THE CLUSTERING MODELS IN THE TRANSPORT LINKS’ DIFFERENTIATION BETWEEN RUSSIA AND LATIN AMERICA
https://doi.org/10.26518/2071-7296-2017-6(58)-55-63
Abstract
The clustering of Latin American countries with the aim of identifying the priority directions of the transport links’ organization is presented for ensuring the foreign trade relations with the Russian Federation. The choice of trade Russian partners in Latin America by cluster analysis, which uses the statistical R- environment is performed. Such clustering indicators as the population, the territory size and GDP in absolute terms and per capita are used. The optimal number of clusters, which is equal to 4 is determined at the first stage, at the second stage the countries’ clustering in Latin America is carried out, at last the statistical evaluation of the results is given. The most promising for the foreign trade relations development with Russia are the first cluster countries. This cluster is formed by the great number of countries and therefore, it could be named «typical» one. The potential of these countries in transportation service of trade flows is estimated on the basis of the Logistics Performance Index’ rating (LPI is published in 2016 by the World Bank). The results of the cluster analysis show that the research has good prospects of practical implementation in the future, because most countries are located on the Pacific coast and have a land border between themselves.
About the Authors
V. M. Kurganov
Tver State University
Russian Federation
Russian Federation
Doctor of Technical Sciences, Ass. Professor, Professor, Department of mathematics, statistics and Informatics in economy
170100, Tver, Zhelyabova, 33
A. A. Serov
Tver State University
Russian Federation
Russian Federation
сandidate of Physical and Mathematical Sciences, Ass. Professor, Ass. Professor, Department of mathematics and science education
170100, Tver, Zhelyabova, 33
V. G. Morales
Tver State University
Russian Federation
Russian Federation
graduate student, Department of mathematics, statistics and Informatics in economy
170100, Tver, Zhelyabova, 33
References
1. Klochkovskii L.L. Natsional’nye strategii razvitiya i ekonomicheskoe budushchee Latinskoi Ameriki [National development strategy and the economic future of Latin America]. Moscow, AST, 2006. 280 p.
2. Vergara E.S. Kharakteristika chelovecheskikh resursov Ekvadora kak dvizhushchego faktora povysheniya konkurentosposobnosti strany v sovremennykh usloviyakh razvitiya gosudarstv Latinskoi Ameriki [Feature of human resources of Ecuador as a driving factor of increase of competitiveness of the country in modern conditions of development of the countries of Latin America]. Kreativnaya ekonomika [journal of Creative economy], 2015, tom 9, no 12, pp. 1673 – 1688.
3. Martynov B.F. Dilemma «mnogopolyarnogo mira» i Latinskaya Amerika [The dilemma of a «multipolar world» and Latin America]. Latinskaya Amerika [Latin America], 2007, no 2, pp. 34 – 42.
4. Krasil’shchikov V.A. Razvitie Rossii i stran Latinskoi Ameriki: faktory skhodstva i razlichiya [The development of Russia and the countries of Latin America: factors of similarities and differences]. Al’manakh «Vostok» [Almanac «East»], 2004, no 6, pp. 67 – 85.
5. Doronina N.G. Pravovaya model’ ekonomicheskoi integratsii v stranakh Latinskoi Ameriki [The legal model of economic integration in Latin America]. Moscow, INFRA- M, 2017. 340 p.
6. Kurganov V.M. Logistika vneshnetorgovykh svyazei Ekvadora i Rossii [Logistics foreign trade relations of Ecuador and Russia]. Tver, Tver State University, 2015. 72 p.
7. Kurganov V.M., Morales V.D. Konkurentnye preimushchestva sistem transportirovki tovarov v Rossiyu iz Ekvadora [Competitive advantages of the systems of transportation of goods to Russia from Ecuador]. Logistika: Evraziiskii most: tezisy dokl. XI Mezhdunarodnoi nauchnoprakt. konf. (Krasnoyarsk, 28-30 aprelya 2016 g.). Krasnoyarsk, 2016, pp. 134 – 138.
8. Kurganov V.M., Morales V.D. Osobennosti tsenoobrazovaniya pri eksporte tovarov iz Ekvadora v Rossiyu [Features of pricing in exports from Ecuador to Russia]. Vestnik Tverskogo gosudarstvennogo universiteta, 2015 no 3, pp. 248 – 254.
9. Mandel I. D. Klasternyi analiz [Cluster analysis]. Moscow, Finansy i statistika, 1988. 176 p.
10. Yau N. Iskusstvo vizualizatsii v biznese: Kak predstavit’ slozhnuyu informatsiyu prostymi obrazami [The art of visualization in business: How to present complex information in simple images]. Moscow, Mann, Ivanov i Ferber, 2013. 352 p.
11. Zaryadov I.S. Statisticheskii paket R: teoriya veroyatnostei i matematicheskaya statistika [The statistical package R: theory of probability and mathematical statistics]. Moscow, RUDN, 2010. 141 p.
12. Latinskaya Amerika [Latin America]. [Elektronnyi resurs] URL: https://ru.wikipedia.org/wiki/Latinskaya_Amerika (data obrashcheniya 07.12.2017).
13. Spisok stran po VVP (PPS) [List of countries by GDP (PPP)]. [Elektronnyi resurs] URL: https://ru.wikipedia.org/wiki/Spisok_stran_po_VVP_(PPS) (data obrashcheniya 07.12.2017).
14. Spisok stran po VVP na dushu naseleniya (PPS) [List of countries by GDP per capita (PPP)] [Elektronnyi resurs] URL: https://ru.wikipedia.org/wiki/Spisok_stran_po_VVP_(PPS)_na_dushu_nase-leniya (data obrashcheniya 07.12.2017).
15. Serov A.A. Primenenie resamplingovykh metodov dlya analiza ekonomicheskikh dannykh v statisticheskoi srede R [Application resampling methods to analyze economic data in the statistical environment R]. Matematika, statistika i informatsionnye tekhnologii v ekonomike, upravlenii i obrazovanii: tezisy dokl. V Mezhdunar. nauchno-prakt. konf. (Tver’, 31 maya 2016 g.). Tver, 2016, pp. 208 – 213.
16. Mal’tseva A.A., A.A. Serov Pozitsionirovanie mirovykh ekonomik na osnove global’nykh indeksov [The positioning of the world’s economies based on the global indexes]. Mezhdunarodnaya ekonomika [International Economy]. 2014, no 5, pp. 64 – 78.
17. Serov A.A. Nekotorye voprosy primeneniya resamplingovykh metodov v ekonometricheskom analize [Some of the application resampling methods in econometric analysis]. Matematika, statistika i informatsionnye tekhnologii v ekonomike, upravlenii i obrazovanii: tezisy dokl. IV Mezhdunar. nauchno-prakt. konf. (Tver’, 2 iyunya 2015 g.). Tver, 2015, pp. 211 – 216.
18. Logistics Performance Index. [Elektronnyi resurs] URL https://wb-lpi- media.s3.amazonaws.com/LPI_Report_ 2016. pdf (data obrashcheniya: 05.01.2017).
19. Kurganov V.M. Competitiveness of economy and transport maintenance of logistics. European researcher. 2013, no 11. 2(63), pp. 2716 – 2722.
20. Kurganov V.M. Makroekonomicheskaya otsenka transportnogo potentsiala. Zakony logistiki i statisticheskie zakonomernost [Macroeconomic evaluation of transport capacity. The law of logistics and statistical regularities]. Tver’: Tver. gos. un-t, 2013 68 p.
21. Fisenko A.I., Khamaza E.A. Porto-franko Vladivostok: istoricheskii opyt i sovremennye zadachi [Free port Vladivostok: historical experience and modern problems]. Fundamental’nye issledovaniya [Basic Research]. 2015, no 6-3, pp. 637 – 642 ; URL: https://fundamental-research.ru/ru/article/view?id=38674 (data obrashcheniya: 05.12.2017).
22. Korneiko O.V., Sultanova A.P. Portovaya infrastruktura regiona v usloviyakh svobodnogo porta Vladivostoka [Port infrastructure of the region in terms of the free port of Vladivostok]. Mezhdunarodnyi zhurnal prikladnykh i fundamental’nykh issledovanii [International journal of applied and fundamental research]. 2016, no 5-4, pp. 608 – 612; URL: https://applied-research.ru/ru/article/view?id=9460 (data obrashcheniya: 05.12.2017).
Review
For citations:
Kurganov V.M., Serov A.A., Morales V.G. THE CLUSTERING MODELS IN THE TRANSPORT LINKS’ DIFFERENTIATION BETWEEN RUSSIA AND LATIN AMERICA. The Russian Automobile and Highway Industry Journal. 2017;(6(58)):55-63. (In Russ.) https://doi.org/10.26518/2071-7296-2017-6(58)-55-63
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