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Effects of Macroeconomic Variables on Gross Domestic Product (GDP) in Pakistan

机译:宏观经济变量对巴基斯坦国内生产总值(GDP)的影响

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This research investigates the Effects of Macroeconomic variables on GDP of Pakistan. Gross Domestic Product (GDP), chief indicator of an economy, shows that for a long time, Pakistan economy was backward. The years after independence, the size of Real GDP, Per Capita GDP and their growth rates was small but improved from 1990. In this study the GDP of the 64 districts in Pakistan at current market prices are considered. The factors which have effects on the gross district product in the year 2010-2011 are measured here. Here Principal Component analysis and Maximum Likelihood method of factor analysis are used for the seventeen variables of the gross district products of 64 districts. The results show that seventeen variables contributing to our GDP have been classified into three factors. Then we rename these three factors from principal component analysis as service factor, agriculture & infrastructure factor, and fishing & mining factor. In maximum likelihood method we rename the factors as service factor, agriculture & infrastructure factor, and education factor. At last we compare the factor scores as district-wise for the three factors to reflect their significance. The study finds a clear shift of contribution by the macroeconomic variables to the GDP of Pakistan from agriculture to 'non-agriculture' sectors.
机译:本研究调查了宏观经济变量对巴基斯坦GDP的影响。国内生产总值(GDP),经济的首席指标表明,长期以来,巴基斯坦经济向后。独立之后的几年,实际GDP的规模,人均GDP及其增长率很小,但从1990年改善。在这项研究中,巴基斯坦64个地区的GDP考虑了当前市场价格。这里测量了对2010 - 2011年全年地区产品产生影响的因素。这里主要成分分析和因子分析的最大似然方法用于64个地区总区产品的十七个变量。结果表明,为我们的GDP提供的十七个变量已被分为三个因素。然后,我们将这三个因素从主要成分分析中重命名为服务因素,农业和基础设施因素和渔业和采矿因子。在最大可能性方法中,我们将因素重命名为服务因素,农业和基础设施因素和教育因素。最后,我们将该因子分数与区域明智的比较,为三个因素反映其重要性。该研究发现,宏观经济变量对巴基斯坦GDP的贡献贡献明确转变为“非农业”部门。

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