IMPACT OF PROFITABILITY AND PRODUCTIVITY ON THE RISK OF BANKRUPTCY FOR AGRICULTURAL AND FOOD COMPANIES IN VOJVODINA

  • Dragana Tekić Asistent
Keywords: profitability, productivity, bankruptcy, agriculture, food industry, Vojvodina

Abstract


The paper deals with agricultural and food companies which operated on the territory of Vojvodina in 2019. The study analyzed the risk of bankruptcy measured by Altman’s Z-score, as well as profitability and productivity of the observed companies. The aim of the study was to use a multiple regression model to determine the impact of profitability and productivity on the risk of bankruptcy for agricultural and food companies of different sizes (including micro, small, medium and large companies) as well as to compare the results for these two sectors. The comparison of agricultural and food sectors was made according to the size of the companies. The obtained results indicated that profitability has statistically significant positive impact on the risk of bankruptcy for micro and large agricultural companies, while for small agricultural companies the risk of bankruptcy is statistically significantly and positively affected by productivity. The risk of bankruptcy for medium-sized agricultural companies is not affected by the examined indicators. In addition, regression analysis indicated that the risk of bankruptcy for micro and small food companies has statistically significant positive impact on profitability, while for medium and large food companies the risk of bankruptcy is not affected by the observed variables.

References

Aleksanyan, L. & Huiban, J-P. (2016). Economic and financial determinants of firm bankruptcy: evidence from the French food industry. Rev Agric Food Environ Stud, 97(89), 89-108. DOI 10.1007/s41130-016-0020-7
Altman, E.I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4) , 589-609.
Apan, M., Öztel, a. & İslamoğlu, M. (2018). Comparative Empirical Analysis of Financial Failures of Enterprises with Altman Z-Score and VIKOR Methods: BIST Food Sector Application. Australasian Accounting, Business and Finance Journal, 12(1), 77-101.

Boratyńska, K. & Grzegorzewska, E. (2018). Bankruptcy prediction in the agribusiness sector: Lessons from quantitative and qualitative approaches. Journal of Business Research, 89, 175-181.
Bryan, D., Fernando, G.D. & Tripathy, A. (2013). Bankruptcy risk, productivity and firm strategy. Reviwe of Accounting and Finance, 12(4), 309-326.
Burja, C. & Burja, V.(2013). Entrepreneurial risk and performance: empirical evidence of Romanian agricultural holdings, Annales Universitatis Apulensis Series Oeconomica, 15(2), 561-569.
Georgeta, V. & Georgia, T.M. (2012). Bankruptcy Prediction Model for Listed Companies in Romania. Journal of Eastern Europe Research in Business & Economics, 2012, 1-10.
Hadživuković, S. (1991). Statistički metodi, Poljoprivredni fakultet, Institut za ekonomika poljoprivrede i sociologiju sela, Novi Sad.
Kontsevaya, S., Chachotkin, S., Kostina, R. & Khoruziy, L. (2019). Ranking score of financial condition and fear of bankruptcy to evaluate operation's continuity of dairy milk processing companies: Evidence from the Republic of Belarus. Proceedings of the international scientific conference Hradec Economic Days 2019 part I, 9(1),422-430.
Krstić, B. & Janković-Milić, V. (2003). Neki aspekti ekonomsko-statističke analize produktivnosti rada. Regionalni razvoj i demografski tokovi balkanskih zemalja, Ekonomski fakultet u Nišu, 497-506
Lifschutz, S., & Jacobi, A. (2010). Predicting bankruptcy: Evidence from Israel. International Journal of Business and Management, 5(4), 133-141.
Novaković T. (2019). Analiza bruto dodate vrednosti poljoprivrede u Republici Srbiji. Ekonomske ideje i praksa, 32,39-55.
Ohlson, J.A. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109-131.
Rajin, D., Milenković, D., & Radojević T. (2016). Bankruptcy prediction models in the Serbian agricultural sector. Economics of Agriculture, 63(1), 89-105.
Taffler, R. J. (1983). The assessment of company solvency and performance using a statistical model. Accounting and Business Research, 15(52), 295-308.
Tekić, D., Mutavdžić, B., Novković, N., Novaković, T. & Vukelić, N. (2020). Analysis of the financial position of mill companies in Vojvodina. Journal on Processing and Energy in Agriculture, 24 (3-4), 119-122.
Vavrek, R., Kravčáková Vozárová, I. & Kotulič R. (2021). Evaluating the Financial Helth of Agricultural Enterprises in the conditions of the Slovak Republik using Bankruptcy Models. Agriculture, 11,1-19.
Vukadinović, P., Vujović, S. & Vojnović, B. (2018). Analysis of the financial position of enterprises in privatization in the agricultural sector in Serbia, Ekonomika poljopirvrede, 65(3), 955-970.
Zakon o računovodstvu ("Sl. glasnik RS", br. 73/2019)
Zmijewski, M.E. (1984). Methodological issues related to estimation of financial distress prediction models. Journal of Accounting Research, 22, 59-82.
Published
2022/04/01
Section
Original Scientific Paper