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- Title
FORECASTING THE PRODUCTION OF GROUNDNUT IN TURKEY USING ARIMA MODEL.
- Authors
Celik, S.; Karadas, K.; Eyduran, E.
- Abstract
The aim of this study was to model groundnut production in Turkey using data from the period 1950- 2015 in Turkey in an effort to forecast groundnut production amounts between the years 2016 and 2030 by using Autoregressive Integrated Moving Average (ARIMA) models. In the study, ARIMA (0,1,1) was found to be the most appropriate model among six studied ARIMA models in forecasting the groundnut production amounts for the next 15 years. We forecasted that annual amount of groundnut production obtained in the year 2016 was 138,98 thousand tons and it reached to 167,28 thousand tons in the year 2030 with a significant acceleration for groundnut production. Forecasting results of the ARIMA (0,1,1) illustrated an increasing trend in the amount of groundnut production, and they might help to determine a better policy for increasing groundnut production in Turkey.
- Subjects
PEANUT growing; AUTOREGRESSION (Statistics); AGRICULTURAL productivity; BOX-Jenkins forecasting; CROP science
- Publication
JAPS: Journal of Animal & Plant Sciences, 2017, Vol 27, Issue 3, p920
- ISSN
1018-7081
- Publication type
Article