Evaluation of Ethiopia's Bilateral and Potential Exports in the Middle East: A Gravity Model Approach

dc.contributor.advisorGeda, Alemayehu (Dr)
dc.contributor.authorAragie, Abdulaziz
dc.date.accessioned2021-03-26T13:57:27Z
dc.date.accessioned2023-11-04T10:28:43Z
dc.date.available2021-03-26T13:57:27Z
dc.date.available2023-11-04T10:28:43Z
dc.date.issued2009-06
dc.description.abstractThe study analysis the major determinants of Ethiopian's bilateral exports and explores the unexploited export potentials that the country may have in the Middle East using two different methods. First, the augmented gravity model estimated by G2SLS estimation technique using 13 years data of 15 exporting partners. The estimated coefficients then used to analyze the existing bilateral export and predict the export potential that the country could have in the three Middle Eastern countries. Accordingly, GDPpc of both exporting and importing countries found to have positive and significant impact on Ethiopia's bilateral exports whereas, distance between countries negatively affect their bilateral trade. In this light, the export potentials of the country are estimated using the estimated coefficients of the gravity model. Accordingly, Ethiopia has the highest unexploited potential in UA. E and significant amount in Saudi Arabia. Secondly, Using the lTC measure, the potential to increase Ethiopian's export in these countries and the top 20 commodities that highly contribute to increase the county's export potential are also identified. The finding of this index shows that gold, coffee and tea, fruits and vegetables, live animals, meat and meat preparations and cut flowers are among the products that have the highest potentials to increase Ethiopia's Export in the Middle East.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/25719
dc.language.isoenen_US
dc.publisherA.A.Uen_US
dc.subjectGravity Modelen_US
dc.subjectExport Potentialsen_US
dc.titleEvaluation of Ethiopia's Bilateral and Potential Exports in the Middle East: A Gravity Model Approachen_US
dc.typeThesisen_US

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