Suha Al Ahmad(1) Mohammad Taher Anan(1) Mustafa Haj Hmaidi(2) Yaeseen Karmota(1)

(1). Dept. of Statistics, Faculty of Sciences, Univ. of Aleppo, Postgraduate Student

(2). Dept. of Agricultural Economics, Faculty of Agriculture, University of Aleppo

(Corresponding author: Suha Al Ahmed. E-Mail suhaalahmed1987@gmail.com)

Received: 02/12/2019 Accepted: 13/01/2020

Abstract

The aim of the research is to estimate the grain production function for several Arab countries, that were selected because they are considered grain producing countries: (Syria, Algeria, Egypt, Sudan, Iraq, Morocco, Saudi Arabia) for the period between 2014 to 2016, where the study included five variables, grain productivity is the dependent variable and the following four independent variables which are: agricultural Labour force, agricultural tractors, consumption of Nitrogen fertilizer and consumption of Phosphate fertilizer.Panel data techniques have been used to estimate the grain production function. By presenting and clarifying how to choose between the three models of the panel: pooled regression model, fixed effects model and random effects model. Several tests were used to select the best model by studying the explanatory variables that affect production.The differential models between panel models indicated that pooled regression model is the model that gives us the best estimate of the amount of production and through which we can also predict.

Keyword: The grain production function, Arab countries, Panel Models, Pooled Regression Models, Fixed effects Model, Random effects Model

Full paper in Arabic: PDF