Regional Tourism Competition in the Baltic States: a Spatial Stochastic Frontier Approach
Dmitry Pavlyuk ()
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper aimed at a statistical analysis of competition for tourists between regions within Baltic states (Estonia, Latvia, Lithuania) and estimation relative efficiency levels of regions. We apply a modern approach called Spatial Stochastic Frontier and corresponded to spatial modification of a stochastic frontier model. We specify two alternative spatial stochastic frontier models – distance and travel-time based to identify an influence of existing transport network on research results. Using the model we analyse region-specific factors (tourism infrastructure, employment, geographical position and natural attractors) having an effect on a number of visitors and estimate regions' efficiency values. We discover a significant level of inefficiency of Baltic states regions and propose some ways to improve the situation.
Keywords: spatial stochastic frontier; efficiency; competition; regional tourism; transport network (search for similar items in EconPapers)
JEL-codes: C31 C33 C51 L83 O18 R15 (search for similar items in EconPapers)
Date: 2010-08
New Economics Papers: this item is included in nep-cis, nep-cse, nep-eff, nep-geo, nep-tur and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/25052/1/MPRA_paper_25052.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:25052
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 ().