An Analysis of the Sri Lankan Conflict Using an Economic Tool

Preben Johannessen, Jayatilleke S. Bandara and Christine Smith
Additional contact information
Christine Smith: Department of Accounting, Finance and Economics, Griffith University, Nathan QLD 4111

Economic Analysis and Policy, 2004, vol. 34, issue 2, 163-188

Abstract: The Sri Lankan ethnic conflict has imposed substantial costs on the Sri Lankan people. All ethnic groups are either directly or indirectly affected by the conflict. Two main parties of the conflict, the Sri Lankan government and the Liberation Tigers of Tamil Eelam (LTTE), signed a ceasefire agreement (CFA) in 2002 and began peace talks for a negotiated settlement. Despite recent peace talk setbacks and reports on massive CFA violations, both parties repeatedly state their commitment to a peaceful solution. This paper offers a strategic analysis of the Sri Lankan conflict by applying an economic tool, in order to determine the type of political structure most likely to work as a resolution, given the present environment, the power of the parties and their current objectives. An attempt is made to obtain probability statements for a set of political solutions, and to provide an interpretation of their numerical values.

Keywords: Conflict (search for similar items in EconPapers)
JEL-codes: D74 O17 (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592604500176
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:ecanpo:v:34:y:2004:i:2:p:163-188

Access Statistics for this article

Economic Analysis and Policy is currently edited by Clevo Wilson

More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().