mansour Zarra Nezhad; Ebrahim Anvaari
Volume 8, Issue 28 , October 2006, , Pages 139-168
Abstract
The most important issue concerning housing supply is that how people rank different attributes of a House. This evaluation can be measured by estimating housing price function. In order to examine the consumer’s evaluation, a hedonic price model has been applied using the panel data model including ...
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The most important issue concerning housing supply is that how people rank different attributes of a House. This evaluation can be measured by estimating housing price function. In order to examine the consumer’s evaluation, a hedonic price model has been applied using the panel data model including the cross section observations on five municipality regions of the city of Ahvaz over years 1997-2003. The goal of this research is to determine the leading physical and environmental factor affecting the housing price in Ahvaz. To this end two panel data unit root tests and two cointegration tests for panel data as well as GLS estimation method have been conducted. The estimation has been carried out separately for three kinds of houses: Apartment, villa and others types.The empirical results reveal that the physical factors are the most important determinants of the demand for housing attributes and have the most effect on housing price as a whole. The environmental attributes take second place. The same is true for apartment, but it is just the reveres for villa. Being close to a street with a width of 4-10 meters is among the most important attributes affecting housing price in these two kinds of houses.
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.
Esfandiar Jahangard
Volume 7, Issue 25 , February 2006, , Pages 83-107
Abstract
Technology has long been considered very important to contribute to economic growth through productivity improvement. The empirical studies indicate that the contribution of information technology(IT) to growth in developed and some developing countries over the second half of the 1990s has been ...
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Technology has long been considered very important to contribute to economic growth through productivity improvement. The empirical studies indicate that the contribution of information technology(IT) to growth in developed and some developing countries over the second half of the 1990s has been significant. There is still room for more investigation, specially in developing countries where the socio-economic infrastructure may not fully support the IT and economic growth relationship. This study uses an explicit production function to estimate the elasticity of IT factors in the Iranian manufacturing industry using the panel data method covering the period 2000-2001.
Reveal that IT has had a positive and significant effect on the production in the Iranian manufacturing industry. Our results suggest that an increase in IT expenditure beside improving complementary factors will eventually lead to higher labour productivity and growth in manufacturing industry.
Reza Mohseni
Volume 7, Issue 25 , February 2006, , Pages 127-152
Abstract
This paper analyses the impact of reduction of tariff and non-tariff barriers on the imports of selected developing countries, utilizing dynamic panel data technique. The results indicate that Income and price elasticities are strongly statistically significant and reduction of import duties and ...
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This paper analyses the impact of reduction of tariff and non-tariff barriers on the imports of selected developing countries, utilizing dynamic panel data technique. The results indicate that Income and price elasticities are strongly statistically significant and reduction of import duties and increase of trade liberalization degree have a positive and significant effect on import growth. This effect increases import growth between 100 to 300 percent in all countries. Also, we test if the income elasticity of import demand changes with trade liberalization, and also if the price elasticity changes as the ability to substitute domestic production for imports becomes easier. The assumption is that trade liberalization has a significant impact not only on the growth of imports, but also on their sensitivity to income and price variations.
Parviz Davoodi; Akbar Shahmoradi
Volume 6, Issue 20 , October 2004, , Pages 81-113
Abstract
In this paper, we analyze the determinants of the FDI using a panel data consisting of 46 developed and developing countries, including Iran. The period of study is 1990-2002. The estimated reduced form model is derived from a simultaneous macroeconomic model. The Housman test statistic carried out to ...
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In this paper, we analyze the determinants of the FDI using a panel data consisting of 46 developed and developing countries, including Iran. The period of study is 1990-2002. The estimated reduced form model is derived from a simultaneous macroeconomic model. The Housman test statistic carried out to verify using fixed effect rather than random. Also, the tests of Hadri (2000) for the null of stationarity against the alternative of unit root in panel data are carried out to show the reliability of the results, among other factors. The results imply that focusing on the necessary laws and regulations, motivating local private investment, increasing R&D, enhancing infrastructure investment’s efficiency and productivity, more skilled and productive labor force, and finally increasing the political stability of the country could be most important factors to attract FDI.
