The topic of this study is the factors that influence the consumption of traditional food products (TFPs) in tourism, as seen from the perspective of management-sector employees in food and beverage catering facilities. The paper aims to analyse the economic, environmental, social, and touristic factors that highly influence the consumption patterns of catering facilities which are significant providers of traditional gastronomic experiences in tourism, by using the specially designed TFPct scale. The study was conducted on a sample of 300 catering facilities in AP Vojvodina (the Republic of Serbia). An explanatory factor analysis was used to confirm the key factors that influence the consumption of traditional products used to prepare the meals that are a part of what catering facilities offer. Subsequently, a binary logistics regression model was used to establish which of the indicated factors has a statistically significant effect on the management’s decision to purchase these products for their catering facility. The study showed that the TFPct scale is appropriate for this type of research, and that economic factors are key factors in the consumption of traditional products. Moreover, compared with other types of catering facilities, interest in the consumption of these products is clearly expressed by a la carte restaurants.

One can observe the sustainability of traditional food products (TFPs) consumption in terms of their market, production, and technical characteristics. These characteristics must be acknowledged by the management section of a catering facility responsible for purchasing and consuming these products. Consequently, this research was conducted among the management of catering facilities (chefs, managers, and owners) in Vojvodina (northern region of Serbia) from 300 different facilities. The research was conducted using a questionnaire. The data acquired were statistically processed using the non-parametric Mann–Whitney and Kruskal–Wallis tests and presented in this paper. Special attention was given to differences in perceiving the characteristics of TFP of Vojvodina (TASQ) as seen from the socio-demographic aspects of the respondents and the characteristics of catering facilities. The research deduced that the sensory quality of a product, menu diversity, freshness, local production, price, and seasonality are the prominent characteristics that affect the TFP’s choice of purchase and consumption. The least essential characteristics are organic production and brand. The differences in perception of the characteristics were based on the respondent’s age, education level, and working position, as well as catering offer (domestic, national, international, and combined) and the location of a catering facility (urban/rural).

Credit risk assessment of agricultural enterprises in the Republic of Serbia was analyzed in this research by applying discriminant analysis and logistic regressions. The aim of the research is to determine the financial indicators which financial analysts consider when analyzing a loan application that have the most influence on the decision to approve or reject a loan application. The internal determinants of credit risk of agricultural enterprises are analyzed, i.e., indicators of financial leverage, profitability, liquidity, solvency, financial stability and effectiveness. The analyzed models gave different results in significance of the observed indicators. The indicators that stood out as significant in both models are only indicators of profitability and solvency. The model of discriminant analysis has successfully classified rate 81.0%, while the logistic regression model has successfully classifies rate 89.8%. In modeling the credit risk of agricultural enterprises in the Republic of Serbia, the logistic regression model gives better results.

Tomato is one of the most important vegetable crops in Serbia. The average annual production of tomato has been about 174,000 tones. The topic of this research paper is the analysis of the changes and the future tendencies of the price parameters of tomato in Serbia, with the aim to forecast the real, absolute and relative (the parity with wheat) tomato price, i.e. to forecast the economic conditions for the production. The analysis of the time series (1994-2010) has been done by means of descriptive statistics, and the suitable ARIMA models were used for the forecast (2011-2015). The average real tomato price in the period 1994-2010 was 0.17 EUR/kg, and the average parity price for tomato/wheat was 1.5. The tendencies for the real growth of tomato price as well as the increase in the parity price with wheat were noticed during the analyzed period. A further real growth of tomato price and the growth of the parity with wheat have been predicted for the forecast period. This means that both absolute and relative price conditions in tomato production have been improving. The predicted tomato price in 2015 is 0.22 EUR/kg, and the parity price with wheat is 2.88, which is considerably higher than the average in the observed time period. The models for the forecast indicated that the previous year's tomato price, i.e. parity, has a considerable influence over the formation of tomato price and the establishing of the parity with wheat.

The subject of this research is the financial position of mill companies in Vojvodina. The specific aim of the research is to analyze the is to compare the applied models for the analysis of the financial position. The basis of the analysis are the financial reports of the observed companies in the period from 2015 to 2019. The analysis of the financial position was performed using two models: Altman's Z-score model and Kralicek's Quick test model. These models use standard financial ratio indicators to assess the risk of bankruptcy of companies, i.e. their financial stability and profitability. The obtained results suggest that the company MLINTEST stood out as the most successful company and that the company KIKINDSKI MLIN stood out as the company with the worst financial position. Both models gave similar results, and their further use is recommended when analyzing the financial position of mill companies in Vojvodina financial position, i.e. to assess the risk of bankruptcy of medium-sized mill companies in Vojvodina. The general aim of the research.

The paper analyzes the determinants of profitability of microagricultural enterprises that operated in the Republic of Serbia, the analysis was carried out for the period from 2010 to 2019. Using panel regression analysis, the influence of various microeconomic and macroeconomic determinants on profitability, measured by the rate of return on assets, was examined. The following indicators were observed as microeconomic determinants of profitability: liquidity, financial leverage, indebtedness, asset structure indicator, total business asset turnover ratio, fixed asset turnover ratio, current asset turnover ratio, inventory turnover ratio, trade receivables turnover ratio and sales rate. Indicators of the growth rate of the gross domestic product and inflation were observed as macroeconomic determinants of profitability. Based on the results of the panel regression analysis, it was determined that the turnover ratio of total business assets, the turnover ratio of current assets and the growth rate of the gross domestic product have a positive and statistically significant influence on the profitability of the observed companies. Indebtedness, an indicator of asset structure and the turnover ratio of fixed assets have a negative and statistically significant impact on the profitability of the observed companies. It is expected that the obtained results will be useful to all interested parties in agribusiness, primarily in the context of the analysis of factors that have been determined to have a negative impact on the profitability of the observed companies.