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An R&D-based model of multi-sector growth

By L. Rachel Ngai and Roberto M. Samaniego


We develop a multi-sector general equilibrium model in which productivity growth is driven by the production of sector-specific knowledge. In the model, we find that long run differences in total factor productivity growth across sectors are independent of the parameters of the knowledge production function except for one, which we term the fertility of knowledge. Differences in R&D intensity are also independent of most other parameters. The fertility of knowledge in the capital sector is central to the growth properties of the model economy

Topics: HB Economic Theory
Publisher: Centre for Economic Performance, London School of Economics and Political Science
Year: 2006
OAI identifier:
Provided by: LSE Research Online

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  12. (1993). In search of useful theory of innovation." (sic) Research Policy, doi
  13. (1996). Industry innovation: where and why A comment," doi
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  16. (1988). Interindustry R&D Spillovers, Rates of Return and Production in High-Tech Industries." doi
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  20. (2000). Measuring the "Ideas" Production Function: Evidence from International Patent Output." doi
  21. (1990). Patent Statistics as Economic Indicators: A Survey" doi
  22. (1997). Patenting, and Technological Change." doi
  23. (1995). R&D-Based Models of Economic Growth." doi
  24. (2006). Relating the Knowledge Production Function to Total Factor Productivity." doi
  25. (1989). Research and Development and Intraindustry Spillovers: An empirical Application of Dynamic Duality." doi
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  28. (1969). The direction of technological change: Inducement mechanisms and focusing devices." doi
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