科研管理 ›› 2016, Vol. 37 ›› Issue (2): 29-36.

• 论文 • 上一篇    下一篇

我国纺织业企业创新与生产率关系的微观测度

甄峰   

  1. 中国人民大学应用统计科学研究中心、统计学院
  • 收稿日期:2014-06-11 修回日期:2015-10-15 出版日期:2016-02-20 发布日期:2016-02-16
  • 通讯作者: 甄峰
  • 基金资助:

    国家社会科学基金年度项目(15BTJ013),2015-2018;北京高等学校青年英才计划项目(YETP0226),2013-2016;中欧社会科学合作研究项目(COREACH-64-094),2009-2014。

Micro Evidence of Innovation on Productivity in Textile Industry of China

  • Received:2014-06-11 Revised:2015-10-15 Online:2016-02-20 Published:2016-02-16

摘要: 本文利用我国纺织业规模以上工业企业数据,应用扩展的Cobb-Douglas生产函数和渐进引入变量的系统比较方法,测度不同企业群下自主研发、引进吸收、员工培训等创新行为对劳动生产率的影响。结果表明不同创新行为均能够提升生产率,多种创新行为协同作用有更为明显的效果;自主研发在中等规模企业、私营企业和港澳台投资企业有更强的作用力,在外资企业中影响力不显著。引进吸收在国有企业和外资企业中有更强的影响力。山东比江苏、浙江等纺织业强省的创新影响力更强。

关键词: 创新, 生产率, 企业群, 渐进比较

Abstract: Using the textile firm data from the census of National Bureau of Statistics, this paper observes the effect of three innovation factors to productivity at industrial level in an extended Cobb-Douglas production function and a stepwise comparison design. The three factors are independent research and development, technology introduction, and labor training. Each of them is significant at industrial level and more powerful infuence is produced while three factors are involoved together. Independent research and development has stronger influence in middle firms, private and HMT firms, but not powerful in foreign firms. Technology introduction has a stronger influence on state-owned firms and foreign firms. For developed area of textile industry, innovation has a stronger effect in Shandong than in Jiangsu and Zhejiang.