Mena Countries Group
Saeede Seydabadi; Ali Dehghani; Mohammd Ali Molaei
Abstract
Poverty is one of the most important economic issues in developing countries such as MENA. Poverty causes many social problems such as drug trafficking, theft, prostitution and corruption. On the other hand, corruption is a major problem in developing countries. Corruption destroys resources as well ...
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Poverty is one of the most important economic issues in developing countries such as MENA. Poverty causes many social problems such as drug trafficking, theft, prostitution and corruption. On the other hand, corruption is a major problem in developing countries. Corruption destroys resources as well as impedes the optimal allocation of resources. Statistics show that Iran is at a disadvantage both in terms of poverty and corruption. Therefore, considering the importance of fighting poverty and corruption, the main purpose of this study is to investigate the impact of poverty on corruption. The Human Development Index was used to measure poverty and the World Bank Corruption Control Index was used to measure corruption. The Bayesian Hierarchical method was used to estimate regression. The results showed that the variables of economic growth, and human development index have a negative impact and the variables of trade freedom index, foreign direct investment, and the share of government spending in GDP have a positive effect on corruption.
Energy
ebrahim ghaed; Ali Dehghani; Mohammad Fattahy
Abstract
Abstract: The main objective of this study is to investigate the effect of Types the renewable energy production on Iran’s economic growth during the period of 2008-2017. For this analysis, Vector Autoregressive Model, Johansson-Juselius method and Vector Error Correction Model are used. In accordance ...
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Abstract: The main objective of this study is to investigate the effect of Types the renewable energy production on Iran’s economic growth during the period of 2008-2017. For this analysis, Vector Autoregressive Model, Johansson-Juselius method and Vector Error Correction Model are used. In accordance with the obtained results, the effect of the variables’ coefficients is coincident based on the theoretical foundations and statistically significant. The results indicate that in the long run, the variables of renewable energy investment by the private sector, the power generation from the renewable energy, and the consumption of renewable energies, which are considered as indicators for renewable energies, have a positive and significant effect on the economic growth. The coefficient of the error correction method indicates that about 0.62 of the short-term imbalance is adjusted in each period to achieve the long-term equilibrium. Further, in the long run, a one percentage increase in the labor force variables, renewable energy investment by the private sector, electricity generation from renewable energy, and the Production of Types renewable energies) Wind, Solar, Hydro and geothermal) leads to 0.87, 1.17, 6.44, 4.29, 2.09, 1.78 and 1.56 percentage increase in the economic growth, respectivel and it became clear that It was found that among renewable energy sources, the effect of wind energy on growth is higher than other energies and we have to prioritize investment in wind energy. Therefore, according to the results of the research, the political recommendation is that, considering the process of the types of renewable energy sources in Iran, since wind energy has the greatest effect on economic growth compared to other energy sources. By investing in this unit, the share of renewable energy use in Iran could be increased Key words: Renewable energy, Economic Growth, Vector Error Correction Model and Johansson-Juselius method JEL: O13, C13, G21, C22
Mohammad Ali Molaei; ali Dehghani
Volume 1, Issue 4 , December 2012, , Pages 74-55
Abstract
The main objective of this paper is to investigate the effect of research and development expenditures on the Iranian industry market Share over the period of 1995:1-2007:4. For this purpose, we convert the annual time series data to the seasonal time series data by using of JMALTI econometric software. ...
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The main objective of this paper is to investigate the effect of research and development expenditures on the Iranian industry market Share over the period of 1995:1-2007:4. For this purpose, we convert the annual time series data to the seasonal time series data by using of JMALTI econometric software. The main model of this paper has been estimated by nonlinear LSTAR approach. The result of this study reveals that there is nonlinear positive and significant relationship between research and development expenditures and market share of Iranian industry sector.
Advertising
Firouz Fallahi; Ali Dehghani
Volume 1, Issue 1 , January 2012, , Pages 30-9
Abstract
This paper investigates the effect of concentration and advertising on profitability in Iranian Industrial firms, with more than 9 employees. Dynamic panel data technique is used along with the data during the period 1374-1381 to study this issue. The results show that the concentrated industries have ...
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This paper investigates the effect of concentration and advertising on profitability in Iranian Industrial firms, with more than 9 employees. Dynamic panel data technique is used along with the data during the period 1374-1381 to study this issue. The results show that the concentrated industries have a higher profitability than the others. In addition, advertising has a positive effect on the profit of the Iranian industries.
