterogeneity in the patent innovation operational performance; The adjusted patent innovation operational performance is a double fluctuation, and the difference is obvious in each period; After the adjustment, the growth rate of the patent innovation operational performance is relatively large, and the technical level index is improved in different degrees, which is the main driving force for the improvement of the patent innovation operational performance; Government support has a significant positive effect on the patent innovation operational performance of knowledge-intensive manufacturing, and intellectual property protection have a significant inhibitory effect, and the market competition, enterprise scale and technology digestion and absorption capacity are not obvious to promote the patent innovation operational performance.
Keywords:knowledge-intensive manufacturing industry  patent innovation operational performance  spatial-temporal heterogeneity  influence factors  environmental effect  random error
本文献已被 CNKI 等数据库收录!
点击此处可从《系统工程理论与实践》浏览原始摘要信息
点击此处可从《系统工程理论与实践》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号