Forecasting to measure the development of food industries in Algeria using time series models

Authors

  • Dr. ZENNADI Zina
  • Dr. ABDI Mohamed Said

DOI:

https://doi.org/10.56989/benkj.v1i2.639

Keywords:

ARIMA models , time series , forecasting , food industries

Sustainable Development Goals (SDGs)

SDG 2
SDG 2 Zero Hunger
57%

Abstract

This research aims to determine the best and most efficient model through the use of time series models to study and analyze the annual data of the added values of the food industries in Algeria for the period from 2010 to 2019, whereas this models are distinct with high accuracy and flexibility in time series analysis. The applied results showed that the appropriate and efficient model for representing the time series data is the ARIMA (1,1,1) model.

According to the results of estimating this model, the added values of the food industries were predicted for the period from 2020 to 2030, as these values showed consistency with their counterparts in the original time series.

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References

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ثانياً: المراجع الأجنبية

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الرومنة Romanization

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Published

10/01/2021

Issue

Section

Articles

How to Cite

ZENNADI , Z., & Mohamed , A. (2021). Forecasting to measure the development of food industries in Algeria using time series models. Ibn Khaldoun Journal for Studies and Researches, 1(2). https://doi.org/10.56989/benkj.v1i2.639