Tax Revenue Productivity on Nepalese Economy

B. Sah
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Abstract

This paper seeks to examine the productivity of Tax Revenue (TR) in the Nepalese economy. It, therefore, analyzes the impact of TR on GDP in aggregate level. This study adopts explanatory research design and attempts to determine the relationship between TR and the GDP. Exchange rate, market capitalization money supply and government spending being the intervening variables included in the model. In order for the specification of a model of co integrated regression model with a time series data of the variables are employed for the study period of 20 years, from 1999/2000 to 2018/19. The values of all the variables are converted into real price (constant price) by GDP deflator. The GDP deflator and CPI year 2013/14 have been assumed equivalent to the base year 2013/14 according to Nepalese fiscal year. Since it is observed that residuals are not normally distributed, autocorrelation and multi-co linearity problem in the model, it is necessary to improve the non-normal distribution, autocorrelation and multi-co linearity problem in the model. Therefore, the data are transposed into first difference and run the model with error correction model (ECMt-n). The R2 shows that the explanatory power of the model, indicating that the variation of GDP is explained to the extent of 81 percent variation of the independent variable included in the model. The estimated coefficient of TR in error correction model shows that one percent point rise in TR has led to0.17645 percent point increase in real GDP in short run, whereas it is found 0.21364 percent point in the long-run. This is supported by (World bank, 2003, 2007, 2018) using a large sample of developing countries observed over the period 1980-2006, and even after factoring in the endogeneity of tax revenue.
尼泊尔经济的税收生产力
本文旨在研究尼泊尔经济中税收收入(TR)的生产率。因此,本文在总体水平上分析了TR对GDP的影响。本研究采用解释性研究设计,试图确定TR与GDP之间的关系。汇率、市值、货币供应量和政府支出作为模型的干预变量。为了规范模型的协整回归模型,采用时间序列的变量数据,研究周期为20年,从1999/2000年到2018/19年。所有变量的值通过GDP平减指数转换为实际价格(不变价格)。根据尼泊尔财政年度,假设2013/14年的GDP平减指数和CPI与2013/14年的基准年相当。由于观察到模型中残差存在非正态分布、自相关和多重共线性问题,因此有必要对模型中的非正态分布、自相关和多重共线性问题进行改进。因此,将数据转置为一阶差分,并使用误差修正模型(ECMt-n)运行模型。R2显示了模型的解释能力,表明GDP的变化被解释到模型中自变量的81%的变化程度。误差修正模型中对TR系数的估计表明,TR每上升1个百分点,短期内实际GDP增长0.17645%,长期内实际GDP增长0.21364%。这得到了(世界银行,2003年,2007年,2018年)的支持,该研究使用了1980年至2006年期间观察到的发展中国家的大样本,甚至在考虑了税收收入的内生性之后。
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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