Document Type: SPECIAL ISSUE


1 Department of Finance, Kharkiv National Agrarian University named after V.V. Dokuchayev, Kharkiv, Ukraine

2 Department of Land Administration and Cadastre, Kharkiv National Agrarian University named after V.V. Dokuchayev, Kharkiv, Ukraine


The sectoral structure of most agricultural enterprises is unbalanced and uncoordinated, which underlies the need in deepened research of its improvement. This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. Mathematical economic modeling based on optimization and simulation models has been applied for the formation and evaluation of sectoral structure in agricultural enterprises. The approbation of the aforementioned models has been carried out in a certain agricultural enterprise. The simulation modeling has been used to develop a production model by the types of products that enterprise does not produce (milk, fish products and honey). The optimization model has been developed taking into account the rational use of the enterprise’s land with the prospect of livestock sector development. Obtaining the maximum net income (proceeds) from products sales has been chosen as the optimality criterion. According to calculations, the maintenance of cows is unprofitable; the production of fish and honey is profitable. Due to the diversification of the sectoral structure, the enterprise’s profitability level will increase from 16.6 to 45.8 percent. The implementation of optimization and simulation models allows to assess the existing level of sectoral structure in agricultural enterprise and to form its optimal sectoral structure with ensuring the rational use of resources and obtaining profit.


Main Subjects

Andriychuk, V.H., (2002). Ekonomika pidpryyemstv ahropromyslovoho kompleksu [Economics of Agribusiness Enterprises]. Kyiv, Kyiv national economic university. 622-654 (33 pages).

Asafiyev, G.K.; Aliyev, T.I., (2009). Sovremennyye sistemy imitatsionnogo modelirovaniya [Modern systems of simulation modeling].

Bacon, C. M.; Getz, C.; Kraus, S.; Montenegro, M.; Holland, K., (2012). The social dimensions of sustainability and change in diversified farming systems. Ecol. Soc., 17(4): 41.

Barbieri, C.; Mahoney, E., (2009). Why is diversification an attractive farm adjustment strategy? J.  Rural Stud., 25: 58–66 (9 pages).

Bartolini, F.; Andreoli, M.; Brunori, G., (2014). Explaining determinants of the on-farm diversification: empirical evidence from Tuscany region. Bio-based and Appl. Econ., 3(2): 137-157 (21 pages).

Bratushka, S.M., (2009). Imitatsiyne modelyuvannya yak instrument doslidzhennya skladnykh ekonomichnykh system [Simulation modeling as a tool for the research of complex economic systems]. Bull. Ukr. Bank. Acad., 2 (27): 113-118 (6 pages).

Chayka, Yu.M., (2013). Haluzevi transformatsiyi ekonomiky Ukrayiny [Sectoral Transformations of the Ukrainian Economy]. Sci. Bull. Poltava Univ. Econ. Trade., 4(60): 21-25 (5 pages).

Danʹko, Yu.I., (2016). Formuvannya haluzevoyi struktury pidpryyemstva z vrakhuvannyam rynkovoyi konʺyunktury na rynku ahroprodovolʹchoyi produktsiyi [Formation of the sectoral structure of the enterprise, taking into account market conditions in the market of agri-food products]. Young Sci., 7: 56-60 (5 pages).

Farafonova, N.V., (2012). Optymizatsiya vykorystannya vyrobnychykh resursiv silʹsʹkohospodarsʹkymy pidpryyemstvamy [Optimization of the use of productive resources by agricultural enterprises]. Ekon. Chasopys – XXI. Series “Ekonomika ta upravlinnya pidpryyemstvamy”, 1-2: 36-39 (4 pages).

Geisendorf, S., (2009). The influence of innovation and imitation on economic performance. Econ. Issues, 14(1): 65-94 (30 pages).

Grégory, R.; Sandholm, W., (2013). Stochastic approximations with constant step size and differential inclusions. SIAM J. Control. Optim., 51: 525–555 (31 pages).

Gavaza, Ye.V., (2014). Optmizatsiya haluzevoyi spetsializatsiyi pidpryyemstva – vyrobnyka orhanichnoyi produktsiyi [Optimization of sectoraln specialization of the enterprise – manufacturer of organic products]. Eff. Econ.: Electron. Sci. Prof. Publ., 3.

König, M.; Lorenz, J.; Zilibotti, F., (2016). Innovation vs. imitation and the evolution of productivity distributions. Theor. Econ., 11: 1053–1102 (50 pages).

Kremen, C.; Miles, A., (2012). Ecosystem services in biologically diversified versus conventional farming systems: benefits, externalities, and trade-offs. Ecol. Soc., 17 (4): 40.

Krivov'yazyuk, I.V.; Tishko, I.Ya., (2009). Imitatsionnoye modelirovaniye ekonomicheskogo rosta predpriyatiya [Simulation modeling of the economic growth of an enterprise]. Kul'tura narodov Prichernomor'ya, 162: 57-61 (5 pages).

Luttmer, E.G.J., (2012). Eventually, noise and imitation implies balanced growth. Working Paper, Fed. Reserve Bank of Minneapolis, 699.

Lysenko, M.I.; Lysenko, A.M., (2009) Udoskonalennya haluzevoyi struktury silʹsʹkohospodarsʹkykh pidpryyemstv yak odyn iz faktoriv pidvyshchennya efektyvnosti vyrobnytstva [Improvement of the sectoral structure of agricultural enterprises as one of the factors of increasing the efficiency of production]. Sci. Pap. Kyiv National Tech. Univ., Series Ekonomichni Nauky, 15: 286-292 (7 pages).

Malikov, R.F., (2012). Osnovy razrabotki komp'yuternykh modeley slozhnykh sistem: ucheb. posobiye [Basics of developing computer models of complex systems: teaching aid]. Ufa, Publishing house of Bashkir State Pedagogic University. 139-207 (69 pages).

Neogy, S.K.; Bapat, R.B.; Das, A.K., (2016). Optimization models with economic and game theoretic applications.  Ann. Oper. Res., 243(1–2): 1–3 (3 pages). 

Semenova, T.G., (2011). Postroyeniye modeli otraslevoy strategii razvitiya na osnove yeye garmonizatsii [Building a model of sectoral development strategy based on its harmonization]. Bull. Saint Petersburg State Univ. Econ., Series Ekonomika, 5(48): 348-352 (5 pages).

Smagina, A.B., (2010). Izmereniye urovnya spetsializatsii sel'skokhozyaystvennogo predpriyatiya [Measurement of the level of specialization of agricultural enterprise]. Bull. Michurinsky State Agrar. Univ.: Sci. Prod. J., 2: 56-62 (7 pages).

Tkachuk, V.I., (2016). Haluzeva struktura silʹsʹkohospodarsʹkykh pidpryyemstv v konteksti intehratsiyi Ukrayiny v Yevropeysʹkyy Soyuz [Sectoral structure of agricultural enterprises in the context of Ukraine's integration into the European Union]. Bull. Kharkiv National Agrar. Univ., Series Ekonomichni Nauky, 1: 46-56 (11 pages).

Tomilin, O.O., (2012). Dyversyfikatsiya ahrarnoho vyrobnytstva yak napryam optymizatsiyi mizhhaluzevykh vidnosyn [Diversification of agrarian production as a direction of optimization of inter-industry relations]. Formation of a competitive economy: theoretical, methodological and practical principles. Mater. Int. Sci. Pract. Internet conf. Ternopil. 226-228 (3 pages). 

Letters to Editor

GJESM Journal welcomes letters to the editor for the post-publication discussions and corrections which allows debate post publication on its site, through the Letters to Editor. Letters pertaining to manuscript published in GJESM should be sent to the editorial office of GJESM within three months of either online publication or before printed publication, except for critiques of original research. Following points are to be considering before sending the letters (comments) to the editor.

[1] Letters that include statements of statistics, facts, research, or theories should include appropriate references, although more than three are discouraged.
[2] Letters that are personal attacks on an author rather than thoughtful criticism of the author’s ideas will not be considered for publication.
[3] Letters can be no more than 300 words in length.
[4] Letter writers should include a statement at the beginning of the letter stating that it is being submitted either for publication or not.
[5] Anonymous letters will not be considered.
[6] Letter writers must include their city and state of residence or work.
[7] Letters will be edited for clarity and length.