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Universiti Putra (2014)

Supply response of wheat and barley in Iraq

Gawad, Taleb Ali

Titre : Supply response of wheat and barley in Iraq

Auteur : Gawad, Taleb Ali

Université de soutenance : Universiti Putra

Grade : Master of Science (MS) 2014

Résumé partiel
Iraq’s agricultural sector employs more than 30% of the population and it is the main source of food for the population as well as animal feed. It also provides raw material for processing for many industries in Iraq. Wheat and barley can be considered as the most important major cereal crops in Iraq and the world for being the main food crops for the majority of the world’s population, and its strong strategic relationship to food security. In Iraq, cereal production has been marked by fluctuations during 1980-2011 with an average annual production of 2,364 thousand tons, ranging from the highest production of 2,586 thousand tons in 2002 and the lowest production of 1,099 thousand tons in 1984. This fluctuation in production is due to several different reasons, including water scarcity, low rainfall, and not encouraging pricing policies and because of political circumstances. All these variables caused the reducing in the production of many crops, especially wheat and barley production in Iraq. Many variables affect the supply response on crops, the majority of the researchers usually focused on price and non-price variables, but they had not specified the kind of the irrigation. It can be clearly seen in this study was specified the kinds of irrigation for two kinds of irrigation firstly the irrigation by the river and secondly the irrigation by the rainfall, as well as the auto-regressive distributed lag Model (ARDL), Bounds testing approach to Co integration and the error correction model applied in this studythe auto regressive distributed lag (ARDL)model(Pesaran, Shin, & Smith, 2001). Production of wheat and barley was represented the dependent variable and the cultivated area, irrigation and crop price was represented the independent variables (explanatory variables). The unit root test was applied to understand these variables were stationary or not stationary by the ADF (Augmented Dickey-Fuller test).From ARDL, the F-statistic was used to test for Co integration between the variables.


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