Journal of Economic Modeling Research

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This paper based on the new empirical industrial organization model (NEIO) examines the impact of market concentration and cost efficiency on bank's profit rate margin in Iran. The study uses the model developed by Azzam (1997) to evaluate the market power and cost efficiency for 15 active banks in the banking industry. The empirical findings indicate a decrease in the market power of banks during the period 2001-2011. It is also shown that the conjectural variations index associated with the loans is -0.96, while demand for the loans is completely inelastic where its value is near to 0.087. Additionally, The market power and cost efficiency in the banking industry have been estimated 0.37 and -0.30 respectively meaning a decrease about 0.3 percent for the bank's profit rate due to the efficiency of cost and an increase about 0.07 percent due to the concentration.

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In recent years, regarding the export of Food & Beverage is important.in Iran and the economic researchers have been noted it. The main objective of this paper is to examine the impact of market concentration as a structural variable, advertising and R&D expenditures as behavioral variables and investment productivity on the Iranian food exports as a performance variable. For this purpose, the data for Iranian food firms has been extracted from the Statistical Center of Iran over the period of 2000-2007. Moreover, the empirical model of this study has been estimated by the Static Panel Data approach (SPD). The empirical results indicate that the market concentration, advertising and R&D intensity and investment productivity have positive and significant effects on the Iranian food exports and the impact of researching intensity (as measured by the ratio of research & development expenditures on sale) is more than other explanatory variables. Therefore, the market conduct is one of the main determinants of Iranian food exports. Also, due to the direct impact of R & D spending effect on exports, we can say that if managers and policy makers increasing the research and development activity in Iranian food industry sector can promote non-oil exports, especially exports of food products in Iran. Moreover, Facilitate and encourage producers to participate in exhibitions and international markets sales increased exports of goods and services can help.

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This paper considers spatial distribution of industrial activities and effective factors on such a distribution. Ellison and Glaeser’s spatial concentration index, has been used for measureing spatial distribution of industry. This index has been calculated by Ad-value variable for 30 provinces of Iran and for period of 2006-2013. So, The spatial panel data model has been used in order to stimate impact of effective factors on spatial concentration. Results of this paper, show that distribution of industrial activities between provinces is strongly unequal. Azarbaijan Sharghi, Markazi, Ghazvin and Tehran provinces by 0.03, 0.04, 0.05 and 0.06 for EG index, are the most industrial provinces respectively. Boushehr, Hormozgan and Ilam provinces with 0.68, 0.28 and 0.26 for EG index are the worst industrial provinces. Also, Results from estimating model show that spatial dependance of provinces is equal to 0.31. Increasing return to scale and transportation costs, each one by 0.07 and 0.001 for coefficient in model, are effective on spatial distribution of industry.