Showing 11 results for تجارت
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.
Dr Saeed Rasekhi, Dr Zahra Mila Elmi, Mr Milad Shahrazi,
Volume 8, Issue 27 (3-2017)
Abstract
The bubble of Asset Price is the deviation of the asset price from its fundamental value. Since the many of the financial crisis arise from bursting bubble of financial assets, the explore of bubble behaviors in these markets and the early detection for the prevention of adverse economic consequences is important. Considering the criticisms of conventional tests for detecting price bubbles and also the importance of the subject, in this study, we have considered the new methods proposed by Phillips, et al. (2011, 2012) based on Right-Tailed Augmented Dickey-Fuller (RTADF) tests. In this regard, in order to testing explosive behavior and multiple bubbles and determining bubble periods in Iranian informal exchange market, we have applied the tests of SADF and GSADF according to monthly data for the nominal exchange rate from 2002:04 to 2016:03. Since the explosive behavior in nominal exchange rate might be driven by the its fundamentals, to comment on the existence of rational bubbles in the exchange market, we have evaluated the ratio of the nominal exchange rate to the relative prices of tradable and non-tradable goods. Based on the obtained results, the Iranian foreign exchange market has been experienced explosive behavior and multiple bubbles in the period of under study. Moreover, the relative prices of traded goods explain some explosiveness in the Iranian exchange market. Our findings suggest that the explosive behavior in nominal exchange rate from 2008:10-2008:12, 2012:01-2012:03 and 2013:09-2013:11 was because of rational bubbles in exchange rate and in other periods was driven by the relative price of tradable goods. Therefore, it is suggested to control the sharp exchange rate movements, in addition to bubbles, fluctuations in prices of traded goods market require more attention. Also, due to the possibility of bubbles repetition, the GSADF test is the better test to detect bubbles.
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
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.
