Saeed Moshiri; Mahdi Rezvan
Volume 8, Issue 26 , April 2006, Pages 1-24
Abstract
Operating in international market, the Iranian airline industry is one of the first organizations which have used IT in Iran, and therefore, a good case for analyzing the impact of IT on productivity at the firm level. In this study, we first estimate the productivity of the airline industry using ...
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Operating in international market, the Iranian airline industry is one of the first organizations which have used IT in Iran, and therefore, a good case for analyzing the impact of IT on productivity at the firm level. In this study, we first estimate the productivity of the airline industry using the Iranian National Airline data from 1962 to 2000 by the Data Envelop Analysis (DEA) and the Stochastic Frontier Analysis (SFA) methods. We then evaluate the impacts of IT on the Iranian major Airline corporation.Many different cases have been considered in estimating the productivity. In the DEA method, both constant and variable returns to scale have been applied. In the SFA method, different measures for output have been used from which the passenger- kilometer variable produced the most reasonable outcome. The results indicate that the productivity in the Iranian airline industry has been fluctuating within a fixed range before and after the period 1976-83 in which the productivity decreased dramatically, mostly due to the revolution and the Iraqi imposed war on Iran. Furthermore, IT has had a positive effect on the productivity since 1990.
Mohsen Mehrara; Ghahreman Abdoli
Volume 8, Issue 26 , April 2006, Pages 25-40
Abstract
This paper uses daily data from the Tehran Stock Market (TSM) to illustrate the nature of stock market volatility in an undeveloped stock market. Although most studies suggest that a negative shock to stock prices will generate more volatility than a positive shock of equal magnitude there is no evidence ...
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This paper uses daily data from the Tehran Stock Market (TSM) to illustrate the nature of stock market volatility in an undeveloped stock market. Although most studies suggest that a negative shock to stock prices will generate more volatility than a positive shock of equal magnitude there is no evidence of symmetric effect in TSM. The EGARCH model passes all the tests and appears to be the most adequate characterization of the underlying data generating process.
Mostafa Karimzadeh
Volume 8, Issue 26 , April 2006, Pages 41-54
Abstract
Financial market is one of the most important markets in each economy. Stock exchange has a considerable role in transformation of saving to investment. In major industrial countries, Up and down of the stock exchange not only influence their national economy but also can affect world economy. Theoretically ...
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Financial market is one of the most important markets in each economy. Stock exchange has a considerable role in transformation of saving to investment. In major industrial countries, Up and down of the stock exchange not only influence their national economy but also can affect world economy. Theoretically and practically it is known that there is a firm relation between monetary policy and the behavior of the stock exchange market. Hence, there should be a relation between monetary variables and stock price index. Study of these relationships in Iran’s economy is purpose of this article. Theoritical basis of the model rely upon portfolio and Fisher theories. Monetary variables such as M2, interest rate and foreign exchange rate can explain the fluctuations of stock price index. Long run relation for these variables is focus of our study. We tried to find a cointegration vector between these variables using ARDL approach. Results show that there is a firm and positive long run relation between TEPIX (Stock Price Index) and M2,and there is a negative relation between TEPIX and foreign exchange rate and there is a negative but weak relation between TEPIX and interest rate.
Vali Gerivani
Volume 8, Issue 26 , April 2006, Pages 55-79
Abstract
In recent years, the subject of globalization has been accomplished and it has been intensified by the discussion of the joining Iran to World Trade Organization (WTO). But the topic that has been discussed a little is the evaluation methods for globalization effects on the industries. So this paper ...
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In recent years, the subject of globalization has been accomplished and it has been intensified by the discussion of the joining Iran to World Trade Organization (WTO). But the topic that has been discussed a little is the evaluation methods for globalization effects on the industries. So this paper is going to provide a frame with presentation and explanation of a theoretical method titled by Policy Analysis Matrix (PAM). That allows the indicators in relation to the globalization discussion to be studied and simultaneously calculated as possible. In this method, the producer's incomes expenses are placed in a 3*4 matrix frame and with this way we can go through the government policy analysis and it is effects on the producer's products. After expanding this matrix, different indicators that come on the topics in one service in relation to globalization effects are derived and classified in three groups: protection coefficient, cost competitiveness and comparative advantage. Following that, the Policy analysis Matrix was created for Mobarake Steel Company and different indicators of evaluation of Iran joining effects to World Trade Organization (WTO) will be calculated on this Company. At the end, these indicators will be analyses integrand to basic institution and this company's products and their sensitivity.
Karim Azarbaijani; Golara Ezadi
Volume 8, Issue 26 , April 2006, Pages 81-99
Abstract
The Purpose of this study is reviewing the Intra Industry Trade between Iran and China by using Trade Type Approach. To avoid the geographic and sectoral bias, we consider the bilateral Trade and we concentrate on quality and commodity differentiation. Our findings show that the share of Intra Industry ...
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The Purpose of this study is reviewing the Intra Industry Trade between Iran and China by using Trade Type Approach. To avoid the geographic and sectoral bias, we consider the bilateral Trade and we concentrate on quality and commodity differentiation. Our findings show that the share of Intra Industry Trade between Iran and China is very low. In fact, a large part of our trade belongs to vertical (and horizental) Intra Industry Trade. This means that we have a low competetive power in final products, whereas we have a high competetive power in raw materials, and low quality products. Our investigations indicate that Iran’s situation can be improved by ameliorating the quality of exproted products. This study shows that a high unemployment rates belongs to sectors in which the Intra Industry Trade is weak. Thus, one of our main finding requires changes in free trade strategy, so that by increasing the quality of Iranian products, Iran could have a significant share in Intra Industry Trade with China and a progress in industrial employment.
Yahya Fathi
Volume 8, Issue 26 , April 2006, Pages 101-123
Abstract
This paper studies the feasibility and effectiveness of Regional Trade Arrangements (RTA’s) among the member states of Organization of Islamic Conference (OIC), based on comparative advantage principle. After a brief review on the theories of Regional Integration, the basic factors of effectiveness ...
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This paper studies the feasibility and effectiveness of Regional Trade Arrangements (RTA’s) among the member states of Organization of Islamic Conference (OIC), based on comparative advantage principle. After a brief review on the theories of Regional Integration, the basic factors of effectiveness for RTA’s were reviewed. Then based on various determinants of Revealed Comparative Advantage (RCA) the feasibility and effectiveness of RTA’s among the OIC member states are analysed.The results show that a great share of the intra group exports of OIC member countries is based on comparative advantage, so the Regional Trade Arrangements among these countries are feasible and effective.
Mohsen Renani; Morteza Sameti; Hasan Farazmand
Volume 8, Issue 26 , April 2006, Pages 125-151
Hoshang Shajari; Komail Tayebi; Seyed Abdolmajid Jalaee
Volume 8, Issue 26 , April 2006, Pages 153-179
Abstract
In the literature of international economics, determination of exchange rate pass- through has been closefy related to main determinants, and to its impacts on other economic variables. In principle, exchange rate pass-through is defined as a change in exchange rate as a result of a change in prices ...
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In the literature of international economics, determination of exchange rate pass- through has been closefy related to main determinants, and to its impacts on other economic variables. In principle, exchange rate pass-through is defined as a change in exchange rate as a result of a change in prices of imported goods. The pass-through is generally measured based on the responsiveness of the import price index to changes in real exchange rate. In accordance with fluctuations in foreign exchange and the exchange rate, this paper attempts to explore the importance of exchange rate pass-through in the Iranian economy. origenaly, a theoretical discussion of the exchange rate pass-through is reviewed, and then, by using Neuro-Fuzzy Systems its situation in Iran is analyzed. In addition, empirical models of import prices and exchange rate are specified for the Iranian economy to examine the impacts of monetary and foreign exchange policies, as well as the degree of economic opennness on exhang rate pass-through in Iran. The models are also estimated and evaluated by the Neuro-Fuzzy Systems. In general, the results obtained indicate that the conduction of all mentioned policies has significant and positive effects on the pass-through status. In addition, the method used is a more efficient and reliable instrument in forecasting the trends of the exchange rate and the price variables
Seyed komail Tayebi; Ahmad Googerdchian
Volume 8, Issue 26 , April 2006, Pages 181-203
Abstract
The petrochemical industry plays an important role in the world economy and has many forward and backward linkages with other sectors. So capacity expansion through attracting FDI in this industry can help economy of the host countries to reach; GDP growth, employment creation, technology transfer and ...
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The petrochemical industry plays an important role in the world economy and has many forward and backward linkages with other sectors. So capacity expansion through attracting FDI in this industry can help economy of the host countries to reach; GDP growth, employment creation, technology transfer and its spillover effects. The main purpose of this study is to present and estimate a FDI model which includes the major determinants of attracting FDI to the Iran's Petrochemical Industry. The model coefficients are estimated by the Panel Data, using observations of FDI and the relevant variables on a set of the Iranian individual petrochemical complexes, over the period 1993-2002. The estimation results indicate that: profitability of the host industry, the economic size (production capacity), the degree of openness of the industry and the level of R&D expenses affect significantly the inflow FDI to the Iran's Petrochemical Industry. In other words, improvement in the quantity and quality of such significant factors leads to the inflow of FDI to petrochemical industry of Iran and eventually expanding potential of this industry as well as other sectors dependent on petrochemical industry.