African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6848

Full Length Research Paper

Estimating and forecasting red meat consumption and production in Saudi Arabia during 2022-2030

Emad S. Aljohani
  • Emad S. Aljohani
  • Department of Agricultural Economics, College of Food and Agricultural Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
  • Google Scholar
Abdul Aziz Al Duwais
  • Abdul Aziz Al Duwais
  • Department of Agricultural Economics, College of Food and Agricultural Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
  • Google Scholar
Mahmoud Mohamed Mahmoud Alderiny
  • Mahmoud Mohamed Mahmoud Alderiny
  • Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
  • Google Scholar


  •  Received: 05 June 2024
  •  Accepted: 05 June 2024
  •  Published: 30 June 2024

Abstract

The study aims to predict domestic consumption and the production of three meat species (cattle, goats, and sheep) between 2022 and 2030. All series data in addition income per capita as exogenous variable are stationary at the first difference. So vector autoregressive model with exogenous variables  was applied, according to information criterion ( ) the  model of order  without an intercept term and a trend is the best model for predicting domestic meat consumption. Furthermore, the vector autoregressive  model with an intercept and trend is the best predictor of meat production for the three types. The predicted value of production for cattle and sheep seems to have fallen throughout the forecast period; conversely, it appears to have increased for goats. On the other hand, cattle and sheep increased in domestic consumption, whereas goats decreased over the estimation period.

Key words: Animal production, animal consumption, forecasting of red meats, vector autoregressive  model, vector autoregressive with exogenous variable  model, unit root test, .