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Technology and Capital Adjustment Costs: Micro evidence of automobile electronics in the auto-parts suppliers

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  • UCHIDA Ichihiro
  • TAKEDA Yosuke
  • SHIRAI Daichi

Abstract

In order to make quantitative evaluations on the nature of capital adjustment costs, in the face of technological changes, we estimate capital adjustment cost functions, either convex, non-convex, or irreversible (Cooper and Haltiwanger, 2006). A simulated method of moments is applied to the Bellman equations at an establishment level of the Japanese auto parts suppliers (Census of Manufactures), where experiencing a technological change of automobile electronics, an application of general purpose technology (David, 1990; Jovanovic and Rousseau, 2005). Identifying when and where auto-electronics technologies have been embodied in the auto parts suppliers, we use patent acquisition data and plants' products items: electronically-controlled fuel injection; electric power steering; anti-lock brakes; airbags; navigation; wire harnesses; and lithium-ion batteries. For the overall auto parts suppliers, there are no adjustment costs in any form, neither convex, non-convex, nor irreversible. As for the sectoral plants with the automobile electronics embodied in the tangible capitals, we clearly detect a significant existence of the convex adjustment costs. Anomalously, auto-electronics also makes investment decisions reversible. Moreover, the fixed costs of plant restructuring, worker retraining, or organizational restructuring emerge, especially in a form of costs proportional to plant size rather than the opportunity cost of investment. The nature of adjustment costs implies economic policy measures to compensate for the output losses from the capital adjustment costs in the face of general purpose technologies.

Suggested Citation

  • UCHIDA Ichihiro & TAKEDA Yosuke & SHIRAI Daichi, 2012. "Technology and Capital Adjustment Costs: Micro evidence of automobile electronics in the auto-parts suppliers," Discussion papers 12001, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:12001
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    References listed on IDEAS

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    1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    2. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    3. Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
    4. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    5. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-641, June.
    6. Russell W. Cooper & John C. Haltiwanger, 2006. "On the Nature of Capital Adjustment Costs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 611-633.
    7. Jovanovic, Boyan & Rousseau, Peter L., 2005. "General Purpose Technologies," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 18, pages 1181-1224, Elsevier.
    8. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    9. Janice Eberly & Sergio Rebelo & Nicolas Vincent, 2008. "Investment and Value: A Neoclassical Benchmark," Cahiers de recherche 08-03, HEC Montréal, Institut d'économie appliquée.
    10. Uzawa, H, 1969. "Time Preference and the Penrose Effect in a Two-Class Model of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 77(4), pages 628-652, Part II, .
    11. Tauchen, George & Hussey, Robert, 1991. "Quadrature-Based Methods for Obtaining Approximate Solutions to Nonlinear Asset Pricing Models," Econometrica, Econometric Society, vol. 59(2), pages 371-396, March.
    12. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    13. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    14. Russell Cooper & Joao Ejarque, 2003. "Financial Frictions and Investment: Requiem in Q," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 710-728, October.
    15. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    16. Andreas Hornstein & Per Krusell, 1996. "Can Technology Improvements Cause Productivity Slowdowns?," NBER Chapters, in: NBER Macroeconomics Annual 1996, Volume 11, pages 209-276, National Bureau of Economic Research, Inc.
    17. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
    18. 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.
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