R&D, Patents and Productivity


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"An essential reference for specialists in the economics of technological change."--D. G. McFertridge, Canadian Journal of Economics




R&D and Productivity


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Zvi Griliches, a world-renowned pioneer in the field of productivity growth, has compiled in a single volume his pathbreaking research on R&D and productivity. Griliches addresses the relationship between research and development (R&D) and productivity, one of the most complex yet vital issues in today's business world. Using econometric techniques, he establishes this connection and measures its magnitude for firm-, industry-, and economy-level data. Griliches began his studies of productivity growth during the 1950s, adding a variable of "knowledge stock" to traditional production function models, and his work has served as the point of departure for much of the research into R&D and productivity. This collection of essays documents both Griliches's distinguished career as well as the history of this line of thought. As inputs into production increasingly taking the form of "intellectual capital" and new technologies that are not as easily measured as traditional labor and capital, the methods Griliches has refined and applied to R&D become crucial to understanding today's economy.




Science Indicators


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Productivity Growth and R & D at the Business Level


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This paper presents the results of a study of productivity growth and R&D in the 1970s using data on narrowly defined 'business units within a firm. Estimates are developed under different assumptions about technology ,industry effects, and changes in the return to R&D over time. The R&D data are broken down into process and product expenditures, and some information is available on past success in developing proprietary technology, andontheincidenceofma3or changes in technology in the recent past. The results suggest a significant relationship between R&D and the growth of productivity; in versions using total factor productivity as the dependent variable, the estimated rate of return to R&D investment is about 20 percent. We find some evidence that R&D has its biggest effect on productivity in those markets where major changes in technology have occurred in the recent past. Previous success in developing proprietary process technology affects total factor productivity directly, but appears to have little effect on estimated returns to R&D. The notion that the productivity of R&D declined in the l970sfinds Little support in this data. Irrespective of model specification, trends in the R&D coefficient are substantively arid statistically insignificant. Our calculations suggest that reduced investment in R&D may have accounted for at least 10 percent of the decline in total factor productivity growth in the l970s.










Innovation, Reallocation, and Growth


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We build a model of firm-level innovation, productivity growth and reallocation featuring endogenous entry and exit. A new and central economic force is the selection between highand low-type firms, which differ in terms of their innovative capacity. We estimate the parameters of the model using US Census micro data on firm-level output, R&D and patenting. The model provides a good fit to the dynamics of firm entry and exit, output and R&D. Taxing the continued operation of incumbents can lead to sizable gains (of the order of 1.4% improvement in welfare) by encouraging exit of less productive firms and freeing up skilled labor to be used for R&D by high-type incumbents. Subsidies to the R&D of incumbents do not achieve this objective because they encourage the survival and expansion of low-type firms.




Activity Report to the Congress


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