This study presents empirical evidence among the predictor variables of foreign\ndirect investment (FDI), energy investment, official development assistance,\nand gross domestic product (GDP) which have a bearing on the growth\nof high technology exports in the Philippines. Data sets of indicators used in\nthe study had been downloaded from the World Development Indicators\nwebsite covering the period 1991-2016. The data were processed and analyzed\nutilizing the symbolic regression analysis through machine learning, the Nutonian\nEureqa Desktop. The results of the study revealed that foreign direct\ninvestment and official development assistance have significant contributions\nto the development and manufacture of export-driven commodities classified\nby the Organization of Economic Cooperation and Development as high\ntechnology exports. On the other hand, the gross domestic product has a\nnegative impact while energy investment has no contribution to exports development\nat all. Further, the results likewise demonstrated that strong causal\nrelationships between high technology exports and the variables evidenced by\na very high R2 goodness of fit of 0.82 signifying 82% of variations in high\ntechnology exports could be explained by the predictor variables included in\nthe transfer. The study concluded that two relevant information was obtained.\nFirst, the indicator of official development assistance is only suitable\nin the short run period. Second, the gross domestic product will continue to\ndecline if continuous trade deficit pervades in the long run period.
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