Iranian Journal of Economic Studies
Volume:5 Issue: 2, Autumn 2016

Industrial subsidy is one of the important tools in support of the national production that plays a crucial role in the realization of a resilient economy. Regarding limited financial resources, it is important to determine how these subsidies can be distributed efficiently. Accordingly, the purpose of this study is to provide a model for allocating industrial subsidy among 22 manufacturing industries at the level of 2-digit ISIC codes using the ZSG-DEA model based on the merging of the concepts of game theory with the DEA, and also four effective criteria in allocating public resources namely, industrial added value, the number of industrial employees, the amount of direct export and the amount of industrial taxes and duties. The results of the study show that the food and beverage industry should receive the highest proportion of the optimum subsidy, whereas industries related to manufacturing office machines, accounting and computing machinery, radio, television, communication devices, wearing apparel, tanning and polishing leather and leather goods, fur, and manufacturing tobacco products should receive the lowest proportion of industrial subsidies.

The aim of this paper is to assess the sign and magnitude of the nonlinear effects of main socio-economic variables as well as the financial development index(measured by private credit to GDP ratio) on the environmental pollution. Specifically, the interaction of the socio-economic variables with financial development as a threshold variable in affecting CO2 emission is studied. In this respect the PSTR(Panel Smooth Transition Regression) technique is applied to a panel-data set for 16 middle income countries (including Iran) during the period 1970-2013.It is found that output level and energy use have positive significant effect on CO2 emission on the whole but their effects at higher levels of financial development decrease and increase respectively i.e. financial development has provided motivations for shifting to eco-friendly technologies on the whole but has not been effective for applying fuel efficient technologies . The effect of population on CO2 emission at higher levels of financial development, intensifies . As to the effect of financial development ,it has a positive significant effect on pollution with a threshold level of 34 percent for financial development index i.e. up to this point ,the effect of financial development on the increase of pollution, rises at an increasing rate

the present paper evaluates the effect of investment risk spillover on key economic indicators using a CGE model and the GTAP.9 database have been used for this purpose. Two scenarios of 10% and 3% increase in investment risk are considered in order to investigate the effect of these changes according to a recent trend analysis of economic indicators in Iran and the trend of the Iranian economy towards globalization and opening of the economy windows. The results show that both scenarios reduce investment risk, inflation, gross domestic product and total investment. Government expenditures are reduced in all sectors of the economy except for the service sector, which is almost unchanged. The exports are increased in all sectors and the imports are declined in sectors of agriculture, industry and services. As well as, the results show that the import of the oil and gas sector has not been heavily influenced by the investment risk due to its governmental status. By assessing these two scenarios and the sensitivity of the macroeconomic indicators to the degree of risk change, it can be stated that the key economic indicators will be significantly improved by managing the risk of investment.

Food products account for a significant amount of the Iranian imports. Despite the rising prices of food products over the last two decades, their imports have been increasing too. In this study import demand of the main imported food products is empirically analyzed using Quadratic AIDS. Welfare impacts are measured using compensated variation. The results indicate that all products, except tea and cheese are own price inelastic. In general, price response of food imports is found low. Rising prices of the products as high as their trend over the last two decades has resulted in an annual welfare loss of 2.2 percent.

The ICT is one of the main determinant factors of e-commerce industry such as tourism industry in developing countries like Iran. For this purpose, the main objective of this paper is to investigate the long-run relationship between ICT indices such as internet users, government expenditures on ICT to the GDP and mobile cellular in Iranian economy during the 1976-2014. The empirical model has been estimated by applying FMOLS co-integrating method as a sophisticated econometric methodology. The results of empirical results indicate that there is a long-run relationship between ICT indices and tourism demand indicators like number of tourist arrival in Iran. Moreover, the other explanatory variables such as living cost, real exchange rate and behavioral habit have negative and positive effects on the tourism demand respectively. The investment of government in ICT indices such as improving the share of ICT expenditures in GDP and enhancing the ICT quality are the important policy implications of this study

Banks may well perform differently in lending to firms according to their funding structure. This paper surveys the relation between Loan volatility and deposit in Iranian banking system. The extent to which bank lending is connected to funding structure is affected by the banks’ characteristics (such as capital structure, profitability, and the measure of non-performing loans). To analyze this relation, therefore, this paper uses Dynamic panel data of banks.
This paper using a unique dataset of Iranian banking system and dynamic panel data show that loan volatility has statistically strongly significant effect on the deposits. Banks respond to loan shocks by mainly adjusting their deposits volumes. This paper measures bank uncertainty by measures of bank loan volume volatility and use the GARCH Method. According to the results, Loan SD and loan GARCH as Loan volatility have negative effect on deposit ratio in Iranian banking systems.