Statistical aspects of Ukrainian agribusiness’ monitoring

Tetiana Pohorielova
PhD in Economics, Associate Professor, Department of Statistics, Odessa National Economic University, Ukraine, e-mail: tvpogor@gmail.com, ORCID ID: https://orcid.org/0000-0003-1045-3241

Cite this article:

Pohorielova, T. (2019). Statistical aspects of Ukrainian agribusiness’ monitoring. Ed.: M. Zvieriakov (ed.-in-ch.) and others [Statystychni aspekty monitorynhu ahrobiznesu Ukrainy; za red.: М. I. Zvieriakova (gol. red.) ta in.], Socio-economic research bulletin; Vìsnik socìal’no-ekonomìčnih doslìdžen’ (ISSN 2313-4569), Odessa National Economic University, Odessa, No. 1 (69), pp. 58-67.

Abstract

The regular monitoring issues of the agricultural sector are becoming of primary importance in the globalization and transformation context of Ukrainian economy. Therefore, conceptual approaches to the monitoring interpretation as a process of agribusiness observation in Ukraine are systematized and generalized in the conducted research, in order to assess its current state and prospects of functioning in the market relations conditions. It is proved that statistical monitoring must timely and fully monitor the situational moments, as well as to form high-quality databases for further analysis and forecasting of agribusiness development. An algorithm for agribusiness’ monitoring is developed, and its stages are characterized, on the basis of statistical methods using. The proposed algorithm procedure consists of five stages, each of which has its own statistical methods and analysis techniques: from data capture to development of measures for conducting agribusiness. At the stage of a priori analysis, the essence of agribusiness, its key concepts, and categories are investigated. In a broad sense, agribusiness is regarded as a type of business activity in agriculture itself, in industries that create means of production for agriculture, food industry, and also industries, which agriculture serving. In a narrow sense, agribusiness is interpreted as agriculture. The procedure of statistical monitoring of Ukrainian agribusiness in accordance with the proposed algorithm has been carried out. Agribusiness production volumes for the period 2015–2018 are calculated and compared with the volume of GDP of Ukraine, based on statistical standards and the sample surveys results. The structure and dynamics of agribusiness main indicators are analyzed, the intensity of domestic agriculture of development as a basis of agribusiness with the most important economic indicators using is assessed. The basic proportions of agribusiness development and macroeconomic indicators are calculated and evaluated. Conclusions and general recommendations regarding the state and prospects of agribusiness development in Ukraine are formulated.

Keywords

statistical methods; observation; monitoring algorithm; agriculture; agrarian sector; structure; dynamics.

JEL classification: С100; DOI: https://doi.org/10.33987/vsed.1(69).2019.58-67

UD classification: 311:330.3

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

1. FAO (2018). The state of agricultural commodity markets. Agricultural trade, climate change and food security: analytical report [FAO. 2018. Sostoyanie rynkov selskokhozyaystvennoy produktsii. Torgovlya selskohozyaystvennoy produktsiey, izmenenie klimata i prodovolstvennaya bezopasnost: analiticheskiy doklad], Rim, available at: http://www.fao.org/3/I9542RU/i9542ru.pdf [in Russian]
2. Puhachova, M. V., Aistrakhanov, D. D., Valkman, Yu. R., Holovko, V. A., Karpov, V. I. (2003). Conceptual basis of statistical monitoring [Kontseptualni osnovy statystychnoho monitorynhu], NDI statystyky Derzhkomstatu Ukrainy, Kyiv, 344 s. [in Ukrainian]
3. Halitsyn, V. K., Suslov, O. P., Samchenko, N. K. (2013). Conceptual foundations of monitoring [Kontseptualni zasady monitorynhu], Biznes Inform, No. 9, s. 330–335 [in Ukrainian]
4. Ivaniuta, P. V. (2011). Statistical monitoring in the state management system [Statystychnyi monitorynh v systemi derzhavnoho upravlinnia], available at: http://upravlinnya.amu.edu.ua/sites/.../2011/1/14_1_2011.pdf [in Ukrainian]
5. Yerina, A. M. (2001). Statistical modeling and forecasting [Statystychne modeliuvannia ta prohnozuvannia], Kyiv, 260 s. [in Ukrainian]
6. Shvets, V., Tsaruk, O. (2008). Methodological principles of the statistical monitoring of national debt system construction [Metodolohichni zasady pobudovy systemy statystychnoho monitorynhu derzhavnoho borhu], Visnyk KNU im. T. Shevchenka, Seriia: ekonomika, No. 99–100, s. 1–7 [in Ukrainian]
7. Korohodova, O. O., Semenov, V. F. (2018). Principles of spatial development of the Ukrainian agribusiness taking into account of transnationalization processes [Zasady prostorovoho rozvytku ukrainskoho ahrobiznesu z urakhuvanniam protsesiv transnatsionalizatsii], Ekonomichnyi visnyk NTUU «KPI», No. 15, s. 165–172 [in Ukrainian]
8. Hermaniuk, N. V. (2018). The current state of domestic agricultural sector development [Suchasnyi stan rozvytku vitchyznianoho ahrosektoru], Hlobalni ta natsionalni problemy ekonomiky, No. 22, s. 160–164, available at: http://global-national.in.ua/issue-22-2018/30-vipusk-22-kviten-2018-r/3884-p [in Ukrainian]
9. Zinchuk, T. O. (2013). European agricultural market conjuncture: trends and prospects for Ukraine [Koniunktura yevropeiskoho ahrarnoho rynku: tendentsii ta perspektyvy Ukrainy], Ekonomichni nauky, No. 2 (4), s. 95–105, available at: http://nbuv.gov.ua/UJRN/znptdau_2013_2(4)__13 [in Ukrainian]
10. State Statistics Service of Ukraine: site [Derzhavna sluzhba statystyky Ukrainy: sait], available at: http://www.ukrstat.gov.ua [in Ukrainian]
11. Yankovoy, A. G. (2014). Mathematical and statistical methods and models at enterprise management [Matematiko-statisticheskie metody i modeli v upravlenii predpriyatiem], Odessa national economic university, Odessa, 250 s. [in Russian]