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The Effect Of Technology Use On Productivity Growth

  • Robert Mcguckin
  • Mary Streitwieser
  • Mark Doms

This paper examines the relationship between the use of advanced technologies and productivity and productivity growth rates. We use data from the 1993 and 1988 Survey of Manufacturing Technology (SMT) to examine the use of advanced (computer based) technologies at two different points in time. We also are able to combine the survey data with the Longitudinal Research Database (LRD) to examine the relationships between plant performance, plant characteristics, and the use of advanced technologies. In addition, a subset of these plants were surveyed in both years, enabling us to directly associate changes in technology use with changes in plant productivity performance. The main findings of the study are as follows. First, diffusion is not the same across the surveyed technologies. Second, the adoption process is not smooth: plants added and dropped technologies over the six-year interval 1988-93. In fact, the average plant showed a gross change of roughly four technologies in achieving an average net increase of less than one new technology. In this regard, technology appears to be an experience good: plants experiment with particular technologies before deciding to add additional units or drop the technology entirely. We find that establishments that use advanced technologies exhibit higher productivity. This relationship is observed in both 1988 and 1993 even after accounting for other important factors associated with productivity: size, age, capital intensity, labor skill mix, and other controls for plant characteristics such as industry and region. In addition, the relationship between productivity and advanced technology use is observed both in the extent of technologies used and the intensity of their use. Finally, while there is some evidence that the use of advanced technologies is positively related to improved productivity performance, the data suggest that the dominant explanation for the observed cross-section relationship is that good performers are more likely to use advanced technologies than poorly performing operations.

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Article provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.

Volume (Year): 7 (1998)
Issue (Month): 1 ()
Pages: 1-26

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Handle: RePEc:taf:ecinnt:v:7:y:1998:i:1:p:1-26
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  1. Doms, Mark & Dunne, Timothy & Roberts, Mark J., 1995. "The role of technology use in the survival and growth of manufacturing plants," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 523-542, December.
  2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
  3. Dunne, Timothy & Schmitz, James A, Jr, 1995. "Wages, Employment Structure and Employer Size-Wage Premia: Their Relationship to Advanced-Technology Usage at US Manufacturing Establishments," Economica, London School of Economics and Political Science, vol. 62(245), pages 89-107, February.
  4. Sabourin, David & Baldwin, John R. & Diverty, Brent, 1995. "Technology Use and Industrial Transformation: Empirical Perspectives," Analytical Studies Branch Research Paper Series 1995075e, Statistics Canada, Analytical Studies Branch.
  5. Dunne, Timothy & Haltiwanger, John & Troske, Kenneth R., 1997. "Technology and jobs: secular changes and cyclical dynamics," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 46(1), pages 107-178, June.
  6. Robert H Mcguckin & George A Pascoe, 1988. "The Longitudinal Research Database (LRD): Status And Research Possibilities," Working Papers 88-2, Center for Economic Studies, U.S. Census Bureau.
  7. Griliches, Zvi, 1986. "Economic data issues," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 25, pages 1465-1514 Elsevier.
  8. Ronald S. Jarmin, 1994. "Learning by Doing and Competition in the Early Rayon Industry," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 441-454, Autumn.
  9. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-96, September.
  10. David N. Beede & Kan H. Young, 1996. "Patterns of Advanced Technology Adoption and Manufacturing Performance: Employment Growth, Labor Productivity, and Employee Earnings," Development and Comp Systems 9604001, EconWPA.
  11. Doms, Mark & Dunne, Timothy & Troske, Kenneth R, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 253-90, February.
  12. McGuckin, Robert H, 1995. "Establishment Microdata for Economic Research and Policy Analysis: Looking beyond the Aggregates," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 121-26, January.
  13. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
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