A Pair-Models Idea for FDI and Economic Growth in Romania

D. Andrei
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Abstract

Studying correlation between foreign direct investments (FDI) and economic growth might be as generous idea as meeting enough defaults and obstacles when put into practice. Then, the pair-models idea (Voivodas 1973) looks appropriate for such a study since determination complexities and environments of the two are the same and concomitantly acting. Actually, imagine a list of variables with concomitant time data, of which two will shift position between exogenous and endogenous. Two apparently distinct models will so result as pair-models, whereas the two variables that were presumably suspected for a significant interrelation are FDI and economic growth, due to their similarly influential environments and complexity degrees of determination. And as pair-models, the two are supposed to be symmetrical for both data used and significance. So, basically, models will be both linear, but unfortunately they won’t respect this symmetry principle in all details due to some other requirements applied.
外商直接投资与罗马尼亚经济增长的双模型研究
研究外国直接投资(FDI)与经济增长之间的关系可能是一个慷慨的想法,就像在实践中遇到足够多的违约和障碍一样。然后,配对模型的想法(Voivodas 1973)看起来适合这样的研究,因为两者的决定复杂性和环境是相同的,并同时起作用。实际上,想象一下,有一个伴随时间数据的变量列表,其中两个将在外生和内生之间转换位置。因此,两个明显不同的模型将产生成对模型,而可能被怀疑具有重要相互关系的两个变量是外国直接投资和经济增长,因为它们的影响环境和决定程度相似。作为成对模型,这两个模型在使用的数据和重要性上都应该是对称的。所以,基本上,模型都是线性的,但不幸的是,由于一些其他的要求,它们不会在所有的细节上都尊重这个对称原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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