Abstract

The aim of the article. The goal of the article is to make a comparative analysis of regions of Ukraine by the level of auto transport complex influence (ATC). The results of the analysis. Growth of economics of any country depends on the development of its regions. Efforts of increasing indexes determine the necessity of elimination of disproportions in regions development. At the same time not only economical indexes and the level of development of particular spheres of economics, concentration of their manufacturing powers on particular territory but also the influence of manufactures on social, demographic and ecological characteristics of region. It concerns not only the manufacturing of goods but also the non-manufacturing business. Analysis of literature data witnesses that the influence of ATC activity on the state of environment, technological improvements of vehicles, which would promote reducing this influence is not examined as the index of functioning of auto transport. However, it should be noticed that the problem of negative influence of transport emissions on the environment stance and atmosphere air is very important. Comparative analysis of this characteristic would allow finding clusters, which would be characterized by the same level of ecological pressure caused by development of ATC. Such clusters can be picked out: very high emission pressure (Kyiv); second cluster including three regions with high emission level (Kyivska, Dnipropetrovska, Donetska) and eight regions with medium emission level (Zaporizhska, Poltavska, Odeska, Lvivska, Kharkivska, Zakarpatska, Khersonska and Cherkaska regions); third cluster includes seven regions with low level of emission (Zhitomirska, Vinnytska, Kirovogradska, Mykolaivska, Khmelnytska, Chernivetska and Crimea); fourth cluster consists of eight regions with very low emission level (Luganska, Ivano-Frankivska, Sumska, Chernigivska, Rivenska, Volynska, Ternopilska regions and Sevastopol). Comparative analysis with use of cluster analysis method on the ground of data given by State Committee of Statistics of Ukraine had been made by such indexes as transport emissions (thousand tones) and also the relation of quantity of emissions to territory and its population. The correlation matrix for indexes of emissions to the atmosphere of Ukraine was found. Ward-method was used to group the regions of Ukraine. Conclusions and directions of further researches. Comparative analysis of regions by such integral index as index of emissions from auto transport allows the heads of different levels of state government to find out weak and strong sides of native politics and to define the priority directions of their further activities. The results of research allow speaking about the necessity of differential approach to regions development and united state strategy based on conceptual principals of sustainable development.

Keywords: auto transport complex, pollutant emissions, factor analysis, method of main components, integral estimation, territory ranking, hierarchical method of cluster analysis

JEL Classification: Q51, Q53, R00.

Cite as: Chinkuliak N. & Marov, I. (2014). Comparative analysis of regions of Ukraine by the level of emissions from auto transport. Marketing and Management of Innovations, 1, 287-296. https://doi.org/10.21272/mmi.2014.1-28

This work is licensed under a Creative Commons Attribution 4.0 International License

References

1. Kukharskaia, N.А. (2010). Faktory razvitiia regionov Ukrainy v protsesse transformatsii ekonomiki strany [Development factors of regions of Ukraine in the process of transformation of country economics]. Ekonomika promyslovosti – Industrial economics, 2 (29), 19-27 [in Ukrainian].
2. Аmosha, О. (2003). Osoblyvosti rozvytku prykordonnogo spivrobitnytstva promyslovogo regionu [Peculiarities of development of near bordercooperation of industrial region]. Ekonomist – Economist, 9, 28-30 [in Ukrainian].
3. Bilorus, O.G., & Matseiko, Yu.M. (2005). Globalna perspektyva i stalyi rozvytok [Global perspective and sustainable development]. Кyiv: MAUP [in Ukrainian].
4. Heiets, V.М. & Semenozhenko, V.P. (2006). Innovatsiini perspektyvy Ukrainy [Innovation perspectives of Ukraine]. – Kharkiv: Konstanta [in Ukrainian].
5. Herasymchuk, Z.V., & Korolchuk, L.V. (2009). Transkordonne spivrobitnytstvo regioniv:  metodyka otsinky ta shliakhy aktyvizatsii [Trans border cooperation of regions: methods of estimation and ways of stirring up]. Lutsk: Nadstyria [in Ukrainian].
6. Herasimchuk, Z.V., & Kondius, I.S. (2010). Teoretychni ta prykladni zasady prognozuvannia stiikogo rozvytku regionu [Theoretic and applied measures of prognosing the sustainable development of region]. Lutsk: Nadstyria [in Ukrainian].
7. Doroguntsov, S. & Fedoryshcheva, A. (2000). Tekhnogenno-yekologicheskaia bezopasnost urbanizirovannykh territorii [Technogenic-ecological safety of urbanized territories of Ukraine]. Ekonomika Ukrainy – Economics of Ukraine, 5. 4 – 11 [in Ukrainian].
8. Simonenko, V.К. (1997). Regiony Ukrainy. Problemy rozvytku [Regions of Ukraine. Problems of development]. Кyiv: Naukova dumka [in Ukrainian].
9. Pavlova, E.I. (2000). Ekologiia transporta [Ecology of transport]. Мoskva: Transport [in Russian].
10. Pashchenko, Yu., & Davydenko, A. (1999). Razvitie mezhdunarodnogo transportnogo soobshcheniia Ukrainy [Development of international transport communication of Ukraine]. Ekonomika Ukrainy – Economics of Ukraine, 5, 47-55 [in Ukrainian].
11. Halushko, V.N. (2006). Tekhnologiia imitatsionnogo modelirovaniia dinamiki obsluzhivania passazhiropotoka gorodskim transportom [Technology of imitational modeling of dynamics of passengers by city transport]. System Research & Information Technologies, 1, 18-30 [in Russian].
12. Yakunin, V.I. (2006). Politologiia transporta. Politicheskoe izmmerenie transportnogo razvitiia [Political science of transport. Political measuring of transport development]. Мoskva: Izd-vo «Ekonomika» [in Russian].
13. Osaulenlo, O.H. Ukraina v tsifrakh za 2011 r. [Ukraine in numbers» of 2011]. (2012). Kyiv: Derzhavnyi komitet statystyky Ukrainy [in Ukrainian].
14. Penshyn, N.V. (2008). Otsenka effektivnosti funktsyonirovania avtomobilnogo transporta [Estimation of transport functioning effectiveness]. Universitet V.I. Vernadskogo – University of V.I. Vernadskii, 1 (11), Vol. 2, 89-98 [in Ukrainian].
15. Osaulenko, O.H. (Eds.). (2013). Regiony Ukrainy za 2012 r. [Ukraine in numbers of 2011]. Kyiv: Derzhavnyi komitet statystyky Ukrainy [in Ukrainian].
16. Yerina, A.М. (2001). Statystychne modeliuvannia ta prognozuvannia [Statistic modeling and prognostication]. Кyiv: КNEU [in Ukrainian].
17. Press, W.H., Teukolsky S.A., Vetterling W.T., & Flannery B.P. (2000). Numerical recipes: the art of scientific computing. New York: Cambridge University Press [in English].
18. Zinoviev, А.Yu. (2000). Vizualizatsiia mnogomernykh dannykh [Visualization of multivariative data]. Кrasnoiarsk: КGTU [in Russian].
19. Аivazian, S.А., Bukhshtaber V.M., & Yeniukov I.S. (1989). Prikladnaia statistika. Klassifikatsyia i snizhenie razmernosti [Applied statistics. Classification and decreasing of dimension]. Мoskva: Finansy i statistika КGTU [in Russian].
20. Jolliffe, I.T. (2002). Principal Component Analysis. Springer Series in Statistics. NY: Springer [in English].
21. Chubukova, І.А. (2006). Metody klasternogo analizu. Iierarkhichni metody. [Methods of cluster analysis. Hierarchical methods]. INTUIT.ru Data Mining. Retrieved from http://www.intuit.ru /department/database/datamining/13/2.html [in Ukraininan].