EconPapers    
Economics at your fingertips  
 

On the efficiency of hurdle rate-based coordination mechanisms

Stephan Leitner and D.A. Behrens

Mathematical and Computer Modelling of Dynamical Systems, 2015, vol. 21, issue 5, 413-431

Abstract: Financial resources are scarce, which is why corporate capital budgeting needs to employ efficient allocation mechanisms. This paper conceptually transforms the idea behind a hurdle rate-based coordination mechanism from an agency model into a computational model of a multi-divisional corporation with both heterogeneous departments and heterogeneous investment opportunities competing for the same source of funding. On the basis of our results, we reason that for heterogeneous investment opportunities a recurrent use of a hurdle rate-based coordination mechanism can work efficiently only if intra-organizational communication is assumed to be absent. We show that, if only a single investment opportunity can be carried into execution due to scarce financial resources, the heterogeneity of the competing investment opportunities positively affects the departments’ pay-offs, while the number of proposed investment projects negatively impacts departmental utilities derived from a residual income. The latter is why our results support the assumption that an emergence of cooperation is to be expected as soon as departments can establish interdepartmental communication, rendering a hurdle rate-based coordination mechanism inefficient.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://hdl.handle.net/10.1080/13873954.2014.973885 (text/html)
Access to full text is restricted to subscribers.

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:taf:nmcmxx:v:21:y:2015:i:5:p:413-431

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/NMCM20

DOI: 10.1080/13873954.2014.973885

Access Statistics for this article

Mathematical and Computer Modelling of Dynamical Systems is currently edited by I. Troch

More articles in Mathematical and Computer Modelling of Dynamical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:nmcmxx:v:21:y:2015:i:5:p:413-431