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Correlates of High Technology Exports Performance in the Philippines

机译:菲律宾高科技出口业绩的相关性

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This study presents empirical evidence among the predictor variables of foreign direct investment (FDI), energy investment, official development assistance, and gross domestic product (GDP) which have a bearing on the growth of high technology exports in the Philippines. Data sets of indicators used in the study had been downloaded from the World Development Indicators website covering the period 1991-2016. The data were processed and analyzed utilizing the symbolic regression analysis through machine learning, the Nutonian Eureqa Desktop. The results of the study revealed that foreign direct investment and official development assistance have significant contributions to the development and manufacture of export-driven commodities classified by the Organization of Economic Cooperation and Development as high technology exports. On the other hand, the gross domestic product has a negative impact while energy investment has no contribution to exports development at all. Further, the results likewise demonstrated that strong causal relationships between high technology exports and the variables evidenced by a very high R2 goodness of fit of 0.82 signifying 82% of variations in high technology exports could be explained by the predictor variables included in the transfer. The study concluded that two relevant information was obtained. First, the indicator of official development assistance is only suitable in the short run period. Second, the gross domestic product will continue to decline if continuous trade deficit pervades in the long run period.
机译:这项研究提供了外国直接投资(FDI),能源投资,官方发展援助和国内生产总值(GDP)的预测变量中的经验证据,这些变量与菲律宾高科技出口的增长有关。该研究中使用的指标数据集已从世界发展指标网站下载,涵盖了1991-2016年期间。通过机器学习Nutonian Eureqa Desktop,使用符号回归分析对数据进行处理和分析。研究结果表明,外国直接投资和官方发展援助对经济合作与发展组织列为高科技出口的出口驱动型商品的开发和生产做出了重大贡献。另一方面,国内生产总值产生负面影响,而能源投资对出口发展完全没有贡献。此外,结果同样表明,高科技出口与变量之间的强因果关系以0.82的非常高的R2拟合度证明,表明高科技出口的82%的变化可以通过转移中包含的预测变量来解释。研究得出结论,获得了两个相关信息。首先,官方发展援助指标仅在短期内适用。第二,如果长期持续出现贸易逆差,国内生产总值将继续下降。

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