科研管理 ›› 2012, Vol. 33 ›› Issue (2): 79-87.

• 论文 • 上一篇    下一篇

基于投入产出法的制造业间R&D溢出效应测算及比较

孙晓华, 郑辉   

  1. 大连理工大学 经济学院,辽宁 大连 116024
  • 收稿日期:2010-12-26 修回日期:2011-07-12 出版日期:2012-02-27 发布日期:2012-02-28
  • 作者简介:孙晓华(1978-),男,辽宁抚顺人,大连理工大学经济学院副教授,博士,硕士生导师,从事产业经济学、创新经济学与演化经济学方面的研究。
    郑 辉(1986-),女,辽宁沈阳人,大连理工大学经济学院研究生,研究方向为产业经济学。
  • 基金资助:

    国家自然科学基金资助项目:演化视角下重大装备制造业自主创新的路径、机制与政策:理论和案例研究(70803006);国家社会科学基金资助项目:技术创新与产业演化:理论及实证(10FJL011);教育部人文社科资助项目:业主风险厌恶约束下重大装备制造业自主创新路径与规制政策研究(07JC790043);中央高校基本科研业务费专项资金资助:城市化与产业结构调整的互动机理:基于演化经济学的新视角(DUT10RW312)。

Measuring and comparing inter-industry R&D spillover inmanufacturing based on input-output analysis

Sun Xiaohua, Zheng Hui   

  1. Department of Economics, Dalian University of Technology, Dalian 116024, China
  • Received:2010-12-26 Revised:2011-07-12 Online:2012-02-27 Published:2012-02-28

摘要: 通过产业间R&D溢出效应测算方法的比较,选择投入产出法对产业研发活动的总受益者效应、总贡献者效应和产业间溢出效应加以度量,利用2002年、2005年、2007年的投入产出系数和R&D经费支出统计数据测算了我国制造业间的R&D溢出效应,并对测算结果进行了比较分析,结果表明:从横向对比看,轻纺制造业和资源加工业的产业间受益者效应较为明显,机械电子业对其他产业贡献较大;在时序特征上,各制造业间的溢出效应在不断发生变化,但具有一定稳定性。上述结论有望为政府优化科研经费投向,动态调整科研经费投入结构提供理论依据。

关键词: 投入产出法, R&D溢出, 制造业, 受益者效应, 贡献者效应

Abstract: By the comparison of different methods, Input-Output(I-O) analysis is selected to measure the effects of R&D activities, including total beneficiary effect, total contributor effect, and inter-industry effect of R&D spillover. The effect of inter-industry R&D spillover in manufacturing of China is calculated based on the data of input-output coefficients and R&D expenditures in the years of 2002, 2005, and 2007. And then, the result shows that horizontally, the beneficiary effects of light textile manufacturing and resources processing industry are obvious, while the contributor effect of mechanical electron industry is great; vertically, the effect of inter-industry R&D spillover changes constantly, however it has the certain stability. The conclusions provide the theory basis for the government to optimize the orientation of R&D investments and adjust the structure of R&D investments dynamically.

Key words: I-O analysis, R&D spillover, manufacturing, beneficiary effect, contributor effect

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