【作者】 胡燕；

【导师】 赵玉林；

【作者基本信息】 武汉理工大学 ， 应用经济学， 2018， 硕士

【摘要】 高技术产业作为我国经济发展的增长点,其发展对于提高企业劳动生产率和国际竞争力及加快经济转型升级具有重要意义。创新作为高技术产业发展的核心驱动力,也是国家实施创新驱动发展战略的关键所在,高技术产业创新绩效自然就成为学术界和政府关注的重点。科学地评价高技术产业创新绩效有利于深化和完善高技术产业发展理论和创新经济理论,而如何提高高技术产业创新绩效有利于加快高技术产业发展并带动整体经济发展实现转型升级。本文将滞后效应和累积效应引入高技术产业创新绩效评价过程中,依据产业生命周期理论和我国高技术产业细分产业数据,比较分析同一产业不同成长阶段、不同产业在同一成长阶段的创新绩效表现,揭示高技术产业创新绩效的变动规律,为完善高技术产业创新绩效评价标准提供参考和借鉴,为制定精准的高技术产业发展政策提供理论支撑。本文以产业生命周期理论和高技术产业发展理论为基础,对高技术产业17个细分产业1995年-2015年进行产业成长阶段的划分,采用面板数据对高技术产业创新投入的滞后期和累积比率分别进行测算,进而分别检验高技术产业创新过程中的滞后效应和累积效应,运用超效率DEA模型分别对不考虑滞后和累积效应、考虑滞后效应、考虑累积效应时高技术产业创新绩效进行评价并分析阶段性差异。根据高技术产业创新过程中滞后效应和累积效应检验结果以及其创新绩效的阶段性差异结果为相关政策制定提供启示。主要结论有:(1)高技术产业创新过程中不同创新投入对创新产出的滞后效应不同。(2)高技术产业创新过程中存在累积效应,其创新投入的累积比率呈倒U型变化并在滞后期处达到最优值66.47%。(3)高技术产业创新绩效呈现出随产业成长阶段的演进而逐级提升的规律。(4)随着高技术产业成长阶段的演进不同细分产业之间的创新绩效差异性逐级放大。因此评价高技术产业创新绩效时应分产业考虑滞后、累积效应和产业阶段的影响,同时实施阶段性差异化和产业差异化的创新绩效评价标准和创新激励政策。更多还原

【Abstract】 As the growth point of China’s economic development,the development of high-tech industry(HTI)is of great significance for improving the labor productivity and international competitiveness of enterprises and accelerating economic transformation and upgrading.As the core driving force for the development of HTI,innovation is also the key to the implementation of Innovation-driven Development Strategy.The HTI innovation performance naturally becomes the focus of the academia and the government.Scientific evaluation of high-tech industry innovation performance is conducive to deepening and perfecting the theory of HTI development and innovation economic.How to improve the HTI innovation performance is conducive to accelerating the development of HTI and driving economic development,thus achieving transformation and upgrading of economic.This paper introduces the lagged effect and cumulative effect into the evaluation of HTI innovation performance.Based on the Industry Life Cycle Theory and branch industry data of China’s HTI,this paper compares and analyzes innovation performance of the same industry in different growth phase and different industries in the same growth phase,and then reveals the changing laws of HTI innovation performance.Thus,providing reference for improving the evaluation standards of HTI innovation performance,and theoretical support for precise HTI development policies.Based on the theories of Industrial Life Cycle and HTI Development,this paper judges the phase of 17 segments of HTI from 1995 to 2015,and uses the panel data to calculate the lag year and cumulative ratio separately,and then examining the lagged effect and cumulative effect in HTI innovation process.Super-efficiency DEA model is used to evaluate the HTI innovation performance among without considering the lagged and cumulative effects,considering the lagged effect,and considering the cumulative effect,then analyzing the phased difference in previous three situations separately.According to the HTI innovation performance results of the lagged effect and cumulative effect and their pashed difference,the paper finally provides inspiration for the relevant policies.The main conclusions are:(1)Different innovation input has different lag effect on innovation output in the HTI innovation process.(2)There is a cumulative effect in the HTI innovation process,and the cumulative ratio of its innovation input appears as “inverse U-shaped” and reaches an maximum value of 66.47% at the lag year.(3)The innovation performance of HTI shows a pattern of gradual increase along with the evolution of the industry.(4)The HTI innovation performance difference between different branch industries at the same phase increases gradually with the evolution of the industry.Therefore,when evaluating the HTI innovation performance,lagged effect and cumulative effect in different branch industry should be considered,as well as phased differences in different branch industry.At the same time,phased differentiation and industry differentiation innovation performance evaluation standards and incentive policies should be implemented.更多还原