Economic and financial position of agricultural enterprises in the period before the accession to the European Union

Chrastinová, Z.

doi:10.17221/5238-agricecon

Cited by 4 publications

(4 citation statements)

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“…Financial indicators, which influence capital structure, are mentioned in many studies. For example Rosochatecká (2002) mentions this problem, or Gurčík (2002), Chrastinová (2004) etc.…”

Section: Evaluation Of Capital Structure Of Agricultural Cooperativesmentioning

confidence: 99%

Evaluation of Capital Structure of Agricultural Cooperatives

Steklá¹,

Gryčová²,

Homolka³

2015

AOL

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Jedním z významných faktorů ovlivňujících ekonomickou efektivnost je vhodná kapitálová vybavenost podniků. V případě správného nastavení kapitálové struktury, přesněji řečeno poměru vlastního kapitálu a cizího kapitálu, je třeba vzít v úvahu několik faktorů, které působí na strukturu kapitálu, například různé zdroje financování. Hlavním cílem této práce je analyzovat vývoj struktury kapitálu a kapitálové disparity v zemědělských družstvech v rámci čtrnácti krajů České republiky pro časovou řadu 2009-2013. Pro tuto analýzu jsou použity ukazatele zadluženosti a metody komparativní statiky. Data jsou získána a zpracována z databáze podniků Albertina. Finanční a ekonomická krize snížila dluhové finanční indikátory, stejně tak i indikátory zisku. Kapitálová disparita mezi regiony na konci sledovaného období se zdá nezměněna. Obvykle Praha jako region s nejvyšším HDP na obyvatele během sledovaného období vykazuje extrémní hodnoty většiny indikátorů a vyšší odchylky v dluhových finančních indikátorech a nižší v indikátorech ziskovosti. Vliv indikátorů kapitálové struktury na ziskovost družstev se zdá nevýznamný během sledovaného období.

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Section: Evaluation Of Capital Structure Of Agricultural Cooperativesmentioning

confidence: 99%

Evaluation of Capital Structure of Agricultural Cooperatives

Steklá¹,

Gryčová²,

Homolka³

2015

AOL

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“…In Slovakia, the development of a prediction model was initially addressed by Chrastinova (1998) and Gurcik (2002), who used multiple discriminant analysis to create a model for agricultural enterprises. To evaluate the future corporate prosperity of non-financial small and medium-sized enterprises, Hurtosova (2009) used logistic regression for the first time in the Slovak national context.…”

Section: Research Resultsmentioning

confidence: 99%

Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia

Gajdosikova

Valášková

2023

Economics and Culture

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Research purpose. Financial distress being a global phenomenon makes it impact firms in all sectors of the economy and predicting corporate bankruptcy has become a crucial issue in economics. At the beginning of the last century, the first studies aimed to predict corporate bankruptcy were published. In Slovakia, however, several prediction models were developed with a significant delay. The main aim of this paper is to develop a model for predicting bankruptcy based on the financial information of 3,783 Slovak enterprises operating in the manufacturing and construction sectors in 2020 and 2021. Design / Methodology / Approach. A prediction model that uses the appropriate financial indicators as predictors may be developed using multiple discriminant analysis. Multiple discriminant analysis is currently used in prediction model development. In this case, financial health is assessed using several variables that are weighted in order to maximise the difference between the average value calculated in the group of prosperous and non-prosperous firms. When developing a bankruptcy prediction model based on multiple discriminant analysis, it is crucial to determine the independent variables used as primary financial health predictors. Findings. Due to the discriminant analysis results, the corporate debt level of the monitored firms may be regarded as appropriate. Despite the fact that the model identified 215 firms in financial distress due to an insufficient debt level, 3,568 out of 3,783 Slovak enterprises operating in the manufacturing and construction sectors did not have any problems with financing their debts. The self-financing ratio was identified in the developed model as the variable with the highest accuracy. Based on the results, the developed model has an overall discriminant ability of 93% since bankruptcy prediction models require strong discriminating abilities to be used in practice. Originality / Value / Practical implications. The principal contribution of the paper is its application of the latest available data, which could help in more accurate financial stability predictions for firms during the current difficult period. Additionally, this is a ground-breaking research study in Slovakia that models the financial health of enterprises in the post-pandemic period.

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“…Many authors contributed to the issue; we can mention at least several of them: Blaas (2004), Grznár, Szabo (2004), Bielik et al(1995), Chrastinová (2004), Fendeková, Strieška (2005. During the period of preparation to the accession, a significant attention was devoted to the problems connected with low performance of our enterprises, with old-fashioned technical equipment, with malfunctioning of the market with land, and with only half-solved property ownership, etc.…”

Section: Resultsmentioning

confidence: 99%

On some potential competitive advantages of the Slovak agricultural enterprises in the EU

Grznár¹,

Szabó²

2006

AGR ECON-CZECH

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Abstract:The paper deals with identification of some forms of potential competitive advantage that can be applied by the Slovak agrarian enterprises after the accession to the EU. The capacity of the economies of scale is being analyzed, as well as the potential of the labor productivity growth, and input management in controlling of intensification process. The paper is targeted at verifying the extent of application of competitive advantages by agrarian enterprises, and identifying the reasons of obstacles that hinder their full utilization.Key words: competitive advantage, economies of scale, labor productivity, input management Abstrakt: Príspevok sa venuje identifikácii niektorých foriem potenciálnej konkurenčnej výhody, ktoré môžu uplatniť slovenské agrárne podniky po vstupe do EÚ. Analyzované sú možnosti využitia úspor z rozsahu, potenciál rastu produktivity práce a manažment vstupov pri riadení intenzifikačného procesu. Cieľom príspevku je overiť do akej miery sa slovenským agrárnym podnikom darí využívať tieto konkurenčné výhody a čo je bariérou ich plnšieho využitia.Kľúčové slová: konkurenčná výhoda, úspory z rozsahu, produktivita práce, manažment vstupov

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Economic and financial position of agricultural enterprises in the period before the accession to the European Union

Cited by 4 publications

References 0 publications

Evaluation of Capital Structure of Agricultural Cooperatives

Evaluation of Capital Structure of Agricultural Cooperatives

Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia

On some potential competitive advantages of the Slovak agricultural enterprises in the EU

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