Diagnostics of the State of Agricultural Enterprises Financial Security

Abstract

In the conditions of rapid changes in the modern market environment, it is extremely important for agricultural enterprises to respond in a timely manner to threats to their financial security. Therefore, economic diagnostics is of significant methodological importance, and makes it possible to learn about economic problems and interpret the results of enterprises activity that have certain deviations from the norm or the state required for the enterprise. The subject of the study is a set of theoretical, methodological and practical aspects of diagnosing the state of financial security of enterprises. The purpose of the article is to diagnose the state of financial security of agricultural enterprises on the basis of the proposed methodological approach and to substantiate proposals for its improvement. The methodological basis of the diagnostics used in the study was: methods of theoretical generalizations, financial analysis, scoring method, analysis of dynamics and structure, linear programming. The article reveals the tasks and areas of management of Ukrainian agricultural enterprises with an emphasis on the protection of their specific financial interests – ensuring liquidity, solvency, financial stability, autonomy and others. For research purposes all Ukrainian agricultural enterprises were classified on the size of the net income. The system of indicators for diagnostics of financial security of the agricultural enterprises was offered. The basic structural elements of the mechanism of financial security management were substantiated. According to the diagnosis results, it was found that the state of financial security of large enterprises in 2018-2019 has deteriorated and it has had a negative impact on their solvency. Instead, the financial security of small and medium-sized enterprises has improved. Based on the experience of developed countries, proposals for public policy instruments to promote financial security of agricultural enterprises were proposed.

Risk Assessment Method of Agricultural Management Investment Based on Genetic Neural Network

“…In formulas (4) and (5), α is the learning rate, usually the value [0-0.1], adjusted according to the actual situation. It can be seen from the above formula that the key to the backpropagation algorithm is to calculate the partial derivative of the loss function J(w, b) to the weight w and the bias b.…”

“…It can change the current situation of the economy and science and technology and organically combine economy and science and technology. erefore, it plays a role of link [4,5]. However, with the rapid economic development, the international competition of agricultural enterprises is becoming increasingly fierce, which increases various uncertain factors, and various risks faced by agricultural operation and investment are also complex.…”