Abstract
The development disparity model focuses on the difference in the trade yields of countries by considering the nature of the trade balance in the advanced sectors. This paper employs the non-linear Artificial Neural Network technique for ten developing countries in the analysis section. According to the analysis outcomes, while China and Thailand's aggregate international trade yields have an ascending tendency, Indonesia, Paraguay, Colombia, Turkey, Argentina, and Mexico's aggregate trade yields exhibit a drastic descending trend. On the other hand, the tendency of aggregate trade yields in India and Brazil is generally negative, yet this tendency is decreasing inconsistently.
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