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THE ROLE OF COMMODITY DUMPING IN ENCOURAGING THE IRAQI CONSUMER TO BUY NON- ESSENTIAL GOODS: THE ROLE OF COMMODITY DUMPING IN ENCOURAGING THE IRAQI CONSUMER TO BUY NON- ESSENTIAL GOODS
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ABSTRACT

The research aims to study the effect of the commodity dumping phenomenon that Iraq suffered after 2003 on the consumption pattern of individuals, towards the acquisition of non-essential goods (luxury). To achieve our goal we relied on the questionnaire as a main tool for obtaining information related to the research, and it was distributed on a random sample of consumers in the city of Baghdad with 250 questionnaires. The answers of the research sample were analyzed using the statistical program (SPSS). The percentage weights and the factorial analysis method were used also to arrange the variables that affected on changing consumption patterns. The research reached a set of conclusions:

            The degree of impact of the variables (economic, social and geographical) reached to76.503%, which considers as a good percentage of their impact on the consumer. The economic effects ranked first in their impact by changing the consumption pattern and the trend towards buying unnecessary goods, followed by the geographical effects and social effects respectively. One of the most important recommendations of the research was the quantitative and qualitative determination of the goods allowed to enter the local markets in accordance to quality standards, imposing high customs tariffs on imported goods, especially those non-essential goods, and control of border ports. 

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Publication Date
Tue Feb 24 2026
Journal Name
Imam Ja'afar Al-sadiq University Journal Of Legal Studies
Confronting the holder of the mortgaged property with the authority of the mortgagee in the pursuit
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Publication Date
Fri May 30 2025
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Iraqi Journal Of Science
A Novel Approach for Synthesizing the Pan-chromatic Band to (10 m) of Landsat 9 Based on Sentinel-2 Data to Improve Classification Performance
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This study investigates the impact of spatial resolution enhancement on supervised classification accuracy using Landsat 9 satellite imagery, achieved through pan-sharpening techniques leveraging Sentinel-2 data. Various methods were employed to synthesize a panchromatic (PAN) band from Sentinel-2 data, including dimension reduction algorithms and weighted averages based on correlation coefficients and standard deviation. Three pan-sharpening algorithms (Gram-Schmidt, Principal Components Analysis, Nearest Neighbour Diffusion) were employed, and their efficacy was assessed using seven fidelity criteria. Classification tasks were performed utilizing Support Vector Machine and Maximum Likelihood algorithms. Results reveal that specifi

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Publication Date
Sun Sep 01 2019
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