Ekonomika poljoprivrede
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2019, vol. 66, iss. 3, pp. 681-690
Forecasting corn production indicators in the Republic of Srpska
aUniversity of Novi Sad, Faculty of Agriculture
bUniversity Singidunum, Belgrade,,,
The aim of this paper is to formulate quantitative models to predict future trends in corn production in the Republic of Srpska. The applied research methods are the descriptive analysis method, and the analytical statistical method, i.e. the Box-Jenkins Model based on the ARIMA model (Autoregressive Integrated Moving Average). The results of the research show that the corn production indicators, as the most important crop in the Republic of Srpska, will, despite the oscillations, show an increase in the last year of the five-year prediction period (2018-2022) compared to the previously analysed twenty-two year period (1996-2017). The formulation of such forecasting models is a good basis for planning the overall crop production in the Republic of Srpska.
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article language: English
document type: Original Scientific Paper
DOI: 10.5937/ekoPolj1903681N
published in SCIndeks: 10/10/2019
peer review method: double-blind
Creative Commons License 4.0

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