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Technology, capital spending, and capacity utilization

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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.

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  • 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
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    1. 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.
    2. 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.).
    3. Ruth A. Judson & Ann L. Owen, "undated". "Estimating Dynamic Panel Data Models: A Practical Guide for Macroeconomists," Finance and Economics Discussion Series 1997-03, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
    4. Carol Corrado & Joe Mattey, 1997. "Capacity Utilization," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 151-167, Winter.
    5. 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.
    6. 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.
    7. Sakellaris, Plutarchos, 2004. "Patterns of plant adjustment," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 425-450, March.
    8. Karl Whelan, 2000. "A guide to the use of chain aggregated NIPA data," Open Access publications 10197/253, School of Economics, University College Dublin.
    9. 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.
    10. 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.
    11. Casey Ichniowski & Kathryn Shaw, 1995. "Old Dogs and New Tricks: Determinants of the Adoption of Productivity-Enhancing Work Practices," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 1-65.
    12. 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.
    13. 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.
    14. 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 and the Associazione ICC, vol. 12(3), pages 477-517, June.
    15. 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.
    16. 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.
    17. Johannes van Biesebroeck, 2003. "Productivity Dynamics with Technology Choice: An Application to Automobile Assembly," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 167-198.
    18. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    19. Johannes Van Biesebroeck, 2000. "Measuring Productivity Dynamics with Endogenous Choice of Technology and Capacity Utilization: An Application to Automobile Assembly," Working Papers 00-16, Center for Economic Studies, U.S. Census Bureau.
    20. 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.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    22. 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.
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    3. Michalis Nikiforos, 2020. "Notes on the Accumulation and Utilization of Capital: Some Empirical Issues," Economics Working Paper Archive wp_953, Levy Economics Institute.
    4. 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).
    5. Gahn, Santiago José, 2021. "On the adjustment of capacity utilisation to aggregate demand: Revisiting an old Sraffian critique to the Neo-Kaleckian model," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 325-360.
    6. Arto Kovanen, 2019. "Perspectives From the Past for the Federal Reserve¡¯s Monetary Policy and Communication," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 10(1), pages 31-51, January.
    7. 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.
    8. Santiago J. Gahn, 2022. "Towards an explanation of a declining trend in capacity utilisation in the US economy," Working Papers PKWP2214, Post Keynesian Economics Society (PKES).
    9. Ghulam, Yaseen, 2017. "Long-run performance of an industry after broader reforms including privatization," Research in International Business and Finance, Elsevier, vol. 42(C), pages 745-768.
    10. Dawei (David) Zhang & Barrie R. Nault & Xueqi (David) Wei, 2019. "The Strategic Value of Information Technology in Setting Productive Capacity," Information Systems Research, INFORMS, vol. 30(4), pages 1124-1144, December.
    11. Wang, Zhan-ao & Zheng, Chengsi, 2022. "Is technological innovation the cure for overcapacity? Exploring mediating and moderating mechanisms," Journal of Business Research, Elsevier, vol. 147(C), pages 348-361.
    12. Jun Liu & Yu Qian & Huihong Chang & Jeffrey Yi-Lin Forrest, 2022. "The Impact of Technology Innovation on Enterprise Capacity Utilization—Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    13. Santiago J. Gahn, 2020. "Is there a decreasing trend in capacity utilisation in the US economy? Some new evidence," Working Papers PKWP2006, Post Keynesian Economics Society (PKES).
    14. Lu, Juan & Li, He, 2022. "Can high-speed rail improve enterprise capacity utilization? A perspective of supply side and demand side," Transport Policy, Elsevier, vol. 115(C), pages 152-163.
    15. Pejman Bahramian & Andisheh Saliminezhad, 2021. "Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1103-1125, December.
    16. 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.
    17. Arto Kovanen, 2019. "Wage Growth Puzzle and Capacity Utilization," Applied Economics and Finance, Redfame publishing, vol. 6(2), pages 15-31, March.
    18. Wang, Delu & Wang, Yadong & Jiang, Wuding & Shi, Xunpeng, 2023. "Has outward foreign direct investment alleviated industrial overcapacity in China? An empirical test of the upstream and downstream industrial links," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 250-263.
    19. 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.
    20. Miao Wang & Hong Zhuang, 2021. "FDI and educational outcomes in developing countries," Empirical Economics, Springer, vol. 61(6), pages 3505-3539, December.

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    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

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