Measuring the Returns of R&D
Measuring the Returns of R&D
复制标题
衡量 R 的回报
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
G. Lang
中科院分区：
文献类型：
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作者：
G. Lang
基于近年来劳动生产率显著增长的统计数据，本文试图分析国内研发、知识储备和生产率动态之间的关系。本文使用德国制造业的时间序列数据来估计一个可变成本函数，其中知识存量依赖于当前和过去的研发支出。研究表明，研发对知识存量的影响有50%出现在4年内。然而，研发回报率却呈现出急剧下降的趋势；据估计，最近的研发回报率已经达到了过去45年来的最低水平。目前的研发产出仅为60年代的三分之一。总之，尽管70年代的生产率放缓似乎已经克服，但这并不归因于研发投资。JEL分类D24：微观经济学：生产与组织L60：产业组织：产业研究制造业O31：经济发展、技术变革与增长：技术变革
Motivated by recent statistics that show significant growth in labor productivity, this paper seeks to analyze the relationship between domestic R&D, knowledge stock and productivity dynamics. Time series data of the German manufacturing industry is used to estimate a variable cost function with the stock of knowledge being dependent upon current and past R&D spending. The estimates indicate that 50% of the effects of R&D on the knowledge stock appear within four years. However, the rate of return on R&D are shown to be drastically declining; recent rates of return on R&D are estimated to have reached an all-time low spanning the last 45 years. Current yields of R&D are only one third compared to the sixties. In conclusion, though the productivity slowdown of the seventies seems to have been overcome, this is not attributed to R&D investments. JEL classification D24: Microeconomics: Production and Organizations L60: Industrial Organization: Industry Studies Manufacturing O31: Economic Development, Technological Change, and Growth: Technological Change