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Capital Utilisation and Retirement

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  • Bonleu, A.
  • Cette, G.
  • Horny, G.

Abstract

This empirical analysis aims at assessing the effect of the economic climate and the intensity of capital utilisation on companies’ capital retirement behaviour. It is conducted using individual company data, as well as original data on the degree of utilisation of production factors. The sample includes 6,998 observations over the period 1996-2008. This database is, to our knowledge, unique for the empirical analysis of the intensity of capital utilisation on firms’ capital retirement behaviour. We adjust for endogeneity biases by means of instrumental variables. The main results obtained from the estimation of capital retirement models may be summarised as follows: i) The retirement rate decreases with the variations in cyclical pressures measured by the changes in output and the workweek of capital; this relation corresponds to a countercyclical decelerator effect on capital retirement; ii) The capital retirement rate increases with the structural intensity of capital utilisation; this effect, which corresponds to a wear and tear one, is nevertheless small compared to the decelerator one; iii) The profit rate does not have a significant impact on the retirement rate. Compared with the existing literature, here mainly Mairesse and Dormont (1985), the contribution of these results is to show, through the use of unique survey data, that the effect of the intensity of capital utilisation on capital retirement is structurally positive, via a wear and tear effect, and cyclically negative, via a decelerator effect which completes that already taken into account via the effect of changes in value added.

Suggested Citation

  • Bonleu, A. & Cette, G. & Horny, G., 2011. "Capital Utilisation and Retirement," Working papers 343, Banque de France.
    • Handle: RePEc:bfr:banfra:343
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    1. Bitros, George C. & Hritonenko, Natali & Yatsenko, Yuri, 2007. "Investment, replacement and scrapping in a vintage capital model with embodied technological change," MPRA Paper 3619, University Library of Munich, Germany.
    2. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    3. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    4. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    5. Jorgenson, Dale W, 1996. "Empirical Studies of Depreciation," Economic Inquiry, Western Economic Association International, vol. 34(1), pages 24-42, January.
    6. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    7. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-1174, December.
    8. Mairesse, Jacques & Dormont, Brigitte, 1985. "Labor and investment demand at the firm level : A comparison of French, German and U.S. manufacturing, 1970-79," European Economic Review, Elsevier, vol. 28(1-2), pages 201-231.
    9. Alfonso Flores-Lagunes, 2007. "Finite sample evidence of IV estimators under weak instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 677-694.
    10. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2004. "Estimation with weak instruments: Accuracy of higher-order bias and MSE approximations," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 272-306, June.
    11. Marcelo L. Veracierto, 2002. "Plant-Level Irreversible Investment and Equilibrium Business Cycles," American Economic Review, American Economic Association, vol. 92(1), pages 181-197, March.
    12. Bond, Stephen & Van Reenen, John, 2007. "Microeconometric Models of Investment and Employment," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 65, Elsevier.
    13. 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.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    15. Iain Cockburn & Murray Frank, 1992. "Market Conditions and Retirement of Physical Capital: Evidence fron Oil Tankers," NBER Working Papers 4194, National Bureau of Economic Research, Inc.
    16. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(2), pages 222-240, April.
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    Cited by:

    1. Val鲩e Chouard & Daniel Fuentes Castro & Delphine Irac & Matthieu Lemoine, 2014. "Assessing the losses in euro area potential productivity due to the financial crisis," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2711-2720, August.
    2. Antonio Garofalo & R. Plasman & Concetto Paolo Vinci, 2000. "Reducing Working Time In An Efficiency Wage Economy With A Dual Labour Market," Working Papers 7_2000, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    3. Antonio Garofalo & Concetto Paolo Vinci, 2000. "Employment, capital operating time and efficiency wages hypothesis: is there any room for worksharing," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 168, pages 397-442.
    4. Joseph Lanfranchi & John Treble, 2010. "Just‐In‐Time Production, Work Organization And Absence Control," Manchester School, University of Manchester, vol. 78(5), pages 460-483, September.
    5. Geoffrey Barrows & Hélène Ollivier & Ariell Reshef, 2023. "Production Function Estimation with Multi-Destination Firms," CESifo Working Paper Series 10716, CESifo.
    6. Yuri Yatsenko & Natali Hritonenko, 2016. "Asset replacement under improving operating and capital costs: a practical approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 2922-2933, May.
    7. Fabrice Gilles, 2015. "Evaluating the Impact of a Working Time Regulation on Capital Operating Time: The French 35-hour Work Week Experience," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(2), pages 117-148, May.
    8. James Harrigan & Ariell Reshef & Farid Toubal, 2018. "Techies, Trade, and Skill-Biased Productivity," Working Papers 2018-21, CEPII research center.
    9. Gilbert Cette & Yusuf Kocoglu & Arnaud Sylvain, 2007. "Flexibilité organisationnelle et utilisation des facteurs de production. Une comparaison européenne," Revue de l'OFCE, Presses de Sciences-Po, vol. 101(2), pages 315-332.
    10. Michalis Nikiforos, 2012. "On the Utilization Controversy: A Theoretical and Empirical Discussion of the Kaleckian Model of Growth and Distribution," Economics Working Paper Archive wp_739, Levy Economics Institute.
    11. Alizadeh, Amir H. & Strandenes, Siri Pettersen & Thanopoulou, Helen, 2016. "Capacity retirement in the dry bulk market: A vessel based logit model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 28-42.

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    More about this item

    Keywords

    Capital; Capital measure; Capital retirement; Capital utilisation.;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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