An Analysis of Value Creation in Czech Food Companies

J 2017

An Analysis of Value Creation in Czech Food Companies

SUCHÁNEK, Petr a Martin ŠTĚRBA

Základní údaje

Originální název

An Analysis of Value Creation in Czech Food Companies

Autoři

SUCHÁNEK, Petr a Martin ŠTĚRBA

Vydání

Trendy v podnikání - Business Trends, Plzeň, Fakulta ekonomická ZČU v Plzni, 2017, 1805-0603

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50204 Business and management

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14560/17:00095348

Organizační jednotka

Ekonomicko-správní fakulta

Klíčová slova anglicky

value creation; performance; EVA ratio; financial analysis; food companies

Příznaky

Recenzováno

Změněno: 23. 11. 2023 09:12, Mgr. Pavlína Kurková

Anotace

V originále

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.

Návaznosti

GA16-16260S, projekt VaV

Název: Přístup managementu k redukci zpětných toků ve vazbě na spokojenost zákazníků a neustálé zlepšování

Investor: Grantová agentura ČR, Přístup managementu k redukci zpětných toků ve vazbě na spokojenost zákazníků a neustálé zlepšování

Citovat

SUCHÁNEK, Petr a Martin ŠTĚRBA. An Analysis of Value Creation in Czech Food Companies. Trendy v podnikání - Business Trends. Plzeň: Fakulta ekonomická ZČU v Plzni, 2017, Neuveden, č. 3, s. 3-15. ISSN 1805-0603.

@article{1402022,
   author = {Suchánek, Petr and Štěrba, Martin},
   article_location = {Plzeň},
   article_number = {3},
   keywords = {value creation; performance; EVA ratio; financial analysis; food companies},
   language = {eng},
   issn = {1805-0603},
   journal = {Trendy v podnikání - Business Trends},
   title = {An Analysis of Value Creation in Czech Food Companies},
   url = {https://dspace5.zcu.cz/bitstream/11025/29160/1/Suchanek.pdf},
   volume = {Neuveden},
   year = {2017}
}

TY  - JOUR
ID  - 1402022
AU  - Suchánek, Petr - Štěrba, Martin
PY  - 2017
TI  - An Analysis of Value Creation in Czech Food Companies
JF  - Trendy v podnikání - Business Trends
VL  - Neuveden
IS  - 3
SP  - 3-15
EP  - 3-15
PB  - Fakulta ekonomická ZČU v Plzni
SN  - 18050603
KW  - value creation
KW  - performance
KW  - EVA ratio
KW  - financial analysis
KW  - food companies
UR  - https://dspace5.zcu.cz/bitstream/11025/29160/1/Suchanek.pdf
N2  - 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.
ER  -

SUCHÁNEK, Petr a Martin ŠTĚRBA. An Analysis of Value Creation in Czech Food Companies. \textit{Trendy v podnikání - Business Trends}. Plzeň: Fakulta ekonomická ZČU v Plzni, 2017, Neuveden, č.~3, s.~3-15. ISSN~1805-0603.

Přehled o publikaci