The Effect Of Technology Use On Productivity Growth
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 are also 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.
|Date of creation:||Apr 1996|
|Date of revision:|
|Contact details of provider:|| Postal: 4600 Silver Hill Road, Washington, DC 20233|
Phone: (301) 763-6460
Fax: (301) 763-5935
Web page: http://www.census.gov/ces
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ron Jarmin, 1993.
"Learning By Doing And Competition In The Early Rayon Industry,"
93-4, Center for Economic Studies, U.S. Census Bureau.
- 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.
- 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.
- Timothy Dunne & John Haltiwanger & Kenneth R. Troske, 1996. "Technology and Jobs: Secular Changes and Cyclical Dynamics," NBER Working Papers 5656, National Bureau of Economic Research, Inc.
- Timothy Dunne & Kenneth R Troske & John Haltiwanger, 1996. "Technology and Jobs: Secular Changes and Cyclical Dynamics," Working Papers 96-7, Center for Economic Studies, U.S. Census Bureau.
- Zvi Griliches & Jacques Mairesse, 1995.
"Production Functions: The Search for Identification,"
Harvard Institute of Economic Research Working Papers
1719, Harvard - Institute of Economic Research.
- Z, Griliches & Jacques Mairesse, 1997. "Production Functions : The Search for Identification," Working Papers 97-30, Centre de Recherche en Economie et Statistique.
- Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
- 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.
- 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.
- 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.
- 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.
- 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.
- Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 253-290.
- 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.
- 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.
- Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
- 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.
When requesting a correction, please mention this item's handle: RePEc:cen:wpaper:96-2. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fariha Kamal)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.