Skip to content
naulon
Not checkedNot checked for notices yet.

The impact of profitability and productivity on the risk of bankruptcy for agricultural and food companies in Vojvodina

Milić Dragan M., Tekić Dragana D., Novaković Tihomir J. and 3 more

Journal of Agricultural Sciences (Belgrade) · 2022

doi:10.2298/jas2201047m (opens in a new tab)

We email you when a new notice or a question about this paper appears.

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 the Altman?s Z-score method, as well as the 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 a 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 significant 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 a statistically significant positive impact on profitability. In contrast, for medium and large food companies, the risk of bankruptcy is not affected by the observed variables.

Abstract licence: CC BY-SA

References13

    13 more references, whose wording the paper’s licence keeps private.

    Reads

    Read by people on this page

    None yet.

    Checked or read by AI through naulon

    None yet.

    A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

    Are you an author?

    Is this your paper?

    Claim it to add your note and be paid when agents cite it. Free.