Development of a fuzzy multi-criteria model to prioritize strategies to increase tax revenues through tax policies affecting employment
Mohammad Fahkrabadi, Hasan Khademi zare, Afarin Akhavan
Abstract
Tax is considered an undeniable reality in human societies. This fact exists in rich countries with natural resources as well as the ones lacking such wealth. Today, one cannot study an economy in the world that does not recognize tax as a contributing factor. In Iran, according to the fourth development plan, credit costs should be supplied from non-oil sources, and according to statistics, achieving this goal seems difficult. Presence of effective tax policy is one of the important factors in achieving tax goals. However, formulation of these policies is a multidimensional and difficult task and requires benefitting from collective wisdom of main beneficiaries of tax in various sectors of economic activities. The purpose of this study is to develop policies to increase tax revenues of the government, their evaluation, and the quality of effects of policies on employment. For this purpose, we tried to identify the policies and study their effects in form of Delphi process and multiple targets using tax-economy experts’ views. Moreover, because of differences in perceptions of the words low, medium and high, we studied the responses of the experts as fuzzy numbers. Delphi process was conducted in the study with multiple goals, ended after three stages, experts reached a consensus over their views, and identified appropriate policies to increase tax revenues and improve employment. Experts examined each of the proposed policies separately, and their opinions about the intensity of effectiveness were evaluated using Delphi method, so that the experts reached consensus at the end. Using Fuzzy Analytic Hierarchy Process (AHP) and Fuzzy Delphi, we ranked effective tax policies. The results of this study have explained priority of tax policies to achieve the purpose of employment.