R&D投资与企业生产率 —基于中国工业企业微观数据的PSM分析

科研管理 ›› 2014, Vol. 35 ›› Issue (11): 92-99.

R&D投资与企业生产率 —基于中国工业企业微观数据的PSM分析

孙晓华, 王昀

大连理工大学经济学院, 辽宁大连 116024

收稿日期:2013-04-28 修回日期:2014-02-20 出版日期:2014-11-25 发布日期:2014-11-21
作者简介:孙晓华(1978－),男(汉),辽宁抚顺人,大连理工大学经济学院副教授,博士生导师,研究方向:产业经济学、演化经济学与创新经济学。
王昀(1988-),女(汉),辽宁辽阳人,大连理工大学经济学院博士研究生,研究方向:产业经济学。
基金资助:
国家软科学研究计划项目:产业共生视角下整机带动零部件技术升级的机制与政策研究(2013GXS4D108),2013.9-2015.12;辽宁省教育厅一般研究项目:战略性新兴产业演化模型:技术、需求与制度协同的视角(L2013039),2013.8-2016.12。

R&D investment and total factor productivity: The PSM analysisbased on industrial firm-level data of China

Sun Xiaohua, Wang Yun

Department of Economics, Dalian University of Technology, Dalian 116024, Liaoning, China

Received:2013-04-28 Revised:2014-02-20 Online:2014-11-25 Published:2014-11-21

摘要/Abstract

摘要： 将有研发和无研发企业分别作为处理组和控制组,利用倾向得分匹配法(PSM)考察了R&D行为对企业生产率的影响,发现有研发企业的生产率水平比与之相匹配的无研发企业高出21.5%,说明R&D活动能够显著提升全要素生产率。进而,以连续有研发投入的企业为样本检验了R&D强度与生产率的关系,得到研发强度以0.488%为临界值与企业生产率呈正U型关系的结论,约99%的工业企业没有达到门槛值的现实说明,应进一步增加R&D投入强度,改善研发投资效率,加大基础研究的比重,发挥R&D投资的创新效应,以促进企业生产率的提升。

关键词: R&D投资, 生产率, 倾向得分匹配

Abstract: The industrial firms are divided into the control group with R&D investment and the treatment group without R&D investment, and the propensity score method (PSM) is used to test the effect of R&D activities on productivity. The results show that the productivity of firms with R&D is 21.5% higher than those without R&D, reflecting that R&D can increase the total factor productivity. Then, the sample of industrial firms with R&D inputs in succession is used to test the relationship between R&D intensity and productivity. The conclusion is drawn that there is a U-shape relation between R&D intensity and productivity with a critical value of 0.488%. About 99% industrial firms' R&D investment is below the threshold value impeding the increasing of productivity. It indicates that the firms should increase R&D investment, improve the R&D efficiency, enhance the proportion of basic research, and develop the innovation effect of R&D investment, so as to increase the productivity.

Key words: R&D investment, total factor productivity, PSM

中图分类号:

F423.1

孙晓华, 王昀. R&D投资与企业生产率 —基于中国工业企业微观数据的PSM分析[J]. 科研管理, 2014, 35(11): 92-99.

Sun Xiaohua, Wang Yun. R&D investment and total factor productivity: The PSM analysisbased on industrial firm-level data of China[J]. Science Research Management, 2014, 35(11): 92-99.

参考文献

[1] Zvi Griliches. Research expenditures, education and the aggregate agricultural production function[J]. The American Economic Review,1964, 54(6):961-974. [2] Edwin Mansfield. Rates of return from industrial research and development[J]. The American Economic Review,1965, 55(1):310-322. [3] 王玲,Adam Szirmai. 高技术产业技术投入和生产率增长之间关系的研究[J]. 经济学季刊,2008,7(3):913-932. [4] 吴延兵. R&D与生产率—基于中国制造业的实证研究[J]. 经济研究,2006(11):60-70. [5] 曹泽,李东,朱达荣. 中国区域全要素生产率增长的R&D贡献分析[J]. 系统工程, 2011,29(1):57-62. [6] 吴延兵. 自主研发、技术引进与生产率--基于中国地区工业的实证研究[J]. 经济研究,2008(8):51-63. [7] 李宾. 国内研发阻碍了我国全要素生产率的提高吗?[J]. 科学学研究,2010,28(7):1035-1042. [8] 李小平,朱钟棣. 国际贸易、R&D溢出和生产率增长[J]. 经济研究,2006(2):31-43. [9] 张海洋. R&D两面性、外资活动与中国工业生产率增长[J]. 经济研究,2005(5):107-117. [10] 戴觅,余淼杰. 企业出口前研发投入、出口及生产率进步—来自中国制造业企业的证据[J].经济学(季刊),2011,11(1):211-230. [11] 谢千里,罗斯基,张轶凡. 中国工业生产率的增长与收敛[J]. 经济学(季刊),2008,7(3):809-826. [12] Rosenbaum P R,Rubin D B. The central role of the propensity score in observational studies for causal Effects[J]. Biometrika,1983, 70(1): 41-55. [13] Rosenbaum P R, Rubin D B. Constructing a control group using a multivariate matched sampling method that incorporates the propensity score[J]. American Statistician,1985, 39:33-38. [14] Cohen W., D. Levinthal. Innovation and learning: The two faces of R&D[J]. Economic Journal,1989, 99(397): 569-596. [15] 白洁. R&D两面性、国际研发资本溢出与中国全要素生产率变动[J]. 中国软科学,2010(2):6-10.