Regional Innovative Capacity with Endogenous Employment: Empirical Evidence from the U.S
AbstractUsing the endogenous growth model proposed by Romer (1990) and operationalized by Stern, Porter, and Furman (2000), we seek to identify factors that affect innovative capacity in the U.S. We find strong evidence of endogeneity between employment growth and innovative capacity. In response, we estimate a generalized two-stage random effects model of hi-tech employment and patenting activity. We find that the stock of knowledge (standing on shoulders effect), industry R&D expenditures, and the number of high-tech employees explain the rate of change of innovation among the states during the 1990s. The stock of human capital also influences the innovation rate. Our findings suggest that patenting activity and wages in the high-tech sector are the primary forces influencing the demand for high-tech labor.
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Bibliographic InfoArticle provided by Southern Regional Science Association in its journal Review of Regional Studies.
Volume (Year): 33 (2003)
Issue (Month): 1 ()
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Find related papers by JEL classification:
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- O34 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
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