Advertisement

Leadership in the Agricultural Sphere of the Economy

  • Alexander Kovalenko
  • Elena Tarkhanova
  • Elena Nazmutdinova
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

The article makes a scientific substantiation of the component options of agricultural enterprises’ material and technical resources on the basis of the author’s economic mathematic model. It foresees income obtainment from operational activity by the business entities and assurance of leadership positions of agricultural sphere upon such conditions as compliance with optimal dimensions and structure of agricultural lands and crop areas; increase of natural soil fertility at the expense of the improvement of the crop areas structure, planting expansion of bean cultures and perennial grass, and use of green manures; increase of livestock and poultry; compliance with scientifically grounded diet of livestock and poultry in animal industry; balanced use of mineral and organic fertilizers; use of the definite quantity of technical means; and definition of the costs, which represent the price of the existing and new technique, which should be purchased in order to fulfil certain operational processes and demands according to realized technologies. Optimization of the material and technical resource structure of the agricultural enterprises was conducted on the basis of Odessa region. Its aim is to satisfy population needs and industry demands in agro-food and primary production in order to assure an expanded reproduction of material and technical resources on the basis of flourishing management of agricultural enterprises. An economic mathematical model has been constructed according to the maximum of income from agricultural activity.

References

  1. Braslavets ME, Kravchenko RG (1972) Mathematical modelling of economic processes in agriculture, 1st edn. Kolos, Moscow, 590 pGoogle Scholar
  2. Brodzicki T (2016) Does variety matter? Export pattern of Poland prior and after the accession to the EU. Int Econ Lett 4(2):103–118.  https://doi.org/10.24984/iel.2016.4.2.5 Google Scholar
  3. Brozova I (2011) Financial health of agricultural enterprises in the organic sector. Acta Universitatis Agriculturae et Silvicuturae Mendelianae Brunensis 7:91–96CrossRefGoogle Scholar
  4. Brozova I, Vanek J (2013) Assessment of economic efficiency of conventional and organic agricultural enterprises in a chosen region. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 2:297–307CrossRefGoogle Scholar
  5. Domar ED (1946) Capital expansion, rate of growth and employment. Econometrica 14:137–147.  https://doi.org/10.2307/1905364 CrossRefGoogle Scholar
  6. Gataulin AM, Gavrilov GV, Sorokina TM (1990) Mathematical modeling of economic processes in agriculture, 1st edn. Agropromizdat, Moscow, 432 pGoogle Scholar
  7. Gryshova IY, Shestakovska TL (2017) The asymmetry of the resource configuration and its destructive impact on the capitalization of agribusiness. Sci Pap Legis Inst Verkhovna Rada Ukraine 2:128–133Google Scholar
  8. Gryshova IY, Shabatura TS, Naumov OB (2016a) Capitalization of the brand as a tool for maximizing the market value of business. Sci Bull Polyssia 3(6):168–175Google Scholar
  9. Gryshova ІY, Yanchuk AO, Shestakovska AO (2016b) The mechanism for implementing the functions of consumerism in market conditions. Sci Bull Polyssia 1(9):93–101Google Scholar
  10. Gryshova ІY, Negodenko VS, Shestakovska TL (2017) The methodological principles of determining the level of performance of the functions of consumerism. Sci Bul Polyssia 3(11):62–67Google Scholar
  11. Janda K, Rausser G, Strielkowski W (2013) Determinants of profitability of polish rural micro-enterprises at the time of EU accession. East Eur Countryside 19:177–217.  https://doi.org/10.2478/eec-2013-0009 Google Scholar
  12. Jankelová N, Jankurová A, Masár D (2017) Effective management and self-government: current trends. Czech J Soc Sci Bus Econ 6(2):21–31.  https://doi.org/10.24984/cjssbe.2017.6.2.3 Google Scholar
  13. Kotenko SV, Dyachenko OP, Matvienko OS (2010) Finding the optimum using models of linear programming. Agrar Bull Black Sea Reg 1:115–118Google Scholar
  14. Kuznetsova EP, Sigal AV (1997) Economic-mathematical characteristics of production efficiency indicators. Econ Manag 2:27–28Google Scholar
  15. Leonttief W (1986) Input-output economics, 1st edn. Oxford University Press, New York, 269 pGoogle Scholar
  16. Mishra US, Singhania D (2014) Contrasting the levels of poverty against the burden of poverty: an Indian case. Int Econ Lett 3(2):26–35.  https://doi.org/10.24984/iel.2014.3.2.1 Google Scholar
  17. Naumov OB, Naumova LM (2017) Strategic vectors of state regulation of agro-industrial production: tools and methods of consolidation of development resources. Sci Notes Inst Legis Verkhovna Rada Ukraine 4:93–100Google Scholar
  18. Niño-Amézquita J, Dubrovsky V, Jankurová A (2017) Innovations and competitiveness in regional development: a comparison of Latin America, Europe, and China. Czech J Soc Sci Bus Econ 6(1):28–36.  https://doi.org/10.24984/cjssbe.2017.6.1.4 Google Scholar
  19. Solow RM (1956) A contribution to the theory of economic growth. Q J Econ 70:65–94.  https://doi.org/10.2307/1884513 CrossRefGoogle Scholar
  20. Štreimikienė D, Strielkowski W, Bilan Y, Mikalauskas I (2016) Energy dependency and sustainable regional development in the Baltic states: a review. Geogr Pannonica 20(2):79–87.  https://doi.org/10.5937/GeoPan1602079S CrossRefGoogle Scholar
  21. Strielkowski W, Lisin E, Gryshova I (2016) Climate policy of the European Union: what to expect from the Paris agreement? Rom J Eur Aff 16(4):79–84Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Alexander Kovalenko
    • 1
  • Elena Tarkhanova
    • 2
  • Elena Nazmutdinova
    • 3
  1. 1.Odessa National Polytechnic UniversityOdessaUkraine
  2. 2.University of TyumenTyumenRussian Federation
  3. 3.Industrial University of TyumenTyumenRussian Federation

Personalised recommendations