IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2004-30.html
   My bibliography  Save this paper

Technology, capital spending, and capacity utilization

Author

Listed:
  • Cynthia Bansak
  • Norman J. Morin
  • Martha Starr-McCluer

Abstract

This paper examines the relationships between technology, capital spending, and capacity utilization. Recent technological changes have increased the flexibility of relationships between inputs and outputs in manufacturing, which may have eroded the predictive value of the utilization rate. This paper considers how technology might be expected to affect utilization. We show that recent changes could either lower average utilization by making it cheaper to hold excess capacity, or raise utilization by making further changes in capacity less costly and time-consuming. We then examine the effects of technology on utilization, using data on 111 manufacturing industries from 1974 to 2000. The results suggest that, for the average industry, the technological change of that period had a modest but appreciable effect, shaving between 0.2 percentage point and 2.3 percentage points off the utilization rate.

Suggested Citation

  • Cynthia Bansak & Norman J. Morin & Martha Starr-McCluer, 2004. "Technology, capital spending, and capacity utilization," Finance and Economics Discussion Series 2004-30, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2004-30
    as

    Download full text from publisher

    File URL: http://www.federalreserve.gov/pubs/feds/2004/200430/200430abs.html
    Download Restriction: no

    File URL: http://www.federalreserve.gov/pubs/feds/2004/200430/200430pap.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Valerie A. Ramey & Matthew D. Shapiro, 2001. "Displaced Capital: A Study of Aerospace Plant Closings," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 958-992, October.
    2. Sakellaris, Plutarchos, 2004. "Patterns of plant adjustment," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 425-450, March.
    3. Berndt, Ernst R. & Morrison, Catherine J., 1995. "High-tech capital formation and economic performance in U.S. manufacturing industries An exploratory analysis," Journal of Econometrics, Elsevier, vol. 65(1), pages 9-43, January.
    4. Paul Nightingale & Tim Brady & Andrew Davies & Jeremy Hall, 2003. "Capacity utilization revisited: software, control and the growth of large technical systems," Industrial and Corporate Change, Oxford University Press, vol. 12(3), pages 477-517, June.
    5. John Haltiwanger & Russell Cooper & Laura Power, 1999. "Machine Replacement and the Business Cycle: Lumps and Bumps," American Economic Review, American Economic Association, vol. 89(4), pages 921-946, September.
    6. Stephen G. Cecchetti, 1995. "Inflation Indicators and Inflation Policy," NBER Chapters,in: NBER Macroeconomics Annual 1995, Volume 10, pages 189-236 National Bureau of Economic Research, Inc.
    7. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1996. "Endogenous capital utilization and productivity measurement in dynamic factor demand models Theory and an application to the U.S. electrical machinery industry," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 343-379.
    8. Flint Brayton & John M. Roberts & John C. Williams, 1999. "What's happened to the Phillips curve?," Finance and Economics Discussion Series 1999-49, Board of Governors of the Federal Reserve System (U.S.).
    9. Karl Whelan, 2000. "A guide to the use of chain aggregated NIPA data," Finance and Economics Discussion Series 2000-35, Board of Governors of the Federal Reserve System (U.S.).
    10. Robert J. Gordon, 1998. "Foundations of the Goldilocks Economy: Supply Shocks and the Time-Varying NAIRU," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 297-346.
    11. Johannes van Biesebroeck, 2003. "Productivity Dynamics with Technology Choice: An Application to Automobile Assembly," Review of Economic Studies, Oxford University Press, vol. 70(1), pages 167-198.
    12. Carol Corrado & Joe Mattey, 1997. "Capacity Utilization," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 151-167, Winter.
    13. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    14. Matthew D. Shapiro, 1989. "Assessing the Federal Reserve's Measures of Capacity and Utilization," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 181-242.
    15. Thomas N. Hubbard, 2003. "Information, Decisions, and Productivity: On-Board Computers and Capacity Utilization in Trucking," American Economic Review, American Economic Association, vol. 93(4), pages 1328-1353, September.
    16. Niek Nahuis, 2003. "An alternative demand indicator: the 'non-accelerating inflation rate of capacity utilization'," Applied Economics, Taylor & Francis Journals, vol. 35(11), pages 1339-1344.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    18. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    19. repec:bin:bpeajo:v:26:y:1995:i:1995-3:p:1-65 is not listed on IDEAS
    20. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    21. Anderson, T. W. & Hsiao, Cheng., 1980. "Estimation of Dynamic Models with Error Components," Working Papers 336, California Institute of Technology, Division of the Humanities and Social Sciences.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Renata Grzeda Latocha & Gernot Nerb, 2004. "Modelling Short-term Interest Rates in the Euro Area Using Business Survey Data," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(1), pages 43-69.
    2. Belaid RETTAB & Ton KWAAK & Azzeddine AZZAM, 2010. "An Optimization Procedure for Estimating the Stock of Capital: Application to Ten Production Sectors of Dubai," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 10(1).
    3. William Robert Reed, 2015. "On the Practice of Lagging Variables to Avoid Simultaneity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 897-905, December.
    4. repec:eee:riibaf:v:42:y:2017:i:c:p:745-768 is not listed on IDEAS
    5. W. Robert Reed, 2013. "A Note on the Practice of Lagging Variables to Avoid Simultaneity," Working Papers in Economics 13/32, University of Canterbury, Department of Economics and Finance.
    6. Petrit Gashi & Iraj Hashi & Geoff Pugh, 2014. "Export behaviour of SMEs in transition countries," Small Business Economics, Springer, vol. 42(2), pages 407-435, February.

    More about this item

    Keywords

    Industrial capacity ; Technology;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgfe:2004-30. 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: (Franz Osorio). General contact details of provider: http://edirc.repec.org/data/frbgvus.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.