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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 被引量:58

R&D investment and total factor productivity:The PSM analysisbased on industrial firm- level data of China
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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。 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.
作者 孙晓华 王昀
出处 《科研管理》 CSSCI 北大核心 2014年第11期92-99,共8页 Science Research Management
基金 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
关键词 R&D投资 生产率 倾向得分匹配 R&D investment total factor productivity PSM
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