Controlling, monitoring and diagnostics in identifying effective management practices of agricultural enterprises


Keywords: control, monitoring, diagnostics, statistical decision theory, decision making under uncertainty, crop structure, management.

Abstract

Purpose. The purpose of the study – taking into account the functional load of the system of controlling, monitoring and diagnostics, to determine a methodical approach to performance control in the process of monitoring production parameters of agricultural enterprises’ functioning and diagnosing problematic aspects of financial and economic results to justify management decisions when planning promising production programs.

Methodology / approach. Studies were conducted on the basis of general scientific methods (in the study of the theoretical basis of the functions of controlling, monitoring, and diagnostics of management activities in ensuring the effectiveness of management decisions in planning the sown areas structure), abstract-logical (to generalize the influence features of intensive crops use degree on the effectiveness of the grain direction of agricultural enterprises), economic and mathematical (to identify the optimal strategy in terms of information uncertainty in the agricultural enterprise management associated with the presence of faintly structured problems), statistical methods (statistical solutions theories for modeling the mechanism of crops interaction in given conditions of natural resources), and constructive (determining the method of substantiation of optimal resources flows and results of activities in order to maximize the profitability in the condition of the constancy of the resource base). The methodological basis in processing material is the dialectical method of social and economic phenomena perception.

Results. In the course of the research, the conditions of formation of effective system of agriculture entities and diagnostics prerequisites of possible management actions to ensure sustainable profitability were analyzed. It is established that a critical increase in the sunflower share in crops is a reactive behavior of management practice in the conditions of the Luhansk region. The dependence of management decisions on planning the structure of sown areas by the perception of favorable economic conditions is proved according to the diagnostic analysis. The main parameters of statistical modeling for the implementation of diagnostic functions for identifying probable management actions in ensuring sustainable profitability of enterprises are determined.

Originality / scientific novelty. The scientific novelty of the presented research is to improve the methodological approach to the implementation of controlling, monitoring and diagnostic functions in the process of substantiation of a promising production program of an agricultural enterprise in these conditions, which, unlike existing ones, is based on the methodology of statistical decision theory, high financial and economic efficiency in the study of information (parameters) about the technological discipline, which has no clear mathematical (regression) relationship.

Practical value / implications. As a promising task for the development of the system of controlling, monitoring and diagnostics, it is determined the formation of mechanisms for programming the development of grain farming as the main specialization direction in the steppe conditions of Luhansk region on the principles of sectoral competitiveness, which will partially eliminate the reactivity of the management system of agricultural enterprises.

References

1. Горлачук В. В., В’юн В. Г., Сохнич А. Я. Управління земельними ресурсами. Миколаїв: НаУКМА, 2002. 316 с.
2. Петраковська О. С. Методи управління земельними ресурсами. Містобудування та територіальне планування. 2005. № 21. С. 261–268.
3. Руденко В. П, Руденко С. В. Оцінка природно-ресурсного потенціалу України як основа менеджменту природоохоронної діяльності: моногр. Чернівці: ЧНУ, 2014. 248 с.
4. Гуторов О. І., Шарко І. О. Оцінка земель і ресурсного потенціалу в сільському господарстві: теоретичні та практичні підходи: моногр. Харків: ХНАУ, 2012. 255 с.
5. Lupenko Y. O., Gutorov A. O. and Gutorov O. I. Investment ensuring for development of integration relations in the agricultural sector of Ukrainian economy. Financial and Credit Activity: Problems of Theory and Practice. 2018. Vol. 4. No. 27. Pp. 381–389. https://doi.org/10.18371/fcaptp.v4127.154221.
6. Long H., Qu Y. Land use transitions and land management: a mutual feedback perspective. Land Use Policy. 2018. Vol. 74. Pp. 111–120. https://doi.org/10.1016/j.landusepol.2017.03.021.
7. Izakovicová Z., Špulerová J., Petrovic F. Integrated approach to sustainable land use management. Environments. Vol. 5(3). 37. https://doi.org/10.3390/environments5030037.
8. Tuğrul K. M. Soil management in sustainable agriculture. Sustainable crop production; ed. M. Hasanuzzaman. Intech Open, 2019. https://doi.org/10.5772/intechopen.88319.
9. Будзяк В. М. Сільськогосподарське землекористування: проблеми та шляхи їх вирішення: моногр. Київ: Аграр Медіа Груп, 2011. 299 c.
10. Саблук П. Т., Федоров М. М., Месель-Веселяк В. Я. та ін. Трансформація земельних відносин до ринкових умов. Київ: ННЦ «ІАЕ», 2009. 116 с.
11. Гунько Л. А. Формування типів сільськогосподарських землекористувань в умовах нових земельних відносин. Формування ринкових відносин в Україні. 2013. № 12. С. 128–133.
12. Вітлінський В. В., Верченко П. І. Аналіз, моделювання та управління економічним ризиком. Київ: КНЕУ, 2008. 292 с.
13. Василенко В. О. Теорія і практика розробки управлінських рішень. Київ: ЦУЛ, 2003. 419 с.
14. Клименко С. М. Обґрунтування господарських рішень та оцінка ризиків. Київ: КНЕУ, 2014. 252 с.
15. Кривов’язюк І. В., Пахольчук А. І. Процес прийняття господарських рішень та його вплив на ефективність діяльності підприємства. Ефективна економіка. 2013. № 4. URL: http://www.economy.nayka.com.ua/?op=1&z=1962.
16. Судакова О. І. Обґрунтування господарських рішень в умовах невизначеності та ризику. Математичні методи, моделі та інформаційні технології в економіці. 2012. № 3(34). С. 158–162.
17. Levkina R. V., Kravchuk I. I., Sakhno I. V., Kramarenko K. M., Shevchenko A. A. The economic-mathematical model of risk analisis in agriculture in conditions of uncertainty. Financial and Credit Activity: Problems of Theory and Practice. 2019. Vol. 3. No. 30. P. 248–255. https://doi.org/10.18371/fcaptp.v3130.179560.
18. Nitsenko V. S., Havrysh V. I. Enhancing the stability of a vertically integrated agro-industrial companies in the conditions of uncertainty. Actual Problems of Economics. 2016. No. 10(184). Р. 167–172.
19. Komarek A. M., De Pinto A., Smith V. H. A review of types of risks in agriculture: what we know and what we need to know. Agricultural Systems. 2020. Vol. 178. 102738. https://doi.org/10.1016/j.agsy.2019.102738.
20. González X., Bert F., Podestá G. Many objective robust decision making model for agriculture decisions (MORDMAgro). International Transactions in Operational Research. 2020. https://doi.org/10.1111/itor.12898.
21. Liu T., Bruins R. J. F., Heberling M. T. (2018) Factors influencing farmers’ adoption of best management practices: a review and synthesis. Sustainability. 2018. Vol. 10(2). 432. https://doi.org/10.3390/su10020432.
22. Jankelova N., Masar D., Moricova S. Risk factors in the agriculture sector. Agricultural Economics – Czech. 2017. Vol. 63. Pp. 247–258. https://doi.org/10.17221/212/2016-AGRICECON.
23. Про затвердження нормативів оптимального співвідношення культур у сівозмінах в різних природно-сільськогосподарських регіонах: Постанова Кабінету Міністрів України від 11.02.2010 р. № 164. URL: http://search.ligazakon.ua/l_doc2.nsf/link1/KP100164.html.
24. Офіційний сайт Головного управління статистики у Луганській області. URL: http://www.lg.ukrstat.gov.ua.
25. Таха Х. А. Введение в исследование операций. Москва: Изд. дом «Вильямс», 2001. 912 с.

References
1. Horlachuk, V. V., V’iun, V. H. and Sokhnych, A. Ya. (2002), Upravlinnia zemelnymy resursamy [Land resources management], NaUKMA, Mykolaiv, Ukraine.
2. Petrakovska, O. S. (2005), Methods of land management. Mistobuduvannia ta terytorialne planuvannia, vol. 21, pp. 261–268.
3. Rudenko, V. P. and Rudenko, S. V. (2014), Otsinka pryrodno-resursnoho potentsialu Ukrainy yak osnova menedzhmentu pryrodookhoronnoi diialnosti [Assessment of natural resource potential of Ukraine as a basis for environmental management], Chernivtsi, ChNU, Ukraine.
4. Gutorov, O. I. and Sharko, I. O. (2012), Otsinka zemel i resursnoho potentsialu v silskomu hospodarstvi: teoretychni ta praktychni pidkhody [Assessment of land and resource potential in agriculture: theoretical and practical approaches], KhNAU, Kharkiv, Ukraine.
5. Lupenko, Y. O., Gutorov, A. O. and Gutorov, O. I. (2018), Investment ensuring for development of integration relations in the agricultural sector of Ukrainian. Economy Financial and Credit Activity: Problems of Theory and Practice, vol. 4, no. 27, pp. 381–389. https://doi.org/10.18371/fcaptp.v4127.154221.
6. Long, H. and Qu, Y. (2018), Land use transitions and land management: a mutual feedback perspective. Land Use Policy, vol. 74, pp. 111–120. https://doi.org/10.1016/j.landusepol.2017.03.021.
7. Izakovicová, Z., Špulerová, J. and Petrovic, F. (2018), Integrated approach to sustainable land use management. Environments, vol. 5(3), 37. https://doi.org/10.3390/environments5030037.
8. Tuğrul, K. M (2019), Soil Management in Sustainable Agriculture in Sustainable Crop Production ed. M. Hasanuzzaman. Intech Open. https://doi.org/10.5772/intechopen.88319.
9. Budziak, V. M. (2011), Silskohospodarske zemlekorystuvannia: problemy ta shliakhy yikh vyrishennia [Agricultural land use: problems and ways to solve them], Ahrar Media Hrup, Kyiv, Ukraine.
10. Sabluk, P. T., Fedorov, M. M., Mesel-Veseliak, V. Ya. et al. (2009), Transformatsiia zemelnykh vidnosyn do rynkovykh umov [Transformation of land relations to market conditions], NSС «IAE», Kyiv, Ukraine.
11. Hunko, L. A. (2013), Formation of types of agricultural land use in the conditions of new land relations. Formuvannia rynkovykh vidnosyn v Ukraini, vol. 12, pp. 128–133.
12. Vitlinskii, V. V. and Verchenko, P. I. (2008), Analiz, modeliuvannia ta upravlinnia ekonomichnym ryzykom [Analysis, modeling and management of economic risk], KNEU, Kyiv, Ukraine.
13. Vasylenko, V. O. (2003), Teoriia i praktyka rozrobky upravlinskykh rishen [Theory and practice of developing management decisions], TsUL, Kyiv, Ukraine.
14. Klymenko, S. M. (2014), Obgruntuvannia hospodarskykh rishen ta otsinka ryzykiv [Substantiation of business decisions and risk assessment], KNEU, Kyiv, Ukraine.
15. Kryvoviaziuk, I. V. and Pakholchuk, A. I. (2013), The process of making business decisions and its impact on the efficiency of the enterprise. Efektyvna ekonomika, vol. 4. URL: http://www.economy.nayka.com.ua/ ?op=1&z=1962.
16. Sudakova, O. I. (2012), Substantiation of business decisions in conditions of uncertainty and risk. Matematychni metody, modeli ta informatsiini tekhnolohii v ekonomitsi, vol. 3(34), pp. 158–162.
17. Levkina, R. V., Kravchuk, I. I., Sakhno, I. V., Kramarenko, K. M. and Shevchenko, A. A. (2019), The economic-mathematical model of risk analisis in agriculture in conditions of uncertainty. Financial and Credit Activity: Problems of Theory and Practice, vol. 3, no. 30, pp. 248–255. https://doi.org/10.18371/fcaptp.v3130.179560.
18. Nitsenko, V. S. and Havrysh, V. I. (2016), Enhancing the stability of a vertically integrated agro-industrial companies in the conditions of uncertainty. Actual Problems of Economics, no. 10(184), pp. 167–172.
19. Komarek, A. M., De Pinto, A., and Smith, V. H. (2020), A review of types of risks in agriculture: what we know and what we need to know. Agricultural Systems, vol. 178, 102738. https://doi.org/10.1016/j.agsy.2019.102738.
20. González, X., Bert, F. and Podestá, G. (2020), Many objective robust decision making model for agriculture decisions (MORDMAgro). International Transactions in Operational Research. https://doi.org/10.1111/itor.12898.
21. Liu, T, Bruins, R. J. F., and Heberling, M. T. (2018), Factors influencing farmers’ adoption of best management practices: a review and synthesis. Sustainability, vol. 10(2), 432. https://doi.org/10.3390/su10020432.
22. Jankelova, N., Masar, D., and Moricova, S. (2017), Risk factors in the agriculture sector. Agricultural Economics – Czech, vol. 63, pp. 247–258. https://doi.org/10.17221/212/2016-AGRICECON.
23. Cabinet of Ministers of Ukraine (2010), Resolution of the Cabinet of Ministers of Ukraine “On approval of standards for the optimal ratio of crops in crop rotations in different natural and agricultural regions”, available at: http://search.ligazakon.ua/l_doc2.nsf/link1/ KP100164.html.
24. Official site of the Main Department of Statistics in Luhansk region, available at: http://www.lg.ukrstat.gov.ua.
25. Taha, H. A. (2001), Vvedenie v issledovanie operacij [Introduction to operations research], Williams Publishing House, Moscow, Russia.
Published
2021-06-20
How to Cite
Fedicheva, K., Kochetkov, O., Honcharenko, S., Levkina, R., & Bichevin, M. (2021). Controlling, monitoring and diagnostics in identifying effective management practices of agricultural enterprises. Agricultural and Resource Economics: International Scientific E-Journal, 7(2), 200-218. https://doi.org/10.51599/are.2021.07.02.11
Section
Articles