FORECASTING CORN PRODUCTION INDICATORS IN THE REPUBLIC OF SRPSKA
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 (Autoregressi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Naučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, Bukurešt
2019-09-01
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| Series: | Ekonomika Poljoprivrede (1979) |
| Subjects: | |
| Online Access: | https://www.ea.bg.ac.rs/index.php/EA/article/view/1400 |
| Summary: | 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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| ISSN: | 0352-3462 2334-8453 |