MULTI-SCALE MODEL ELABORATION FOR CREDITWORTHINESS DIAGNOSTICS OF EXPORT PRODUCTION ENTERPRISES OF THE AGRICULTURAL TRADE MARKET
Olena Sergienko,
Olena Shapran,
Oleksandr Bilotserkivskyi and
Iryna Alieksieieva
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Olena Sergienko: National Technical University «Kharkiv Polytechnic Institute»
Olena Shapran: National Technical University «Kharkiv Polytechnic Institute»
Oleksandr Bilotserkivskyi: National Technical University «Kharkiv Polytechnic Institute»
Iryna Alieksieieva: National Technical University «Kharkiv Polytechnic Institute»
EUREKA: Social and Humanities, 2019, issue 6, 19-30
Abstract:
The methodology for the agrarian enterprises’ creditworthiness diagnostic has been developed and implemented, and has allowed to solve the following objectives: conducting of observations and evaluating of financially-economic indicators, classification of enterprises by the level of creditworthiness, distinction and identification enterprises according to the level of creditworthiness and assessing the differences between classes by creditworthiness, with taking into account the sizes of enterprises. Based on the use of the complex of multidimensional analytical methods, the differences are defined under either one-dimensional evaluation system (by creditworthiness and size) or a two-level assessment of the joint cross impact of factors on creditworthiness. The proposed four-step technology for diagnosing of the agrarian enterprises creditworthiness substantially expands the components of the creditworthiness level evaluation of enterprises and, as a consequence, improves the timeliness of decision-making process about identifying and locating of weaknesses and "bottlenecks". The coverage of a sufficient number of financial and economic indicators and the implementation of a wide range of methods and models enable to fully evaluate and analyze the existing state of creditworthiness with a view to improve and establish the effective functioning of the enterprise as a whole.
Keywords: diagnostic model; creditworthiness; agrarian enterprises; indicators; multidimensional methods; multi-scale modeling; classification; discriminant analysis; cluster analysis; dispersion analysis (search for similar items in EconPapers)
Date: 2019-12-02
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:nos:social:y:2019:i:6:p:19-30
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