IJPAM: Volume 72, No. 1 (2011)


Jean-François Emmenegger$^1$, Elena Pervukhina$^2$, Victoria Golikova$^3$
$^1$Department of Quantitative Economics
University of Fribourg
$^2$Sevastopol National Technical University
Universitetskaya Str., 33, 99053, Sevastopol l, UKRAINE

Abstract. Ukraine has industrial achievements as the former Republic of the USSR. Today, Ukraine is an independent state, considered as an emerging-market country, trying to put in front its high potential to establish new economic relations with Western countries.

Integration with the European Union (EU) is actually considered to be an important subject of the foreign policy of Ukraine. In the context of a pragmatic and mutually beneficial cooperation between Ukraine and its European partners, the realisation of transport potential is of vital importance, see Academic S. Pyrozhkov, [#!Pyrozhkov!#]. The authors of many economic papers, see Kondrya [#!Kondrya!#] and Kudriza [#!Kudriza!#] emphasise the necessity of development of new methods of economic sector analysis based on their principal features and the relationships between the sectors. These requests are analogue to those of leading Russian scientists like Academic S. Aivazian [#!Aivazian!#], who proposed to consider four major sectors of the Russian economy for analytical description and to separate power generation and freight transport into two sectors.

Ukrainian officials like Kondrya [#!Kondrya!#] and Kudriza [#!Kudriza!#] address requests of development of new methods of analyses in the transport complex, specially the detection of interrelationships between the modes of transport.

This paper investigates monthly time series of the transport volume of Ukrainian cargo transit, namely road, pipeline, water and railway transport and proposes a cointegration analysis in the period of January 2003 to January 2010 with the aim to detect linear relationships between the cargo volumes.

Received: August 24, 2011

AMS Subject Classification: 62P20, 47N10, 37N40

Key Words and Phrases: transport, cargo volume analysis, time series,

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Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2011
Volume: 72
Issue: 1