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Showing 2 results for Nasr Esfahani

Dr Nematollah Akbari, Dr Majid Sameti, Dr Saeed Samadi, Reza Nasr Esfahani,
Volume 1, Issue 1 (10-2010)
Abstract

Municipalities are kind of organizations that due to their diversity in functions and obligations play important roles in urban management .Financing the administration of obligations (urban public finance) is one of the principal tools in achieving targets and urban-related plans. With a glance at the structure of current revenue sources of this administration, it can be found that there is a considerable dependence on the revenue from building permits. This has inappropriate consequences for the economy of cities. Hence, providing an appropriate model that in addition to the quality of being operational and administrative has also the suitable properties can help both the local managements and city economies. To finance municipalities, specific criteria have been offered. In this study, in addition to classifying and grading the presented criteria, the current sources (revenue items) have also been graded, using multi-criteria decision making. And also the pattern of minimum expenditures supply has been modeled. The analysis of urban public finance in Isfahan and generally in Tehran shows that despite having the proper potentials in acquiring some revenues the urban management system relies heavily on building permit. In metropolitan areas, up to 50% of expenditure is obtained from building permit. This is not an appropriate financial strategy. Finally, we suggest that municipality should finance all of its expenditures through tax on pollution and fuel, consumption tax and property tax.
Dr. Mahdi Ghaemi Asl, Dr. Mohammad Nasr Esfahani, Ms. Elham Sadat Mirshafiei,
Volume 14, Issue 51 (5-2023)
Abstract

In this research, the behavior of the international Islamic capital market in the three periods before Corona, Corona and after Corona, as well as multi-fractal analysis is carried out on Sharia-compliant stock markets. Multifractal Detrended Fluctuation Analysis (MFDFA), Multiscale multi-fractal analysis (MMA), are the methods used in this study. We used the Dow Jones index data from 2011 to 2022, the variables are the emerging countries, developed countries, Asia Pacific, America and Europe. The research results shows that Corona has reduced the efficiency of all variables. In all periods, the variables are ineffective, except for the Asia variable in the pre-Corona period, developed countries and America in the post-Corona period. Also, all the variables had persistency in the Corona period. But in the pre-corona period, all the variables had an anti-persistency behavior, except for the variable of emerging countries, which had a persistence behavior, and the variable of Asia, which had a random behavior. In the post-corona period, all the variables have had an anti-persistence behavior, except for the variable of developed countries, which has had a random behavior.


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