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Showing 5 results for Dehghan Shabani

Nematollah Akbari, Rahman Khoshakhlagh, Zahra Dehghan Shabani,
Volume 11, Issue 2 (8-2011)
Abstract

This paper is aimed at analyzing population density, population division and economic distance on regional economic growth, using Panel Data models for 28 provinces of Iran over the period 2001-2006. The results show that religious and ethnic divisions and economic distance have negative effect and population density has positive effect on regional economic growth in Iran.
Zahra Dehghan Shabani, Nematollah Akbari,
Volume 14, Issue 2 (summer 2014 2014)
Abstract

Population diversity, which is defined nationally as ethnic, cultural, religious, and tribal heterogeneities, is a key factor affecting regional economic growth. On one hand, It leads to disparity of preferences, discrimination, counter productivity policies and decreasing regional growth. On the other hand, ethnic and religious mix is of advantages including diversity in abilities, experiences, and cultures that may result in productivity, creativity, innovation and increasing regional economic growth. Thus, there is a trade-off between benefits and costs of heterogeneity of population in a diverse multiethnic society. A question arises here is that whether population diversity has positive or negative impact on regional economic growth? Moreover, what is the effect of population diversity on regional growth in Iran? This paper examines the effects of population diversity on regional economic growth, using Panel Data model for 28 provinces of Iran over the period 1999-2006. The results show that religious heterogeneity (Fragmentation index and Polarization index) has negative effect on regional economic growth in Iran.  
Zahra Dehghan Shabani, Nematollah Akbari,
Volume 15, Issue 2 (summer 2015 2015)
Abstract

The economic distance refers to the ease or difficulty for goods, services, labor, capital, information, and ideas to traverse space. This variable affects the regional economic growth through influencing location of firms, knowledge spillover and market size. This paper examines the effects of economic distance on regional economic growth by using Dynamic Panel Data model for 28 provinces of Iran over the period 2000-2009. The results show that economic distance has negative effect on regional economic growth.  
Mr. Mohammad Dehghan Manshadi, Dr Karim Eslamloueyan, Dr Ebrahim Hadian, Dr Zahra Dehghan Shabani,
Volume 20, Issue 3 (Autumn 2020 2020)
Abstract

The interaction between institutional quality and the mechanism of oil shock diffusion might have a significant effect on macroeconomic dynamics in an oil-exporting country. The literature lacks a formal model to address the role of institutional quality in the economic performance of an oil-rich developing economy. Using a new Keynesian dynamic stochastic general equilibrium (DSGE) framework, this study develops a model to investigate the response of macroeconomic variables to changes in institutional quality resulted from oil shocks in Iran as an important oil-exporting country. Our modeling allows us to show how institutional quality and oil revenues affect households, firms, government, and the central bank. The model is solved and calibrated for the period 1959-2017. The results indicate that the destruction of institutional quality caused by a positive oil shock prevents the Iranian economy from reaping the fruits of an increase in oil revenues. Oil revenues and their shocks by destroying the institutional quality through the expansion of rent-seeking activities, increasing transaction costs of production, reducing the impact of government spending, and diverting monetary and fiscal policies from the targets result in negative effects on Iran's non-oil production in the long run.To reduce the destructive effects of oil shocks on institutional quality in the Iranian economy, we suggest the policymakers in Iran reduce the dependency of the government budget on oil revenues.
Mrs Sara Parang, Dr Zahra Dehghan Shabani, Dr Ebrahim Hadian, Dr Ali Asgary,
Volume 24, Issue 4 (Winter 2024)
Abstract

Aim and Introduction
The housing sector is one of the important economic sectors that, in addition to consumer demand, also faces demand from speculators due to its high capital return rate and low risk level. Speculators, motivated by the desire to profit from future price increases, refrain from offering their houses for sale, resulting in a housing vacancy. The presence of vacant houses reduces the housing supply and can lead to the formation of a housing price bubble. Imposing taxes on vacant houses is one of the government's tools to address this issue. The aim of this study is to examine the impact of taxes on vacant houses on the housing price bubble in the city of Shiraz.
Methodology
In this research, an agent-based model is used, considering four active agents in the housing market: sellers, buyers (including sellers and buyers with personal consumption and speculative motivations), developer, and real estate agencies, to investigate the dynamic processes of the housing market. To forecast the housing prices in Shiraz over an eight-year period, statistics and information by the beginning of 2022 have been incorporated into the model, and three different percentages of speculative buyers, including 30%, 50%, and 70% of the total buyers, along with different tax rates of 10%, 15%, 20%, and 25% have been considered.
Findings
The results of the research show that by applying a tax rate of 10%, if 70% of buyers are speculators, the highest growth rate of the housing price bubble was observed; that the decreasing growth rate was equal to 18%, that is, with application of tax on empty houses, the housing price bubble of Shiraz city in 2022 to the end of 2031 decreased by almost 19%, and after that the application of the tax rate of 15% in these conditions was approximately 17% which reduced the housing price bubble. But when the number of regular buyers is more than speculative buyers (30% of buyers are speculative), the application of different tax rates on vacant houses shows the least reduction effect on the housing price bubble. Therefore, when 70% of the buyers in the market are present in the market with the motive of personal consumption, the number of transactions is low. Since ordinary buyers will re-enter the market with a slight probability, and the majority of transactions are made by the 30% of buyers who are speculative, so applying the tax on vacant houses in the first year will cause a number of speculater to leave the market and the number of transactions will be less than before the tax was applied. In fact, mobilisation of the current stock of housing due to the tax may not have been high enough to affect prices which is consistent with Sego (2019).
Furthermore, the results indicate that increasing the tax rate on vacant houses does not necessarily lead to a further reduction of housing price bubble. When more than half of the housing market is in the hands of speculators, their power in transactions would be greater, and the increase in tax rate in the form of an increase in price will intensify the housing price bubble which could mean more transactions between traders. In fact, traders add tax to the price of the property, and increasing tax rates, in return worsens the bubble. So, here selecting the optimal tax rate becomes critically important. When less than half of the housing market is in the hands of speculators, the power of speculators will decrease as a result, which leads to further weakening of the price bubble. However, to a lesser extent when more than half of the market is in the hands of speculators, the price bubble will decrease.
Discussion and Conclusion
The research results indicate that the implementation of different tax rates, despite varying numbers of speculators, can lead to a reduction in the housing price bubble in the city of Shiraz, although the effectiveness may vary under different conditions. Moreover, it can create an appropriate income for the government, which can reduce the class gap by allocating and optimally directing the resulting resources towards the supply of housing for low-income groups. But the government should be careful in choosing the tax rate. It is necessary to set the tax rate on empty houses in such a way that renting the house or offering it in the market is more economical than keeping it empty by traders. In addition to the tax rate, choosing the tax base is also crucial. As mentioned in the text of the research, some countries consider the value of the property as the tax base instead of the rental income, or a fixed annual tax is collected


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