مجلة دراسات الإنسان و المجتمع

This paper examines the impact of fiscal policy tools, which help attracting FDIs (foreign direct investments) to Libya between 2000 and 2015, a quantitative approach has been adopted using self- regression analysis, which is followed by Werner granger's causality and impact reaction (IRF) tests, the consequences of analyzing relation between FDI in Libya and certain financial policy instruments agree with regression models analyzing GDP, institutional tax rate, and human capital (work force), In addition, the R multichannel value and the 0.825 ("R" column) value represent high correlation between Durbin Watson d = 1.892 and all the variables in the model, because this value lies in the range 0..562

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إصدارات المجلة

البحوث و الدراسات

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