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Improvement of analytical support of economic security management of the agricultural enterprises

Journal: Agricultural and Resource Economics: International Scientific E-Journal (Vol.7, No. 3)

Publication Date:

Authors : ; ; ; ; ;

Page : 123-141

Keywords : economic security; accounting and analytical support; analytical support; integral assessment; management; risks and threats;

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Abstract

Purpose. Under the conditions of strengthening of the destructive effects of the global economic crisis and the growing number of risks of agribusiness, there is a problem in finding the ways to improve accounting and analytical support as the only reliable source of the relevant and accurate information needed for economic security management. The purpose of the article is to substantiate the directions to improve the analytical basis as a component of accounting and analytical support of economic security management of the agricultural enterprises. Methodology / approach. The methodological basis of the research is a dialectical method of cognition of the complex economic phenomena. Consideration of the analytical support of complex management processes took place using a systematic approach, analysis and synthesis. Using an integral approach, a methodology for assessing and analyzing economic security of the agricultural enterprises is developed. This methodology approach includes the parameters of financial, social, resource and environmental security. Results. The analysis of the theoretical and methodological foundations of accounting and analytical support of economic security management showed a variety of the approaches to the choice of the indicators that describe the level of economic security. The situation is complicated by the need to analyze the information that may be relevant for management decisions in conditions of uncertainty. Under these conditions, it is proposed to implement a model of analytical support for economic security management under conditions of uncertainty and growing risks and threats to the business environment of the agricultural enterprises, which should be based on the use of general economic, statistical, integral and econometric approaches. It is determined that in the process of counteracting the risks and threats of the external and internal environment of the agrarian business the use of the integral methods of assessing economic security of the agricultural enterprises becomes crucial. It is substantiated that the most expedient in terms of achieving strategic goals of the enterprise, maintaining its competitive advantages and ensuring sustainable development is the use of integral assessment of economic security, which should be based on a synergistic approach to analysis of 25 indicators of financial, social, resource and environmental components. The approach was tested on the example of 24 agricultural enterprises of Kharkiv region (Ukraine) of crop specialization (2019). The model is also used to analyze the dynamics of the level of economic security under conditions of individual agricultural enterprises of different organizational and legal forms of management (2014–2019). Originality / scientific novelty. According to the results of the research, a methodological approach to determination of the integral level of economic security of the agricultural enterprises has been improved, based on the impact of the indicators of its individual components, which, at the same time, improves the analytical support of economic security management and strengthens verification, forecasting, preventive, planning and control functions of accounting and analytical support of management mechanisms. Practical value / implications. The practical significance of the proposed approaches consists of the possibility of positioning the enterprises in terms of optimal, satisfactory, shaky and crisis economic security zones, as well as analyzing the dynamics of the integral level of economic security, which takes into consideration the causal relations of the key areas of the agrarian business under conditions of uncertainty.

Last modified: 2022-01-10 04:53:06