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Lifetimes Of Machinery And Equipment: Evidence From Dutch Manufacturing

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  • Abdul Azeez Erumban

Abstract

This paper estimates service lifetimes for capital assets in Dutch manufacturing industries, using information on asset retirement patterns. A Weibull distribution function is estimated using a non‐linear regression technique to derive service lifetimes for three selected asset types: transport equipment, machinery and computers. For this purpose, benchmark capital stock surveys for different two‐digit industries are linked to annual discard surveys. On average the estimated lifetimes are 6, 9 and 26 years for transport equipment, computers and machinery, respectively. However, these estimates vary across industries. A comparison of our estimates with Canadian, U.S. and Japanese estimates shows notable differences in the lifetimes of all the asset types, with machinery showing the largest difference.

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  • Abdul Azeez Erumban, 2008. "Lifetimes Of Machinery And Equipment: Evidence From Dutch Manufacturing," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(2), pages 237-268, June.
    • Handle: RePEc:bla:revinw:v:54:y:2008:i:2:p:237-268
    DOI: 10.1111/j.1475-4991.2008.00272.x
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    Cited by:

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    2. Wang, Lili & Szirmai, Adam, 2012. "Capital inputs in the Chinese economy: Estimates for the total economy, industry and manufacturing," China Economic Review, Elsevier, vol. 23(1), pages 81-104.
    3. Marco Pellegrini & Cesare Saccani & Alessandro Guzzini, 2024. "Environmental Life Cycle Assessment of Innovative Ejectors Plant Technology for Sediment By-Pass in Harbours and Ports," Sustainability, MDPI, vol. 16(17), pages 1-28, September.
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    5. Maes, Ben & Sacchi, Romain & Steubing, Bernhard & Pizzol, Massimo & Audenaert, Amaryllis & Craeye, Bart & Buyle, Matthias, 2023. "Prospective consequential life cycle assessment: Identifying the future marginal suppliers using integrated assessment models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. Tsiliyannis, Christos Aristeides, 2015. "Sustainability by cyclic manufacturing: Assessment of resource preservation under uncertain growth and returns," Resources, Conservation & Recycling, Elsevier, vol. 103(C), pages 155-170.
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    8. Ghulam Mustafa & Muhammad Jamil, 2018. "Testing the Governance-Productivity Nexus for Emerging Asian Countries," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 143-169, Jan-June.
    9. Bert M. Balk, 2007. "Measuring Productivity Change without Neoclassical Assumptions: A Conceptual Analysis," CEPA Working Papers Series WP042007, School of Economics, University of Queensland, Australia.
    10. Simms, Christopher & Frishammar, Johan & Ford, Nicholas, 2021. "The front end in radical process innovation projects: Sources of knowledge problems and coping mechanisms," Technovation, Elsevier, vol. 105(C).
    11. Barth, Nini & Cappelen, Ådne & Skjerpen, Terje & Todsen, Steinar & Åbyholm, Thom, 2016. "Expected service lives and depreciation profiles for capital assets: Evidence based on a survey of Norwegian firms," Journal of Economic and Social Measurement, IOS Press, issue 4, pages 329-369.
    12. Tsiliyannis, Christos Aristeides, 2018. "Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age," European Journal of Operational Research, Elsevier, vol. 271(2), pages 474-489.
    13. Ana Rincon-Aznar & Rebecca Riley & Garry Young, 2017. "Academic Review of Asset Lives in the UK," National Institute of Economic and Social Research (NIESR) Discussion Papers 474, National Institute of Economic and Social Research.
    14. Villarreal, Francisco G. & Aravena, Claudio & Jofré, José, 2010. "Estimación de servicios de capital y productividad para América Latina," Estudios Estadísticos 4772, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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