Optimal obsolescence
Kenneth I. Carlaw
Mathematics and Computers in Simulation (MATCOM), 2005, vol. 69, issue 1, 21-45
Abstract:
Technological change is examined in a model of capital production to show that “creative destruction” can occur as an outcome of firm's optimizing behaviour, regardless of market structure. Capital systems are made up of components that are all necessary for each system to operate and each component has uncertainty with respect to its durability. For different types of technological change agents make a corresponding decision about whether to continue to use the original capital system (if it is still alive) or to scrap it and build a new capital system which embodies the new technology. Each system has transitional probabilities for scrapping that depend on the size of the present value of the vintage. As technology improves, the optimizing level of durability, and thus the optimal stock of embodied services increases for the new capital system. Yet simultaneously the probability of scrapping an old system over any given time interval increases. Thus, the larger is the improvement in technology, the greater is the chance of scrapping the old system before its physical service life has ended. Over some time horizon of unforeseen and rapid technological change investment in new capital systems could be increasing while at the same time old capital systems are scrapped at a faster rate.
Keywords: Optimal obsolescence; Technological change; Returns to scale (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475405000522
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:69:y:2005:i:1:p:21-45
DOI: 10.1016/j.matcom.2005.02.034
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().