علوم انسانی دریا
Fatimah Hosseinpour; Amin Tabae Izady
Abstract
The present study, by reviewing some of the views regarding the reduction of the role of ports in economic growth and development over time, has tried to evaluate the effect of ports on economic growth in a group of 122 countries between 2004 and 2021. To achieve the goal in this research, the causality ...
Read More
The present study, by reviewing some of the views regarding the reduction of the role of ports in economic growth and development over time, has tried to evaluate the effect of ports on economic growth in a group of 122 countries between 2004 and 2021. To achieve the goal in this research, the causality analysis of Dumitrescu and Hurlin was used in Unbalanced panel data and unit specific lag order, as well as a set of panel regression estimates. In this research, the liner shipping connectivity index has been used as the port performance index. The results of the causality analysis show that the bidirectional causal relationship between port performance and economic growth cannot be rejected. Also, the results of various regressions estimates of economic growth show that the performance of ports has a remarkable and significant effect on the economic growth of countries. . . . . . .
علوم انسانی دریا
Zahra Neisi; Seyyed Nasser Saeidi; Fatemeh Hosseinpour; Mohammad Amin Kouhbor
Abstract
Energy is the driving force behind all human activities. The scope of these activities is from day to day activities to macroeconomic activities in each country. Today, the world is moving towards lowering energy consumption and increasing the efficiency of using existing energy, and the issue of energy ...
Read More
Energy is the driving force behind all human activities. The scope of these activities is from day to day activities to macroeconomic activities in each country. Today, the world is moving towards lowering energy consumption and increasing the efficiency of using existing energy, and the issue of energy substitution in different contexts in scientific communities is under consideration. Energy is a major factor in the development of every country that needs more effort to achieve sustainable development. The transportation sector plays a key role in achieving development. Therefore, it is important to study the effective factors in this sector as the second largest energy consumer in Iran and in the world. In this study, a transport function model for the transportation industry in Iran is established and the factors of production include capital, energy and labor. The production stretch and substitution of each of the factors of production have been calculated and analyzed, respectively. The results show that during the period of 1362 to 1391, there is a relatively good substitution between energy and capital in the transportation sector in Iran. This means that, through greater allocation of capital in the transportation industry, energy-saving technology can be continuously upgraded and a succession of capital and energy can be realized. Also, the effect of substitution of capital and energy on the reduction of pollutants from fuel consumption in the transportation sector was investigated.
علوم انسانی دریا
Fatimah Hosseinpour; Amin Tabaeh Izady; Jafar Ghasemi Varnamkhasti
Abstract
This study aims to investigate the effect of port performance on employment in the provinces of Iran. To do this, statistical data for period 2005 to 2013 in 30 provinces (seven coastal provinces and 23 inland provinces) is used. In this study, two different methods have been used to achieve the goal. ...
Read More
This study aims to investigate the effect of port performance on employment in the provinces of Iran. To do this, statistical data for period 2005 to 2013 in 30 provinces (seven coastal provinces and 23 inland provinces) is used. In this study, two different methods have been used to achieve the goal. First, by mean equality statistical test it is shown that the unemployment rate in coastal provinces is slightly lower than unemployment rates in the inland provinces. In the second method, we use a panel data regression analysis and also use two estimation methods consist of least squares methods (fixed effects model) and generalized method of moments (GMM). Results of regression analysis show that non-oil performance of ports had significant and positive effect on employment in coastal provinces, but this effect is low and negligible. Other results show that interest rate, wage, prices level and output had positive effects on coastal provinces’ employment but oil performance of ports had not any significant effect on employment.