Methodological approach to the credit worthiness estimation of counterparties at mining enterprises
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- Category: Content №4 2021
- Last Updated on 23 August 2021
- Published on 30 November -0001
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Authors:
Ye.V.Kylnytska, orcid.org/0000-0002-0586-820X, Kharkiv National University of Civil Engineering And Architecture, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
S.V.Gluhova, orcid.org/0000-0002-8178-7532, National Technical University Kharkiv Polytechnic Institute, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.M.Kitchenko, orcid.org/0000-0002-3868-5653, National Technical University Kharkiv Polytechnic Institute, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (4): 133 - 138
https://doi.org/10.33271/nvngu/2021-4/133
Abstract:
Purpose. Development of a comprehensive methodological approach to the credit worthiness estimation of counterparties in the mining industry as a part of a conservative credit policy.
Methodology. The tasks set in the article have been solved by using modern general scientific and special methods: abstract and logical method for the implementation of theoretical generalizations, the conclusions and recommendations formation; the hierarchy analysis method to justify the priority of structural parameters for credit worthiness estimation of counterparties of mining enterprises. Moreover, the authors own previous research results regarding receivables management are used.
Findings. The structural parameter priority of the credit worthiness estimation of counterparties at mining enterprises within the conservative credit policy has been propose`d, which is substantiated by the hierarchy analysis method. Synthesizing the formed hierarchical model and theoretical achievements on the issues of receivables management, a structural and logical sequence of the credit worthiness estimation of counterparties of mining enterprises has been developed.
Originality. A comprehensive methodological approach to the credit worthiness estimation of counterparties in the mining industry within a conservative credit policy has been developed. Compared to the existing ones, it is a clear algorithm of estimation stages based on a hierarchical model of structural parameters of credit worthiness estimation. The advantages of the authors development are: system flexibility at the stage of formation of criterion base and structural components; clear formalization of results; detailed structuring of evaluation parameters; the possibility of forming a clear unambiguous conclusion about the credit worthiness estimation of counterparties of mining enterprises; compliance of the methodological tools of the estimation system to current trends in the mining industry.
Practical value. A comprehensive methodological approach to the credit worthiness estimation of counterparties in the mining industry is used to achieve the effective planning, regulation, control, rational organization of relations in the field of cash flow.
Keywords: credit worthiness, evaluation, credit policy, receivables, mining industry
References.
1. State Statistics Service of Ukraine (n.d.). Number of economic entities by type of economic activity (20132018). Retrieved from http://www.ukrstat.gov.ua.
2. State Statistics Service of Ukraine (n.d.). Volume of output of products (goods, services) of economic entities by types of economic activity (20132018). Retrieved from http://www.ukrstat.gov.ua.
3. State Statistics Service of Ukraine (n.d.). Costs of production of products (goods, services) of enterprises by type of economic activity (20122018). Retrieved from http://www.ukrstat.gov.ua.
4. State Statistics Service of Ukraine (n.d.). Current assets of enterprises by type of economic activity. Retrieved from http://www.ukrstat.gov.ua.
5. Singh, M., & Dixit, G.K. (2018). Modeling Customers Credit Worthiness using Enhanced Ensemble Model. International Journal of Computer Sciences and Engineering, 6(7), 1466-1470. https://doi.org/10.26438/ijcse/v6i7.14661470.
6. Mills, K.G. (2018). Small Businesses and Their Banks: The Impact of the Great Recession. In: Fintech, Small Business & the American Dream. Palgrave Macmillan, Cham, 27-41. https://doi.org/10.1007/978-3-030-03620-1_3.
7. Sukhanova, A.V., Puhalskaya, N.A., & Chernyi, B.S. (2018). Modern methods for evaluating the credit capacity of a borrower of banking institutions. Ekonomika i suspilstvo, 18, 821-826. https://doi.org/10.32782/2524-0072/2018-18-114.
8. Yudina, S.V., & Nagornyuk, A.O. (2020). Comparisons of household credit evaluation models. Intellect XXI, 1, 98-103. https://doi.org/10.32782/2415-8801/2020-1.17.
9. Syrchyn, O.L. (2018). Theoretical basis for assessing the creditworthiness of bank borrower. Socio-Economic Research Bulletin, 1(65), 153-160. https://doi.org/10.33987/vsed.1(65).2018.153-160.
10. Markovych, T. (2019). Theoretical and methodological approaches to transformation of the active methodology for assessing creditworthiness of potential borrowers of commercial banks. Visnyk Kharkivskoho natsionalnoho ahrarnoho universytetu im. V.V.Dokuchayeva. Seriya: Ekonomichni nauky, 1, 224-236. https://doi.org/10.31359/2312-3427-2019-1-224.
11. Tomchuk, E.F., & Sydorenko, I.M. (2019). Methods of conducting an account of debt receivables in the enterprise management system. Finanse, counting, banks, 1(24), 94-101. https://doi.org/10.31558/2307-2296.2019.1.10.
12. Shkileva, A.A. (2018). Assessing the creditworthiness of construction enterprises by different method. International Journal of Engineering & Technology, 7(3), 1308-1310. https://doi.org/10.14419/ijet.v7i3.14229.
13. Panchenko, O.M., & Peresypkina, A.V. (2018). Assessment of creditworthiness in the system of internal control of the enterprise. Efektyvna ekonomika, 11. https://doi.org/10.32702/2307-2105-2018.11.91.
14. Kylnytska, Ye.V. (2018) Implementation of differentiated credit policy at mining enterprises. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2), 169-177. http://doi.org/10.29202/nvngu/2018-2/17.
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