2018
DOI: 10.15544/mts.2018.19
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The Likelihood of Farms Bankruptcy: The Case of Lithuanian Family Farms

Abstract: In developing the measures of agriculture policy and purposeful usage of EU funds, also for financial organisations, farmers, advisors and scientists it is important to predict farm bankruptcy.

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Cited by 3 publications
(5 citation statements)
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“…This means that the liquidity position of analyzed farms was about the same as those found by Wolf et al in the USA for 2010-2019, ranging from 2.05 to 3.26. The net working capital ratio (WCA) ranged from negative values (non-subsidized micro and medium-sized farms) to 0.26, which was similar to the findings of Jedik and Stalgien ė (2018) for Lithuanian farms.…”
Section: Discussionsupporting
confidence: 70%
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“…This means that the liquidity position of analyzed farms was about the same as those found by Wolf et al in the USA for 2010-2019, ranging from 2.05 to 3.26. The net working capital ratio (WCA) ranged from negative values (non-subsidized micro and medium-sized farms) to 0.26, which was similar to the findings of Jedik and Stalgien ė (2018) for Lithuanian farms.…”
Section: Discussionsupporting
confidence: 70%
“…Our results showed that all of our farms were vulnerable throughout the 2014-2021 period in terms of OPM (in the range of 0.01-0.11), but quite strong according to ATR (0.77-1.66). Wolf reported somewhat better performance of US dairy farms for OPM (0.03 to 0.20), but Jedik and Stalgien ė (2018) reported weaker ATR values for Lithuanian farms (0.13-0.35 between 2014 and 2016). Stulpinien ė and Aleknevičien ė (2012) reported that for Lithuanian farms in 2010, ROA and ROE values were negative (−0.065 to −0.004), except that farm with more than 150 ha of land had 0.022 and 0.028 for ROA and ROE, respectively.…”
Section: Discussionmentioning
confidence: 95%
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“…Their relevance is also documented by several modifications, such as the Altman model [34][35][36]. Predicting the financial situation of agricultural companies using multidimensional discriminatory analysis has been the subject of several studies with confrontational results (e.g., Karpáč and Bartošová [25]; Bod'a and Úradníček [37]; Jedik and Stalgiene [38]; Karas et al [39]; Valašková et al [27]; Rajin et al [40]; Kiaupaite-Grushniene [2]; Popescu [41]).…”
Section: Introductionmentioning
confidence: 99%