Showing 15 results for Trade
Dr Mehdi Taghavi, Dr Esfandyar Jahangard, Rashed Safavi,
Volume 2, Issue 3 (3-2011)
Abstract
The purpose of this article is to study the factor content of trade in Iran. To improve the trade affair, Iran needs a suitable model for production, export and import of required goods. Factor content of trade detects and amplifies it to pay. In this paper using (HOV) model and input-output (IO) we evaluate factor content of trade in different sectors in 1991-2001. The results show that Factor content of trade in 67 percent of the activities (28 sections) has been negative and 33 percent of the activities (13 sections) are positive
Sajad Ebrahimi,
Volume 2, Issue 3 (3-2011)
Abstract
This study investigates the effects of terms of trade shocks and international reserves on the real effective exchange rate. For this purpose is used panel data technique and data related to 20 countries for 1980- 2008 period. Estimation results show that international reserves have buffer effect in terms of trade shocks and cause terms of trade shocks have less effect on real exchange rate. Of course this result confirms in developing countries, but don’t confirm in developed countries. In addition according to results, reserve effect in reduction terms of trade shocks effect in oil exporting countries is more than other countries. Also, according to estimations in this study, increase in financial development reduces buffer role of international reserves.
Ahmad Tashkini, Amir Reza Soori,
Volume 3, Issue 10 (12-2012)
Abstract
In this paper we revisited the recent study examines the determinants of Intra-Industry Trade (IIT) in the agriculture, industry and services sectors between Iran and European :::union:::, ECO, GCC and ASEAN countries in the period 1980-2009, using a dynamic panel data.
This study uses country-specific characteristics as explanatory variables. The results indicate that IIT is a negative function of the difference in GDP per capita between Iran and trade partners. There is also a statistically significant relationship between IIT and the countries demand similarities. Results also reveal the importance of the size of economy and product diversification in intra industry trades. Finally the hypothesis that trade increases by a decrease in transportation costs can’t be rejected.
Dr Hassan Tahsili,
Volume 4, Issue 13 (10-2013)
Abstract
In economic literature especially in international economic literature, the Harberger, Laursen and Metzler (HLM) effect is an important issue. According to HLM effect, deterioration in the terms of trade decreases GNP and then causes deterioration in the current account.
The main idea of this study is the examination of HLM effect in Economy of Iran. We use annual data of current account, terms of trade and GNP as relevant variables. In this paper ARDL approach was applied for period (1978 -2010).
The Banerjee, Dolado and Mastre and also Pessaran and shin cointegration test verified the equilibrium long run relation between our variables. In the other words the results of econometric estimation indicated a long run relationship between current account, terms of trade and GNP. According to these results, terms of trade and GNP have direct effects on current account.
Dr Ahmad Jafari Samimi, Saman Ghaderi, Salahaddin Ghaderi, Taha Ketabi,
Volume 4, Issue 13 (10-2013)
Abstract
The purpose of this study is to evaluate the impact of trade openness and economic globalization on employment. This study employs the Bounds test method and Autoregressive Distributed Lag(ARDL) model for Iranian economy during 1979-2009. Comparing with the other empirical studies, this study in addition to traditional index of trade liberalization as trade openness has been applied the new and more comprehensive economic globalization index as one dimension of the new KOF globalization index. This index includes the actual flows of trade such as trade, foreign direct investment and portfolio investment, and restrictions such as trade barriers and tariffs on actual flows. Also, the other control variables effective in employment such as GDP per capita, industrialization and government size has been considered. The results show a negative relationship between trade openness and employment but they show that the impact of economic globalization on employment is positive. Thus, it seems that the new economic globalization (KOF index) which is a broader comprehensive index is a better proxy of globalization.
Masoud Sadeghi,
Volume 6, Issue 19 (3-2015)
Abstract
In many Developing Countries liberalization of international trade has been accompanied by demand for skilled labour and inequalityof wages.Thisphenomenon seems to be inconsistant with the Stopler- Samuelson Theorem.Studies in this respect show that imported high –tech capital andintermediate goods are skill-based, thus increasing the relative demand for skilled labour.
In such circumstances, identifying the impact of such goods upon the demand for skilled labour in Iran is of great importance.
In this paper, by using Translog cost function and the Method of Seemingly Unrelated Regression, short and long run demand function for the period of 1977- 2014 in Iran has been estimated. Althoug the short and long –run results arecompatible with the theortical expections, the investment on domestic research and development regarding the employment of skilled labour has been effective only in the long-run and not the short –run.
Mohammad Ali Sobhamallahi, Amin Kohgard,
Volume 7, Issue 24 (6-2016)
Abstract
One of the opportunities that enable better utilization of funds to finance the country's policy makers, CEOs and financial institutions gives profit, use of barter transactions rather than cash transactions and money payment. Although It deals with history as long as the formation of the first human set (before the invention of money and Intermediate goods), but the use of these methods to solve the problems of working capital has recently profit institutions literature and commercial transactions and has brought many benefits to users. In this article we have tried to introduce different methods of barter exchanges, clearing the way its numerous advantages explained and network productivity for economic development without growth, liquidity is provided. As a result, users could utalize the barter exchanges to development products or services and growth in competitive business environment, without affecting the growth of liquidity that causes fluctuation.
Dr Alireza Garshasbi, Mr Mojtaba Yusefi,
Volume 7, Issue 25 (10-2016)
Abstract
Legal and economic dimensions of sanctions, and also its diversity make it difficult to evaluate the contribution of the sanctions on macroeconomic variables; besides quantification of sanction by itself is a major problem. As the first step in this study, we try to offer a new index for representing the sanction in economic modeling. For this purpose by applying the exploratory factor analysis approach, we try to measure the mentioned index and produce the time series for the period of 1978-2010; here twelve variables which are mainly affected by the sanctions included in related process. Then, applying three-stage least squares (3SLS) method for a small macroeconomic model, the contribution of the sanctions on major economic variables such as economic growth, trade, investment and employment are evaluated. According to the findings of this study, the direct effects of sanctions are only significant in growth and term of trade equations. It seems also that there is a direct relationship between severity of the sanctions and its impact on major economic variables.
Dr Mohammad Mahdi Barghi Oskooee, Ahad Mohammadi Bilankohi,
Volume 7, Issue 25 (10-2016)
Abstract
Energy as one of the most important factors of production, as well as one of the most important marginal products, has effential role in trade and economic development.The importance of energy has increased after the two oil crises in 1970’s. The relationship between energy and trade is an important topic to study for several reasons. If energy consumption is found to Granger cause exports or imports, then any reductions in energy consumption, coming from say energy conservation polices, will reduce exports or imports and lessen the benefits of trade. Energy conservation policies which reduce energy consumption will offset trade liberalization policies designed to promote economic growth. This places energy conservation policies at odds with trade liberalization policies.In this regard, the impact of trade on energy consumption through energy applications in the production process of import and export goods and their transportation is included. This study uses panel data to investigat effect of trade on energy consumption in D8 countries (Bangladesh, Egypt, Indonesia, Iran, Malaysia, Nigeria, Pakistan and Turkey) during the years 1990 to 2014. The results indicat that foreign trade has a significant and positive impact on energy consumption. The findings show a significant and negative impact of energy prices on energy use.
Mehdi Yazdani, Hamed Pirpour,
Volume 8, Issue 30 (12-2017)
Abstract
Due to the more dependence among countries and the raised demand for energy, the energy trade have increased during recent decades, while its major share is intra-industry trade (IIT). In this regard, countries are trying to exploit the diversity of a particular product, as well as the technology transfer and knowledge of technology which generated by IIT in this sector. According to the importance of role of IIT in the economies, this study will identify the determinants of IIT in the energy sector among Iran and its major trading partners using gravity model and Poisson pseudo-maximum-likelihood (PPML) method during 1997-2016. Based on the results, the effects of gross domestic product (GDP) per capita of Iran and the selected countries, the products’ diversification in the energy sector of Iran and its partners, access to the open sea for Iran's trading partners, and foreign direct investment (FDI) in the energy sector in Iran are significant and positive on IIT. However, the geographical distance, transportation costs, and trade imbalances among Iran and the selected countries have had the significant and negative effects on IIT
Manizheh Bratzadeh, Javad Harati, Mohammad Lashkari,
Volume 9, Issue 33 (10-2018)
Abstract
Money laundering is an illegal practice that legitimizes the income from illegal activities during a legitimate process.Trade-based money laundering (TBML) as one of the newest and most complicated types of money laundering has negative effects on economic, social and political aspect of a society.The most important objective of the present study is to investigate the effect of various factors on trade based money laundering in Iran using the Ferwerda Gravity model.For this purpose the effective factors on trade base money laundering between iran and some selected trade partners are investigated by the use of a random effect model during the period 1999-2012. The results indicate that a great significant part of the trade based money laundering flow between Iran and selected trade partners can be explained by the the Ferwerda Gravity model. Accordingly, gorss doimestic product(GDP), trade volume, geographical, cultural, population and attractiveness variables have a significant effect on the amount of trade based money laundering in Iran.This means that with the increase in trade flow, money laundering opportunities resulted from the trade channel, that is hidden in it, will also increase. These results can be used by policy makers for designing policies to combat money laundering particularly coming from trade channel.
Hengame Hendizadeh, Alireza Karbasi, Toktam Mohtashami, Hossein Mohamadzadeh,
Volume 9, Issue 33 (10-2018)
Abstract
One of the factors that have a significant impact on the economic development of countries is reliance on foreign trade, and due to the dependence of countries on export earnings and the import of foreign trade, it plays an essential and indisputable role in the growth and development of different sectors. Foreign trade in agricultural products has an important role in expanding the export and import of various countries due to its high and stable value. Among the agricultural products, saffron is one of the most important export commodities of agriculture, which contributes greatly to the creation of agricultural value added. This study examines and analyzes Saffron's foreign trade network among 11 active countries including Iran in this area. The required data and statistics were collected during the years 2007-2016. Considering the geographical dispersion of the studied countries, a spatial panel model was used to analyze the factors affecting the value of saffron trade. The results of estimating OLS methods, spatial interruption and spatial error showed that import price variables per gram, export price per gram, export volume, export standards index, gross domestic product, exchange rate and government support index in agricultural sector is significant and has a positive effect on the value of trade. Positive and significant spatial dependency coefficient shows that neighborhood is an important role in increasing or decreasing trade. This means that, as long as the value of saffron trade in neighboring countries increases, the value of trade in the target country will increase as the size of the coefficient.
Monireh Rafat,
Volume 9, Issue 34 (12-2018)
Abstract
The existing trade models suggest that for tradable goods potential partners can be many, but eventually only one (the one offering the best price) should be selected, therefore relatively few (unidirectional) trade links will appear between countries. If the structure of international trade flows describes as a network, trade link would give rise between countries. This paper exploit recently-developed indicators based on network analysis such as node-degree, node-strength and node-disparity, and second-degree characteristics such as node-clustering and centrality indicators to investigate the pattern of international trade pattern followed by Iran and its Asian partner. The results of this study show that East Asian countries, have had a greater increase in the number of trade partners. Iran and its trading partners in Asia, is growing trade links with countries that have more trading partners. Nearest neighbor degree index show that selected countries are looking to improve relations with countries that have more similarities with his own country. Based on the centrality, it was found that only China with the centrality index of .97 is in the core of global trade network. Emirates, Taiwan, Korea and Thailand respectively with values of .94, .92, .94 and .91 are in the inner-periphery and Turkey with a value of 0.87 is in secondary-periphery. Iran with a value of 0.72 is in outside of the global trade network
Mohammad Tohidi,
Volume 11, Issue 42 (12-2020)
Abstract
Noise traders make decisions based on market sentiment and buy and sell assets based on unrelated information. These traders generally have poor timing, follow trends, and overreact to good or bad news. The experience of financial markets shows that noise traders cause excess volatility and deviation of the stock value from its intrinsic value. This study seeks to evaluate the role of noise traders on the occurrence of bubbles in the Tehran Stock Exchange in the period 2011 to 2017 .Therefore, the research hypothesis is: "The effect of noise trading on the occurrence of bubbles in the Tehran Stock Exchange is positive and significant." In this study, PCA method is used to extract a composite sentiment index, The GSADF method also is employed to determine the bubble periods of the Tehran Stock Exchange price index. Finally, the logit method is applied to measure the effect of noise trading on the bubble in the stock market price index. The results show that the effect of noise trading on the occurrence of bubbles is positive and significant. Also, the estimation of the final marginal effect indicates that the increase of one unit of optimistic sentiment and optimistic sentiment with a lag in the stock market increases the probability of bubbles by 24 and 28%, respectively.
Marzieh Rassaf, Dr Parviz Rostamzadeh, Dr Karim Eslamlueian, Dr Ebrahim Hadian,
Volume 12, Issue 43 (3-2021)
Abstract
After the victory of the Islamic Revolution and the capture of the spy nest, the West, and especially the United States, in addition to pursuing other tools, has also used the tools of sanctions and has implemented many sanctions against Iran. One type of sanctions is oil sanctions, which were imposed to force Iran to join the international community. The US and its allies' embargo on Iranian oil affects the variables of the Iranian and world economies. For this reason, a computable five-zone global trade model (GTAP) is used to calculate the implications of the game tree between the three independent actors of the United States, the European Union, and Iran. The closing of the GTAP model has been changed according to the assumptions used. The results show that the US, Iran and major oil buyers from Iran are damaged by the sanctions. This damage is exacerbated by increasing oil restrictions. With the escalation of sanctions, the European Union is also gaining negative welfare. In the Nash equilibrium, the United States and the European Union will choose weak sanctions, and Iran will try to circumvent the sanctions. Due to the economic costs of oil sanctions against Iran, the lack of full understanding between the United States and Europe, and Iran's efforts to circumvent sanctions, it seems that the United States will not be able to reduce Iran's oil exports to zero.
