Improvement of Assessment Mechanism of Agricultural Enterprises Creditworthiness in Conditions of National Specificity

  • Natalia Glebovna SAPOZHNIKOVA Voronezh State University, Voronezh
  • Yelena Alekseyevna BATISHCHEVA Stavropol State Agrarian University Russian Federation, Stavropol
  • Tatyana Nikolayevna STEKLOVA Stavropol State Agrarian University Russian Federation, Stavropol
  • Irina Anatolyevna DEMCHENKO Stavropol State Agrarian University Russian Federation
  • Anastasia Yuryevna KALNAYA Technological Institute of Service (branch) of Federal State Budgetary Educational Institution of Higher Education ‘Don State Technical University’ in Stavropol, Stavropol

Abstract

Efficiency in companies’ management in current economic reality is largely determined by the quality of produced information and analytical base for decision-making. Fundamentally different targets appear upon a researcher during integrated assessment of financial condition of the enterprise, depending on which, all analytical steps should be separated according to the principle of the greatest information relevance for appropriate decision-making. This is particularly important in conditions of optimal tools development necessity for business management with crisis phenomena in the economy. This article analyzes the effectiveness of discriminant factorial models used to predict bankruptcy of organization, as well as reveals the mechanism of author's scoring evaluation of business entities creditworthiness, allowing diagnosing the financial status of an organization with a view to management decision-making. In addition, the authors identified specific features of agrarian sector enterprises functioning in Russia, which require financial analysis tools improvement in relation to industrial-technological specifics of agricultural production.

References

[1] Bobryshev, A.N., Golchenko, Y.V., and Kazakov, M.Y. 2014. Directions of municipal territorial and economic transformation in a monopolar highly urbanized region. Current economic problems, 2(152): 230 – 238.
[2] Bobryshev, A.N. et al. 2014. Analytical and management approaches to modeling of the accounting balance sheet. Life Sci J., 11(8): 502-506.
[3] Boguslauskas, V., and Adlyte, R. 2010. Evaluation of criteria for the classification of enterprises. Engineering Economics, (2): 119-127.
[4] Bobryshev, A.N., et al. 2015. The Concept of Management Accounting in Crisis Conditions. Journal of Advanced Research in Law and Economics, 3(13): 520 – 527.
[5] Bobryshev, A.N. et al. 2015. Management Accounting in Russia: Problems of Theoretical Study and Practical Application in the Economic Crisis. Journal of Advanced Research in Law and Economics, 3(13): 511 – 519.
[6] Davis, E.P., and Stone, M.R. 2005. Corporate financial structure and financial stability. Journal of Financial Stability, 1 (1): 65-91.
[7] El'chaninova, O.V., Tatarinova, M.N., Grishanova, S.V., Germanova, V.S. and Debeliy, R.V. (2014). Evaluation of Investment Activity of Rural Territory of the South of Russia. American-Eurasian Journal of Sustainable Agriculture, 8(9): 7-10.
[8] Gerasimov, A.N., Gromov, E.I., and Gulay T.A. 2015. Forecasting the indicators of socioeconomic development of the North Caucasus federal district. Actual Problems of Economics, 163 (1): 243-253.
[9] Hammer, M. 2001. The superefficient company. Harvard Business Review, 79 (8): 82-91.
[10] Ho, G.T.S., Choy, K.L., Chung, S.H., and Lam, C.H.Y. 2010. An examination of strategies under the financial tsunami. Industrial Management and Data Systems, 110 (9): 1319-1336.
[11] Ho, G.T.S., Choy, K.L., Chung, S.H., and Lam, C.H.Y. 2010. An examination of strategies under the financial tsunami. Industrial Management and Data Systems, 110 (9): 1319-1336.
[12] Kaplan, R.S., and Norton, D.P. 1992. The balanced scorecard--measures that drive performance. Harvard Business Review, 70 (1): 71-79
[13] Kyurdzhiev, S.P., Mambetova, A.A., and Peshkova, E.P. 2016. An integral evaluation of the financial state of the regional enterprises. Economy of Region, (2): 586-601.
[14] Larcker, D.F. 2003. Coming up Short on Nonfinancial Performance Measurement. Harvard Business Review, 81 (11): 88-95.
[15] Libby, T., Salterio, S.E., and Webb, A. 2004. The balanced scorecard: The effects of assurance and process accountability on managerial judgment. Accounting Review, 79 (4): 1075-1094.
[16] Litvin, D. B. et al. 2015. Monitoring of the Parameters of Intra-Industrial Differentiation of the Primary Industry of the Traditionally Industrial Region of Southern Russia. Journal of Advanced Research in Law and Economics, 3(13): 606 – 615.
[17] Martinsons, M., Davison, R., and Tse, D. 1999. The balanced scorecard: A foundation for the strategic management of information systems. Decision Support Systems, 25 (1): 71-88.
[18] Qu S.Q., and Cooper D.J. 2011. The role of inscriptions in producing a balanced scorecard. Accounting, Organizations and Society, 36 (6): 344-362.
[19] Slabinskaya, I.A., Benderskaya, O.B., Mitrokhin, A.A., and Truhin, A.S. 2015. Methods of company financial stability monitoring. International Business Management, 9 (6): 1091-1096.
[20] Tisdell, C. 1996. Economic indicators to assess the sustainability of conservation farming projects: An evaluation. Agriculture, Ecosystems and Environment, 57 (2-3): 117-131.
[21] Tlessova, E.B., Shalbolova, U.Z., and Berzhanova, A.M. 2016. Financial stability diagnostics for construction enterprises. Actual Problems of Economics, 180 (6): 357-367.
[22] Yakubiv, V. 2015. Accounting and analytical methods of diagnostics improvement for enterprises’ organizational development. Economic Annals-XXI, 3-4(1): 68-71.
Published
2017-08-20
How to Cite
SAPOZHNIKOVA, Natalia Glebovna et al. Improvement of Assessment Mechanism of Agricultural Enterprises Creditworthiness in Conditions of National Specificity. Journal of Advanced Research in Law and Economics, [S.l.], v. 8, n. 2, p. 581 - 590, aug. 2017. ISSN 2068-696X. Available at: <https://journals.aserspublishing.eu/jarle/article/view/1337>. Date accessed: 29 mar. 2024.