EconPapers    
Economics at your fingertips  
 

Optimal Allocation of Physical and Skills Capital in Services Production

Abhay Gupta ()

MPRA Paper from University Library of Munich, Germany

Abstract: ”Software/ Skills” capital differs from usual physical capital (or hard- ware) in the sense that it is non-rival and can be replicated at a cost (e.g. patent fee or training costs). A basic model of production is developed which involves production sector and training or replication sector (which produces skills). Using a 2 period production model, the paper finds that in sectors where the objective is output maximization (e.g. government services or health care) - There exists an optimal ratio of investment in physical capital and in- vestment in skills-capital depending on the state of technology and already existing stocks. In a capital-rich economy, a higher proportion of skills is allocated to pro- duction sector and a higher proportion of investment is allocated to training sector compared to capital-scarce economy . During high-investment periods, a higher share of investment goes to physical capital while a lower share of skills goes into production sector (compared to low-investment period). Initial stock of skills, does not have any affect on these allocation-ratios.

JEL-codes: D24 E23 J24 L8 (search for similar items in EconPapers)
Date: 2007-01
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/8999/1/MPRA_paper_8999.pdf original version (application/pdf)

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:pra:mprapa:8999

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:8999