EconPapers    
Economics at your fingertips  
 

Evolutionary Variational Formulation for Oligopolistic Market Equilibrium Problems with Production Excesses

Annamaria Barbagallo () and Paolo Mauro
Additional contact information
Annamaria Barbagallo: University of Naples “Federico II”
Paolo Mauro: University of Catania

Journal of Optimization Theory and Applications, 2012, vol. 155, issue 1, No 16, 288-314

Abstract: Abstract The paper is devoted to generalize a previous model of the dynamic oligopolistic market equilibrium problem allowing the presence of production excesses and assuming, in a more reasonable way that the total amounts of commodity shipments from a firm to all the demand markets be upper bounded. First, we give equilibrium conditions in terms of the well-known dynamic Cournot–Nash equilibrium principle. Then we show that such conditions can be expressed in terms of Lagrange multipliers; namely, by means of an utility function, prove that both equilibrium conditions can be equivalently expressed by a variational inequality. The variational formulation allows us to provide existence theorems and qualitative properties for equilibrium solutions. At last, a numerical example illustrates the results obtained.

Keywords: Dynamic oligopolistic market equilibrium problem; Production excess; Dynamic Cournot–Nash equilibrium; Evolutionary variational inequality; Lagrange variables; Assumption S (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-012-0056-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:joptap:v:155:y:2012:i:1:d:10.1007_s10957-012-0056-z

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-012-0056-z

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:155:y:2012:i:1:d:10.1007_s10957-012-0056-z