科研管理

科研管理 ›› 2018, Vol. 39 ›› Issue (7): 1-8.

• 论文 •    下一篇

高技术产业创新速度与效益的互动机制研究

俞立平1,3,钟昌标 2,王作功 3   

  1. 1.浙江工商大学 管理工程与电子商务学院，浙江 杭州310018；
    2.云南财经大学 商学院，云南 昆明650221；
    3.贵州财经大学 金融学院，贵州 贵阳550025
  • 收稿日期:2016-03-07 修回日期:2017-06-07 出版日期:2018-07-20 发布日期:2018-11-06
  • 通讯作者: 俞立平
  • 基金资助:

    教育部人文社会科学研究规划基金项目：协同创新深度的影响机制与对策研究（17YJA630125）； 浙江省哲学社科规划课题：浙江省全面创新的评价体系与推进路径研究（17NDJC107YB）。

A research on the interactive mechanism of innovation speed and efficiency of high-tech industries

Yu Liping1,3, Zhong Changbiao2, Wang Zuogong3   

  1. 1. School of Management Engineering and Electronic Business, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China;
    2. Business School, Yunnan University of Finance and Economics, Kunming  650221, Yunnan, China;
    3. School of Finance, Guizhou University of Finance and Economics, Guiyang 550025, Guizhou, China
  • Received:2016-03-07 Revised:2017-06-07 Online:2018-07-20 Published:2018-11-06
  • Contact: Yu Li-Ping

摘要： 本文提出产业创新速度的概念，分析了高技术产业创新速度与效益的互动机制并进行了实证。采用面板数据分析创新速度对效益的作用大小及作用规律，采用面板向量自回归模型分析高技术产业创新速度与效益的互动关系。研究结果表明，高技术产业创新速度与效益之间呈现良性互动关系，创新速度每增加1％，会带来利润增加0114％，短期内提高企业创新速度是企业获取利润的最有效手段。高技术产业创新速度与利润之间呈现U型曲线，当创新速度中等时利润最低。劳动力的弹性系数大于资本和创新速度，我国高技术产业的运行质量有待提高。

关键词: 高技术产业, 创新速度, 效益, 面板向量自回归模型

Abstract: This paper puts forward the concept of high-tech industry innovation speed, analyzes the interactive mechanism of innovation speed and efficiency of high-tech industry and carries out an empirical study. Using the panel data, it analyzes the function size and regular pattern of innovation speed to efficiency. By using the panel vector auto regressive model, it analyzes the interactive relationship between innovation speed and efficiency of high-tech industry. The research results show that the interactive relationship between innovation speed and efficiency of high-tech industry is positive. The speed of innovation increases by 1%, and the efficiency increases by 0.114%. In the short term, it is the most effective method to improve the enterprise's innovation speed. A U-curve appears between innovation speed and efficiency of high-tech industry. When the innovation speed is medium, the efficiency is the lowest. The elasticity coefficient of labor is greater than that of capital and innovation speed. The operation quality of high-tech industry in China needs to be improved.

Key words: high-tech industry, innovation speed, efficiency, panel vector auto regressive model