The uncertainty effect of oil revenues on indirect taxes using fuzzy logic

Document Type : Research Paper

Authors

1 Assistant Professor of Economics, Department of Economics, Faculty of Economics, Management and Accounting, Payame Noor University, Tehran, Iran

2 Assistant Professor, Department of Economics, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran

Abstract
EXTENDED ABSTRACT
INTRODUCTION
The impact of oil revenues on tax revenues has been investigated and analyzed in various studies, and there are two different and opposing views in this regard. According to the first view, governments try to use oil revenues for public expenses and reduce tax revenues to maximize the welfare of society and the satisfaction of public opinion. With this, the increase in oil revenues is replaced by a decrease in tax revenues. From the second point of view, governments in oil-rich countries, by investing oil revenues in other economic sectors, cause the growth of these sectors and, in this way, help to increase tax revenues. This discussion of which view can be correct in a country is of great importance in planning and budgeting. On the other hand, there has always been uncertainty in the oil market, and in most cases, it has been able to affect the economies of the countries that export it. As a result, in making economic decisions, it is necessary to consider the uncertain effect of oil revenues on tax revenues in policy making. Accordingly, the current research has investigated the impact of tax revenues and, in particular, indirect taxes on the uncertainty of oil revenues themselves.
METHODOLOGY
This research has been done using fuzzy regression from 1991 to 2021 for Iran's economy. The research model was taken from Abdelwahed (2020), which was adjusted according to Iran's economy. Oil revenues, the uncertainty of oil revenues, the gross domestic product without oil, imports, the literacy rate, the added value of service sectors, agriculture and industry, the inflation rate, the exchange rate, the growth of the government's construction budget, and the size of the underground economy are the independent variables of the model, and the ratio of indirect taxes to GDP is the dependent variable of the model.
FINDINGS
The estimation of the model was estimated by using fuzzy regression and considering the symmetrical triangular number, the results of which are shown in Table 1.
 
 
Table 1. Model estimation results based on fuzzy regression
   Source: Research results
 




Variable


Fuzzy Coefficients




a


s




Intercept


29.043


2.009




GDP Without Oil


1.9709


0.0001




Oil Revenues


-0.0237


0.0297




Uncertainty of Oil Revenues


-0.0971


0.0039




Import


0.0354


0.0007




Exchange Rate


-0.0742


0.0012




Literacy Rate


0.5660


0.0031




Inflation Rate


-0.0953


0.0009




Added Value of the Industry


0.8431


0.0010




Added Value of Agriculture


-0.0973


0.0017




Added Value of Services


0.9716


0.0030




Underground Economy


-0.0768


0.0087




Construction Budget Growth


1.0114


0.0076




 
 
In Table 1, oil revenues with a fuzzy coefficient (0.0297, -0.0237) have a small effect on indirect taxes. Although the average effect of this variable is negative (-0.0237) because the fuzzy interval includes zero and positive numbers, it cannot be an important and influential factor in the absorption of indirect taxes. Analyzing the ambiguity of this coefficient, it can be said that with the increase in oil revenues, the motivation of the government to attract indirect taxes will decrease to a great extent because the government provides its budget from the sale of oil. On the other hand, the range of positive numbers in this coefficient confirms that the import tax is more affected by the revenues from oil. According to the obtained fuzzy number, none of the above two effects are dominant in the absorption of indirect taxes, and the ambiguity of the fuzzy coefficient is the reason for this. In Table 1, the uncertainty coefficient of oil revenues is equal to (0.0039, -0.0971), which shows that uncertainty has a negative and significant effect on indirect tax revenues. The maximum effect of this variable on attracting indirect taxes is 0.0932, and its minimum effect is 0.1010. The average effect of this variable on indirect tax revenues is -0.0971.
CONCLUSION
The results showed that the uncertainty of oil revenues has a negative effect on indirect taxes in Iran's economy. Therefore, a one percent increase in the uncertainty of oil revenues reduces indirect taxes by 0.097 percent. In other words, the uncertain increase in oil revenues, which can be caused by various factors such as oil price fluctuations, sanctions, and restrictions on oil sales, can increase the budget deficit by affecting indirect taxes.
 

Keywords

Subjects
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  • Receive Date 27 July 2023
  • Revise Date 28 September 2023
  • Accept Date 24 February 2024
  • First Publish Date 24 February 2024
  • Publish Date 20 February 2026