An Analysis of Tabriz Municipality Financing Methods withEmphasis on Sustainable Income

Achieving a sustainable financial pattern to finance both current and developmentalcosts of the city is considered as one of the most important factors of urbansustainability, which allows investment in city’s infrastructure development system. Inthe current research, by investigating the income figures of the Tabriz Municipalityfrom 2013 to 1396, the 5-year procedure of income developments of this metropolisand also its path toward sustainability or unsustainability have been investigated, thenthe status of sustainable incomes in the financial system of the Municipality of Tabrizmetropolis have been identified in order to develop an appropriate pattern of urbanincomes management. In this regard, type of the research is applied and its method isdescriptive-analytical. The methodology of this article is centered on the quantitativeand joint approaches of documentary-library techniques. Accordingly, analysis of the5- year revenue resources of the municipality of Tabriz has been conducted by usingthe questionnaire tool along with structural equation model in Micmac software. Theobtained results represented that the highest amount of income was recorded for the year of 1394, while the lowest figure was registered for the year of 1392, and hencefrom 1394 onwards, the sustainable income sources of the municipality of Tabriz metropolitan area have been decreasing. Notwithstanding the decrease in the incomeof Tabriz metropolis in terms of the total budget in 1396 compared to 1392, the totalincome of this metropolis has been decreased compared to 1396 in its peak period(2015). In other words, a tangible part of reducing the unsustainable income of Tabrizmetropolis compared to its sustainable income is result of declining the whole incomeof the city, which has no relation to its sustainable income management. From the 48factors affecting the sustainable development of the municipality's income, 10 factors including A3, A10, A7, A4, A5, A8, A6, A2, A1, and A13 were identified with thehighest direct impact score.