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Technology Adoption And The Skill Mix Of Us Manufacturing Plants

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  • Timothy Dunne
  • Kenneth Troske

Abstract

This paper examines the relationship between technology adoption and the skill mix of the workforce in US manufacturing plants. Using information on the use and adoption of seven different information technologies, we find that the relationship between technology adoption and workforce skill varies across the technologies. The use and adoption of engineering and design tasks are associated with workplaces that have a relatively large share of nonproduction labor. When we examine the relationship between technology adoption and skill upgrading of workforces, we find little correlation between the use and/or adoption of technologies and changes in workforce skill at the plant level. However, we do find that plants adopting technologies related to engineering and design tasks grow faster over the period 1987–1997.

Suggested Citation

  • Timothy Dunne & Kenneth Troske, 2005. "Technology Adoption And The Skill Mix Of Us Manufacturing Plants," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(3), pages 387-405, July.
    • Handle: RePEc:bla:scotjp:v:52:y:2005:i:3:p:387-405
    DOI: 10.1111/j.0036-9292.2005.00350.x
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    References listed on IDEAS

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    1. Ernst R. Berndt & Catherine J. Morrison & Larry S. Rosenblum, 1992. "High-Tech Capital Formation and Labor Composition in U.S. Manufacturing Industries: An Exploratory Analysis," NBER Working Papers 4010, National Bureau of Economic Research, Inc.
    2. Donald S. Siegel, 1999. "Skill-Biased Technological Change: Evidence from a Firm-Level Survey," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number sbtc.
    3. Steve J. Davis & John Haltiwanger, 1991. "Wage Dispersion Between and Within U.S. Manufacturing Plants, 1963-1986," NBER Working Papers 3722, National Bureau of Economic Research, Inc.
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    1. W. Craig Riddell & Xueda Song, 2017. "The Role of Education in Technology Use and Adoption: Evidence from the Canadian Workplace and Employee Survey," ILR Review, Cornell University, ILR School, vol. 70(5), pages 1219-1253, October.
    2. Dumont, Michel & Rayp, Glenn & Willemé, Peter, 2012. "The bargaining position of low-skilled and high-skilled workers in a globalising world," Labour Economics, Elsevier, vol. 19(3), pages 312-319.
    3. Natália Barbosa & Ana Faria, 2008. "Technology adoption: does labour skill matter? Evidence from Portuguese firm-level data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(2), pages 179-194, April.
    4. Gómez, Jaime & Vargas, Pilar, 2012. "Intangible resources and technology adoption in manufacturing firms," Research Policy, Elsevier, vol. 41(9), pages 1607-1619.
    5. Adriaan Zon & Roberto Antonietti, 2016. "Education and training in a model of endogenous growth with creative wear-and-tear," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(1), pages 35-62, April.
    6. Daniel Kuehn & Hal Salzman, 2018. "The Engineering Labor Market: An Overview of Recent Trends," NBER Chapters, in: US Engineering in a Global Economy, pages 11-46, National Bureau of Economic Research, Inc.
    7. Fibla Gasparín, Ma. Teresa, 2010. "Productivity in southern European small firms: When and how work organization complements process innovation," Working Papers 2072/179600, Universitat Rovira i Virgili, Department of Economics.
    8. Julie L. Hotchkiss & Myriam Quispe‐Agnoli & Fernando Rios‐Avila, 2015. "The wage impact of undocumented workers: Evidence from administrative data," Southern Economic Journal, John Wiley & Sons, vol. 81(4), pages 874-906, April.

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