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Influence of the production direction of European Union farms on the level of financial liabilities

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The main purpose of the study was to investigate the relationship between the direction of production of farms in the European Union and the level of their liabilities. Design/methodology/approach: The study period includes the years 2005-2019. Data relating to eight types of farming identified in the FADN database were used to illustrate the directions of production. The conducted research focuses on the following types of liabilities: total, incurred for a period longer than one year and incurred for a period of less than one year with outstanding cash payments. One-way ANOVA variance was used to achieve the research objective. Findings: The conducted research showed that the most common differences in the level of liabilities are between the type of granivores and the types of farms focused on plant production and other permanent crops with farms focused on field crops, horticulture and livestock production. Relatively few differences can be observed in the case of farms targeting the same source of food origin (except for other permanent crops). Originality/value: The obtained results indicate a significant differentiation in the level of liabilities in farms focused on plant and livestock production, which results from the different specificity of their production.
Rocznik
Tom
Strony
163--173
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
  • Department of Organizations Development, Cracow University of Economics
  • Department of Organizations Development, Cracow University of Economics
Bibliografia
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  • 3. Azhagaiah, R., Gavoury, C. (2011). The Impact of Capital Structure on Profitability with Special Reference to IT industry in India. Managing Global Transitions, No. 9, pp. 371-392.
  • 4. Barry, P.J., Bierlen, R.W., Sotomayor, N.L. (2000). Financial Structure of farm businesses under imperfect capital markets. American Journal of Agriculture Economics, No. 82(4), pp. 920-933.
  • 5. Bierlen, R., Barry, P.J., Dixon, B.L., Ahrendsen, B.L. (1988). Credit Contstraints, Farm Characteristics and the Farm Economy: Differential Impacts on Feeder Cattle and Beef Cow Inventories. The American Journal of Agricultural Economics, No. 80, pp. 708-723.
  • 6. Bratka, V., Praulins, A. (2009). Diveristy of farm indebtedness in Latvia and Poland: a comparative study. Problemy Rolnictwa Światowego, No. 6(21), pp. 10-25.
  • 7. Burja, C., Burja, V. (2010). Financial Analysis of the Agricultural Holdings Viability in Romania in the European Context. Annales Universitatis Apulensis Series Oeconomica, No. 12(1), pp. 63-71.
  • 8. Daniłowska, A. (2005). Pożyczki od osób fizycznych jako źródło finansowania działalności w gospodarstwach indywidualnych w Polsce. Ekonomika i Organizacja Gospodarki Żywnościowej - Zeszyty Naukowe SGGW, No. 55, pp. 105-113.
  • 9. Diederen, P., van Meijl, H., Wolters, A., Bijak, K. (2003). Innovation Adoption in Agriculture: Innovators, Early Adopters and Laggards. Cahiers d’economie et sociologie Rurales, No. 67, pp. 30-50.
  • 10. FADN. Available online https://ec.europa.eu/agriculture/rica/database/database_en.cfm, 25.04.2022.
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  • 13. Goraj, L., Osuch, D., Sierański, W. (2006). Opis realizacji próby gospodarstw rolnych dla Polskiego FADN w 2005 r. Warsaw: IERiGŻ-PIB.
  • 14. Grzelak, A. (2014). Tendencies in the Income Situation of Farms Participating in the Accounting System of the FADN in Poland on a Background of Selected EU Countries. Economic Science for Rural Development, No. 35, pp. 256-264.
  • 15. Kata, R. (2010). Problem Wykorzystania kredytu bankowego w finansowaniu rolnictwa w Polsce i innych krajach Unii Euorpejskiej. Acta Scientiarum Polonorum Oeconomica, No. 9(3), pp. 145-156.
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  • 19. Sherrick, B.J., Barry, P.J., Ellinger, P.N., Schnitkey, G.D. (2004). Factors influencing farmers’ crop insurance decisions. American Journal of Agricultural Economics, No. 86, pp. 103-114.
  • 20. Stanisz, A. (2007). Przystępny kurs statystyki z zastosowaniem STATISTICA PL na przykładach z medycyny. Tom 2 - Modele liniowe i nieliniowe. Kraków: StatSoft Polska Sp. z o.o.
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Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7620d3a1-a3e9-41ff-8e30-b6ecd85877bd
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