An Analysis of Value Creation in Czech Food Companies

SUCHÁNEK, Petr and Martin ŠTĚRBA. An Analysis of Value Creation in Czech Food Companies. Trendy v podnikání - Business Trends. Plzeň: Fakulta ekonomická ZČU v Plzni, 2017, Neuveden, No 3, p. 3-15. ISSN 1805-0603.

Basic information

• Original name: An Analysis of Value Creation in Czech Food Companies
• Authors: SUCHÁNEK, Petr (203 Czech Republic, guarantor, belonging to the institution) and Martin ŠTĚRBA (203 Czech Republic, belonging to the institution).
• Edition: Trendy v podnikání - Business Trends, Plzeň, Fakulta ekonomická ZČU v Plzni, 2017, 1805-0603.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 50204 Business and management
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• RIV identification code: RIV/00216224:14560/17:00095348
• Organization unit: Faculty of Economics and Administration
• Keywords in English: value creation; performance; EVA ratio; financial analysis; food companies
• Tags: Reviewed

Abstract

The subject of this article is based on an analysis of food companies in the Czech Republic. The aim of the article is to identify differences in value creation (including causal ones) across the companies. We chose a basic sample of all 931 Czech companies in the food industry sector, in segments such as meat and fish processing, milk and dairy products and so on. Of this group, 707 companies had sufficient and available financial data for the year 2014. In the second step we calculated the EVA and ROE indicators for those companies. Subsequently, 382 successful companies (EVA indicator > 0) and 103 extremely unsuccessful companies (ROE < 0) were selected for further analysis. For these companies, a profile analysis, considering difference in averages, was done which allowed us to compare each of selected financial indicators in both groups of companies and to find the greatest differences between them. In the next step a logistic regression model was used (for indicators with a statistically significant difference) identifying which indicators would serve as the basis for a model for distinguishing high-performing companies from low-performing ones. Thus obtained indicators are evaluated on the basis of the food company model. We created a CVM model which is able to identify companies which create values in 97.1 % of cases and in 79.6 % of cases is able to recognize companies which destroy value. An advantage of the model is its ability to detect areas where the companies are strengthened or weakened due to used financial indicators.

Links

• GA16-16260S, research and development project: Name: Přístup managementu k redukci zpětných toků ve vazbě na spokojenost zákazníků a neustálé zlepšování

Investor: Czech Science Foundation