ANALYSIS AND PREDICTION OF PRODUCTION CHARACTERISTICS AND PRICES OF HONEY PRODUCTION IN THE VOJVODINA REGION

Main Article Content

Nebojša Novković
Nataša Vukelić
Veljko Šarac
Beba Mutavdžić
Dragana Tekić

Abstract

The aim of the research is to establish the state of honey production based on the current production and economic characteristics in order to predict their tendency for the period 2023-2026. The analyzed data refer to the number of beehives, total production, and yields of honey for the period 2006-2021, which were provided by the Statistical Office of the Republic of Serbia. In order to analyze the characteristics of honey production and prices the method of descriptive statistical analysis was applied: arithmetic mean (ẋ), extreme values ​​(min and max), coefficient of variation (CV), and the annual rate of change (r). The analyzed data indicate that total honey production and the number of beehives increased at an average annual rate of 6.09% and 6.27%, respectively, while the yield has declined slightly at an average annual rate of 0.17%. The trend of increasing the number of beehives and total production, and decreasing yields will continue in the prediction period. The purchasing price of honey has a tendency to increase (r=4.97). In 2026, the price is projected to be 5533 euro/ton, which means that the expected price of honey will be higher than the average by 3184 euro/ton.

Downloads

Download data is not yet available.

Article Details

Section
Articles

References

Nedić, N., Nikolić, Hopić, S.(2019): ECONOMIC JUSTIFICATION OF HONEY PRODUCTION IN SERBIA, Journal of Agricultural Sciences Vol. 64, No. 1, UDC: 638.16(497.11) 85-99 https://doi.org/10.2298/JAS1901085N
Geoffrey Allen, P., (1994): Economic forecasting in agriculture. International Journal of Forecasting, vol 10, (1), 81-135. https://doi.org/10.1016/0169-2070(94)90052-3
Li, J., Li, G., Liu, M., Zhu, X., Wei, L., (2022): A novel text-based framework for forecasting agricultural futures using massive online news headlines. International Journal of Forecasting, vol 38, (1), 35-50. https://doi.org/10.1016/j.ijforecast.2020.02.002
Niyigaba, J., Peng, D. (2020): Analysis and Forecasting the Agriculture Production Sector in Rwanda, International Journal of Economics and Finance, Vol. 12, No. 8; Published by Canadian Center of Science and Education, doi:10.5539/ijef.v12n8p
Ignjatijević, S., Ćirić, M., Čavlin, M. (2015): Analysis of honey production in Serbia aimed at improving the international competitiveness, Custos e Agronegocio, on line - v. 11, n. 2 – Apr/Jun – 2015,194-212.
http://www.custoseagronegocioonline.com.br/numero2v11/K%2010%20honey%20english.pdf