Research Article

Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method

Volume: 02 Number: 2 December 31, 2018
EN

Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method

Abstract

Turkey is the first largest apricot producer in the world. In 2016, Turkey was responsible for 9,21% of world apricot production with 730 thousand tons. Turkey also generated 11,31% of world apricot exports in 2016. The main aim of this research was to forecast apricot production of Turkey for the period of 2017-2022. The data of this study was obtained from the database of the Food and Agriculture Organization and the time series covered the period of 1961-2016. Box-Jenkins Model was used to forecast apricot production. In the study, it was determined that the time series were not stationary and the series became stationary after the first difference was taken. Moving Average Model ARIMA (2, 1, 1) was determined as the most appropriate model for the stationary data type. The research results show that apricot production quantities of Turkey in 2017 was forecasted as minimum 383.206 tons, maximum 920.409 tons and, average 651.808 tons. However, Turkey’s the apricot production amount in 2022 was forecasted as minimum 271.734 tons, maximum 1.193.113 tones and average 732.423 tons. Considering the increase in demand, it is thought that apricot production will not be sufficient for the country. To protect the current leading position of the country, it is recommended that the government should give enough support to increase apricot production in Turkey.

Keywords

References

  1. [1] FAO, 2018. Food and Agricultural Organization, http://www.fao.org/faostat/en/#data/PP (Accessed: 27.09.2018) [2] TURKSTAT, 2018. Turkish Statistical Institute, https://biruni.tuik.gov.tr/medas/?kn=92&locale=tr (Accessed: 01.10.2018). [3] İ. Fidan, Economic Analyses of Apricot Production in Igdir Province, Ataturk University, Graduate School of Natural and Applied Sciences, Department of Agricultural Economics, Master Thesis (2009). [4] Y. E. Ertürk, K. Karadaş, M. K. Geçer, Production and Marketing of Apricot in Igdir Province, VII. Bahçe Ürünlerinde Muhafaza ve Pazarlama Sempozyumu, 04-07 October, (2016).pp. 44-49. [5] A. Aslan, The Comparative Economic Analysis of Organic and Conventional Apricot Farms in Malatya Province, Kahramanmaraş Sütçü İmam University, Department of Agricultural Economics, Master Thesis. (2013). [6] O. Gunduz, V. Ceyhan, E. Erol, F. Ozkaraman, An Evaluation of farm Level Sustainability of Apricot Farms in Malatya Province of Turkey, Journal of Food, Agriculture & Environment Vol.9, no, 1, (2011), pp. 700-705. [7] O. Gunduz, Effect of Exchange Rate on Dried Apricot Export in Turkey: A Vector Autoregression (VAR) Analysis, African Journal of Agricultural Research, vol. 5, no, 18, (2010), pp. 2485-2490. [8] O. Gunduz, V. Ceyhan, K. Esengun, Measuring The Technical and Economic Efficiencies of The Dry Apricot Farms in Turkey, Journal of Food, Agriculture & Environment, vol.9, no, 1, (2011), pp. 319-324. [9] M. Karahan, Statistical Demand Forecasting Methods: An Application of Product Demand Forecast With Artificial Neural Networks Method, Selcuk University, PhD thesis, (2011). [10] İ. Dellal, A.A. Koç, An Econometric Analysis of Apricot Supply and Export and Demand in Turkey, Turkey Journal of Agriculture and Forestry, vol. 27, (2003), pp. 313-321. [11] C. Chatfield, “The Analysis of Time Series: An Introduction”, Boca Raton, FL: CRC Press, (2003). [12] G. E. P., Box, G. M., Jenkins, and G. C. Reinsel, “Time Series Analysis: Forecasting and Control”, San Francisco, CA: Holden-Day, (1970). [13] E. Erdogdu, “Natural Gas Demand in Turkey”. Appl. Energy, vol. 87, (2010), pp. 211–219. [14] B. L., Bowerman, T. O. C., Richard, and A. B. Koehler, “Forecasting, Time Series, and Regression: An Applied Approach”. Belmont, CA: Thomson Brooks/Cole, (2005). [15] A., Zaharim, A. M., Razali, T. P., Gim, and K. Sopian, Time Series Analysis of Solar Radiation Data in The Tropics, Euro. J. Sci. Res. 25, (2009), pp. 672–678. [16] D. A., Dickey, W. A. Fuller, “Likelihood Ratio Statistics For Autoregressive Time Series With A Unit Root”, Econometrica, vol. 49, no. 4, (1981), pp. 1057-1072.

Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Authors

Nevra Alhas Eroğlu This is me
Türkiye

Publication Date

December 31, 2018

Submission Date

November 15, 2018

Acceptance Date

January 8, 2019

Published in Issue

Year 2018 Volume: 02 Number: 2

APA
Kılıç Topuz, B., Bozoğlu, M., Başer, U., & Alhas Eroğlu, N. (2018). Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method. Turkish Journal of Forecasting, 02(2), 20-26. https://doi.org/10.34110/forecasting.482914
AMA
1.Kılıç Topuz B, Bozoğlu M, Başer U, Alhas Eroğlu N. Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method. TJF. 2018;02(2):20-26. doi:10.34110/forecasting.482914
Chicago
Kılıç Topuz, Bakiye, Mehmet Bozoğlu, Uğur Başer, and Nevra Alhas Eroğlu. 2018. “Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method”. Turkish Journal of Forecasting 02 (2): 20-26. https://doi.org/10.34110/forecasting.482914.
EndNote
Kılıç Topuz B, Bozoğlu M, Başer U, Alhas Eroğlu N (December 1, 2018) Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method. Turkish Journal of Forecasting 02 2 20–26.
IEEE
[1]B. Kılıç Topuz, M. Bozoğlu, U. Başer, and N. Alhas Eroğlu, “Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method”, TJF, vol. 02, no. 2, pp. 20–26, Dec. 2018, doi: 10.34110/forecasting.482914.
ISNAD
Kılıç Topuz, Bakiye - Bozoğlu, Mehmet - Başer, Uğur - Alhas Eroğlu, Nevra. “Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method”. Turkish Journal of Forecasting 02/2 (December 1, 2018): 20-26. https://doi.org/10.34110/forecasting.482914.
JAMA
1.Kılıç Topuz B, Bozoğlu M, Başer U, Alhas Eroğlu N. Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method. TJF. 2018;02:20–26.
MLA
Kılıç Topuz, Bakiye, et al. “Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method”. Turkish Journal of Forecasting, vol. 02, no. 2, Dec. 2018, pp. 20-26, doi:10.34110/forecasting.482914.
Vancouver
1.Bakiye Kılıç Topuz, Mehmet Bozoğlu, Uğur Başer, Nevra Alhas Eroğlu. Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method. TJF. 2018 Dec. 1;02(2):20-6. doi:10.34110/forecasting.482914

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