درخت حوزه‌های تخصصی

In 2010, the World Bank categorized countries by GDP (at Purchasing Power Parity) per capita (at constant 1990 prices) in three categories: low, middle (low and high), and high. If a country falls in a trap at least 28 years in the low middle income and at least 14 years in the high middle income group, then it is included in low and middle income groups, respectively .In this paper, using the experience of successful countries in avoiding the trap, we investigated the impact of investment, human capital, high-tech exports, total factor productivity, exports of goods and services, and the value added of service sectors on per capita GDP growth during 1991-2014, using panel data. Research findings in the literature indicated that in selected Asian countries, human capital and total factor productivity growth with positive and significant effects have the greatest impact on avoiding the trap. In the case of Iran, human capital and the total factor productivity growth have positive and significant effects on the economic growth, but such effects have not been so great to help escaping Iran’s economy from the middle- income trap. Therefore, Iran has remained in the middle- income trap over the past 58 years. JEL Classification: J24, D24, E22, C33.

Foreign trade expansion plays an important role in economic growth and development. Since Iran’s single-product economy is facing tight sanctions, among trading partners, Turkey benefits from special place, and political independence in international relations because of its large population, rising per capita income, high economic growth rate, geographical and cultural proximity to Iran. Many opportunities and substantial capacities have been established for expanding foreign trade between these two countries. To do this, it is necessary to determine the maximum export capacity of Iran to Turkey and whether this capacity has actually been deployed and realized or not. The next question is what the bases of Iran’s export development to Turkey are, and the goods which should be focused on to develop trading. Therefore, the aim of this study was to estimate the maximum export capacity of Iran to Turkey and to determine the commodities with the highest export capacity. The Revealed Comparative Advantage (RCA) index, the Cosine Index, and the General Model of the gravity model were used to evaluate Iran’s export potential and to determine commodities in which Iran has export advantage. Iran’s export potential to Turkey was investigated in various years and in different commodity groups by comparing the rate of export volume of each commodity to total volume of its import by Turkey. Research findings indicated that the highest Iranian export potential value to Turkey was $9,339 million, and just 7.2% of that ($669 million) has been realized. Also, 11 commodity groups formed more than 66% of Iranian potential exports to Turkey. Among them, ‘mineral products’ with $2,730 million, ‘plastics and natural rubber and artifacts made from them’ with 1,185 million, ‘common metals and artifacts made from them’ with $918 million, and ‘products of the chemical industry and its related industries’ with $879 million were respectively the four commodity groups with the highest export potential. JEL Classification: F14]

Remittances are one of the financial inflows that can affect the economic growth of emerging and developing countries through the exchange rate volatility channel. Many small open economies are vulnerable to volatilities and changes in capital inflows so that sudden changes in the exchange rate can affect economic growth negatively by declining investment, trade volume, and profitability. In this study, the effect of the factors that have an impact on the real exchange rate volatility has been investigated and empirically analyzed by using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) and Panel Vector Autoregressive (P-VAR) approaches in the selected developing countries including Iran over the period 1980-2017. The results indicated that remittances had a positive and significant effect on the exchange rate volatility of the studied countries so that an increase in remittances caused volatilities in the real exchange rate. In addition, among other explanatory variables, foreign direct investment and government expenditures had the most negative and positive effects on real exchange rate volatilities respectively.