“…The agro-industrial cluster is a system of geographically neighboring agricultural producers, its processors operating on the basis of cooperation among themselves and supporting the innovative development of all organizations in the cluster (Bannikova, Onezhkina, Agalarova, & Tenishchev, 2018;Karpenko, 2016). On the one hand, it is a rational way of structural construction of the region's agrarian sector.…”
This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
“…The agro-industrial cluster is a system of geographically neighboring agricultural producers, its processors operating on the basis of cooperation among themselves and supporting the innovative development of all organizations in the cluster (Bannikova, Onezhkina, Agalarova, & Tenishchev, 2018;Karpenko, 2016). On the one hand, it is a rational way of structural construction of the region's agrarian sector.…”
This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
“…There are numerous examples of applying quantitative and qualitative methods in analysing, modelling, forecasting and planning of production and economic characteristics of agricultural products and inputs in agriculture. Bannikova et al (2018) analyzed the alternatives of development of the Russian vegetables market concerning the changes of the level and structure of production and consumption of vegetables. The main objectives of the research were to collect and analyze data of the Russian market of vegetable production, modeling and scenario forecasting vegetables market, a substantiation of directions of development of the market.…”
The subject of this paper is analysis of the tendencies and forecast of the prices of most significant vegetable crops in Serbia: potato, bean, tomato, pepper, onion, cabbage and watermelon. The aim of the paper is to forecast the absolute prices of the studied vegetables. Time series analysis of vegetable prices expressed in euro per ton (2002-17) was performed by means of descriptive statistics, while adequate ARIMA models were used for price forecasting (2018-22). The analysis of the studied vegetable crops showed that bean had the highest average annual price, while watermelon had the lowest. The price of tomato showed the highest fluctuations over the years, while the lowest were for onion and cabbage. All vegetable crops showed a tendency of absolute increase in prices expressed in euro. Based on the foregoing, it can be concluded that the market position of vegetables is generally improving, but oscillations will continue to occur.
“…A certain number of papers have already dealt with forecasting vegetable prices and their parities. Most commonly used models in these studies are based on time series analysis (Bannikova et al 2018, Ivanišević et al, 2015, Miljanović et al, 2014, Mihajlović 2019. Novković et al (2018) forecast the price parities of vegetables in relation to wheat based on extrapolation of the change rate in the analyzed long-term period.…”
The paper analyzes price parities of important vegetable crops in Serbia in relation to wheat, which has always been a point of reference in price formation of other agricultural products. The analysis was carried out by means of descriptive statistics for the period 1994-2017 for the following vegetable crops: potato, bean, tomato, pepper, onion and cabbage. The method used for forecasting of the price parities for the period 2018-2022 is time series analysis, i.e. ARIMA models. The research results showed that the price parities of bean, tomato and pepper will increase: from 9.1 to 12.3 for bean, from 1.9 to 3.5 for tomato and from 2.3 to 3 for pepper. The price parities for potato (1.4) and cabbage (1.4) will remain practically unchanged, while the price parity of onion will decrease to 1.5.
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