Forecasting the state of agricultural enterprises based on the results of economic diagnostics
This article is devoted to the study of information support and methodological tools for economic diagnostics of agricultural enterprises, based on the results of which the cost of resource potential predicted. Determined the factors of influence of the internal and external environment on forecasting the cost resource potential of agricultural enterprises. The methodological toolkit for forecasting the cost resource potential of agricultural enterprises used, taking into account the extrapolation of indicators and the coefficient of change. Built the economic-mathematical models for forecasting the general potential of agricultural enterprises in Ukraine. Proposed the scheme of forecasting the state of agricultural enterprises and complex information support the stages of making managerial decisions by the management of agricultural enterprises. For agricultural enterprises of Ukraine, promising directions for the development of economic activities are proposed.
Bezpartochna, O., Britchenko I., Jarosz P. & Radochonska-Jarosz, R. (2019). Study of the modern production and economic relations of the enterprises of agricultural complex in Poltava region, Organizational-economic mechanism of management innovative development of economic entities: collective monograph, Higher School of Social and Economic. Przeworsk, WSSG, 142-153, ISBN 978-83-937354-6-4.
Bezpartochna, O. & Britchenko, I. (2020). Diagnostics the economic efficiency of agricultural enterprises, New trends in the economic systems management in the context of modern global challenges: collective monograph, VUZF University of Finance, Business and Entrepreneurship, VUZF Publishing House “St. Grigorii Bogoslov”, 267-277, ISBN 978-954-8590-85-3.
David, A., Bessler & Jon, A., Brandt (1981). Forecasting livestock prices with individual and composite methods, Applied Economics, 13:4, 513-522, DOI: 10.1080/00036848100000016.
Ensslin, L., Dezem, V., Dutra, A., Ensslin, S. & Somensi, K. (2017). Management support for agricultural enterprises: a case study for a fruit-producing company, International Food and Agribusiness Management Review, 20(4), 493-510, DOI: 10.22434/IFAMR2016.0152.
Erlina, R. & Rialdi, A. (2020). Forecasting model of agriculture commodity of value export of coffee: application of Arima model, Journal Teknik Pertanian Lampung, 9:3, 257-263, DOI: 10.23960/jtep-l.v9.i3.257-263.
Faure, G., Knierim, A., Koutsouris, A., Ndah, H., Audouin, S., Zarokosta, E. & Heanue, K. (2019). How to Strengthen Innovation Support Services in Agriculture with Regard to Multi-Stakeholder Approaches, Journal of Innovation Economics & Management, 1(1), 145-169. DOI: 10.3917/jie.028.0145
Geoffrey, P., Allen (1994). Economic forecasting in agriculture, International Journal of Forecasting, 10, 81-135, DOI: 10.1016/0169-2070(94)90052-3.
Global Trends to 2035. Geo-politics and international power, Oxford Analytica, September 2017. Available from: https://www.oxan.com/media/1969/global-trends-to-2035-geopolitics-and-power.pdf. ISBN 978-92-846-1494-3, DOI: 10.2861/800293.
Haoxiong, Yang & Jing, Hu (2013). Forecasting of Fresh Agricultural Products Demand Based on the ARIMA Model Advance, Journal of Food Science and Technology, 7, 855-858, DOI: 10.19026/ajfst.5.3172.
Krutz, G., Iwashita, M. & Doster, D. (1986). Forecasting Farm Equipment Sales in a Declining Market, SAE Technical Paper 861248, DOI: 10.4271/861248.
Látečková, A., Bolek, V. & Szabo, Ľ. (2018). Information Systems in Agricultural Enterprises: An Empirical Study in Slovak Republic, AGRIS on-line Papers in Economics and Informatics, 10:2, 49-60, DOI: 10.7160/aol.2018.100105
Nikhila, G. & Padma, K. (2019). Forecasting agricultural commodity pricing using neural network-based approach, International Journal of Business Information Systems, 3:4, 517-529, DOI: 10.1504/IJBIS.2019.101584.
Tomšík, P. & Svoboda, E. (2010). Diagnostics and decision-making of the company management within the period of economic crisis and recession, Agric. Econ, 56, 303-309, DOI: 10.17221/53/2010-AGRICECON.
Walters, Jeffrey P., Archer, David, W., Sassenrath, Gretchen, F., Hendrickson, John R., Hanson, Jon, D., Halloran, John, M., Vadas, Peter, Alarcon, Vladimir, J. (2016). Exploring agricultural production systems and their fundamental components with system dynamics modelling, Ecological Modelling, 333, 51-65.
Zeigler, R. & Mohanty, S. (2010). Support for international agricultural research: current status and future challenges, N Biotechnol, 27(5), 565-72, DOI: 10.1016/j.nbt.2010.08.003
Abstract views: 127 PDF Downloads: 176