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Accounting for research and productivity growth across industries

By L. Rachel Ngai and Roberto M. Samaniego

Abstract

What factors underlie industry differences in research intensity and productivity growth? We develop a multi-sector endogenous growth model allowing for industry specific parameters in the production functions for output and knowledge, and in consumer preferences. We find that long run industry differences in both productivity growth and R&D intensity mainly reflect differences in "technological opportunities", interpreted as the parameters of knowledge production. These include the capital intensity of R&D, knowledge spillovers, and diminishing returns to R&D. To investigate the quantitative importance of these factors, we calibrate the model using US industry data. We find that the observed variation in the capital intensity of research cannot account for industry differences in productivity growth rates, and that variation in intertemporal knowledge spillovers has counterfactual predictions for R&D intensity when it is an important factor behind differences in productivity growth rates. This suggests that diminishing returns to research activity is the dominant factor

Topics: HD Industries. Land use. Labor
Publisher: Centre for Economic Performance, London School of Economics and Political Science
Year: 2009
OAI identifier: oai:eprints.lse.ac.uk:25496
Provided by: LSE Research Online
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    Citations

    1. (2009). A Multi-industry Model of Growth with Financing Constraints. International Monetary Fund Working Paper doi
    2. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. doi
    3. (1989). Empirical studies of innovation and market structure. In doi
    4. (1990). Endogenous Technological Change. doi
    5. (1997). Factors behind cross-industry differences in technical progress. doi
    6. (1987). Firm Size and R&D Intensity: A Re-Examination. doi
    7. (1998). Growth without Scale Effects. doi
    8. (1999). Growth: With or Without Scale Effects? doi
    9. (1977). In search of Useful Theory of Innovation. doi
    10. (2002). Induced Innovation and Energy Prices. doi
    11. (1996). Industry Innovation: Where and Why? doi
    12. (2007). Industry Origins of the American Productivity Resurgence," doi
    13. (2006). Information and Communication Technologies in a Multi-Sector Endogenous Growth Model. Mimeo: London School of Economics doi
    14. (1966). Invention and Economic Growth. doi
    15. (2002). Knowledge Spillovers and Patent Citations: Evidence from a Survey of doi
    16. (1996). Mark-Up Ratios in Manufacturing Industries: Estimates for 14 OECD Countries," OECD Economics Department Working Papers 162, OECD Economics Department. doi
    17. (2004). Market Size in Innovation: Theory and Evidence from the Pharmaceutical Industry. doi
    18. (1970). Market Structure, Elasticity of Demand and Incentive to Invent. doi
    19. (2002). Markets for technology: the economics of innovation and corporate strategy. doi
    20. (1988). Modelling the connections in the Cross Section between Technical Progress and R&D Intensity. Rand Journalo fE c o n o m i c doi
    21. (1995). On the sources and significance of interindustry differences in technological opportunities. doi
    22. (2007). R&D and Growth: the Missing Link? doi
    23. (1985). R&D Appropriability, Opportunity, and Market Structure: New Evidence on Some Schumpeterian Hypotheses.
    24. (1995). R&D-Based Models of Economic Growth. doi
    25. (2008). Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? doi
    26. (1993). Review, Papers and doi
    27. (2007). Structural Change in a Multisector Model of Growth. doi
    28. (2008). Technology and Finance. International Monetary Fund Working Paper doi
    29. (1969). The direction of technological change: Inducement mechanisms and focusing devices. doi
    30. (1999). The Induced Innovation Hypothesis and Energy-Saving Technological Change. doi
    31. (2001). The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools. doi
    32. (2008). Using Patent Data to Measure Private Knowledge Spillovers in A General Equilibrium Model. Mimeo:
    33. (1980). What do R&D numbers tell us about Technological Change?

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