The article covers issues of bankruptcy detection in the context of dairy milk processing companies of the Republic of Belarus. Republic of Belarus is exporter of milk products i.e. more than 60% of products are exported abroad. Gross output of milk products is more than 7 thou tons. To keep successful functioning of diary milk processing companies it is important to estimate financial condition of the companies and detect possibility of bankruptcy in time. The article contains 11 models of bankruptcy detection, which provide the basis for the new model taking into account specificity of diary milk processing industry. Suggested methodology of ranking score to detect threat of bankruptcy classifies financial coefficients by reliability for specific diary milk processing company. Condition of the company may be evaluated as crisis, pre-crisis, unstable normal or absolute. This study includes examples of calculation for 6 major diary milk processing companies of the Republic of Belarus. These calculations prove the fact that possibility of bankruptcy is unstable every year. Such condition might be caused by many internal and external factors such as sanctions, embargo, restructuration and loss-making company takeover. Practically implemented this methodology should only be included into the notes of accounting reports of the company. It may be helpful for auditors and external users to estimate stability of the company and risk of bankruptcy and take reasonable decision about management of risks.
The aim of an article is to make comparison analysis of labor productivity efficiency in milk processing industry. An investigated object is a data base of accounting reports of 5 countries in the Czech Republic, the Slovak Republic, Poland, Hungary and Russia over the period of 2011 -2013. The number of selected companies is 619. a hypothesis of the research: there is significant correlation between salary and labor productivity in milk processing industry. Difference between Visegrad group and Russia is tested with Kolmogorov-Smirnov test at significance level of 0.05. Representativity of data is checked by Chi-Square test. Relationship between workforce productivity and salary is made by Spearman's rank correlation. In Visegrad group, relationship between workforce productivity and salary are presented by volume of coefficient 0.7189. Russian companies have coefficient 0.1208. Generally speaking, there is sufficiently great dependence between salary and labor productivity in Visegrad group and there is no dependence in Russia. a worker can see no dependence between high salary and high productivity in Russia that is The possible reason of low correlation between salary and labor productivity. This fact suggests methodology to control efficiency of labor workforce. The methodology is based on coefficients, given to each employee, in order to estimate his productivity and compare it with other employees or compare companies between each other.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.