Nader Mehregan, Mohammad Hassan Fotros, Ali Akbar Gholizadeh, Younes Teymourei,
Volume 7, Issue 24 (6-2016)
Abstract
This paper considers spatial distribution of industrial activities and effective factors on such a distribution. Ellison and Glaeser’s spatial concentration index, has been used for measureing spatial distribution of industry. This index has been calculated by Ad-value variable for 30 provinces of Iran and for period of 2006-2013. So, The spatial panel data model has been used in order to stimate impact of effective factors on spatial concentration. Results of this paper, show that distribution of industrial activities between provinces is strongly unequal. Azarbaijan Sharghi, Markazi, Ghazvin and Tehran provinces by 0.03, 0.04, 0.05 and 0.06 for EG index, are the most industrial provinces respectively. Boushehr, Hormozgan and Ilam provinces with 0.68, 0.28 and 0.26 for EG index are the worst industrial provinces. Also, Results from estimating model show that spatial dependance of provinces is equal to 0.31. Increasing return to scale and transportation costs, each one by 0.07 and 0.001 for coefficient in model, are effective on spatial distribution of industry.
Mahmoud Eidan Torkzadeh, Majid Afshari Rad, Marjan Daman Keshideh, Hooshang Momeni Vasiliani,
Volume 14, Issue 53 (11-2024)
Abstract
Investigating the spillover effect of logistics performance index on exports in free zones is considered one of the important cases for special attention in these areas, which in recent years has received less attention. Therefore, in this study, by using different methods of spatial panel data, to investigate the spillover effect of the logistics performance index among the seven existing free zones and based on six the performance indices of the logistics industry has been studied during the years 2014 to 2023. This study has investigated the performance of logistics on exports (which is a composite index and areas) in Iran’s free zones by using different spatial regression models. The present study was conducted with the panel data and it shows that findings of this study indicate that the effect of logistics performance index in the SDM model has been confirmed and logistics performance has a positive and significant effect on the export of free zones, so that the growth of logistics indicators in the country leads to growth and speed of exports in free zones. Moreover, investment, labor and the degree of openness of the economy have a positive and significant effect on the export value of free trade zones. Therefore, it is suggested that economic policy makers improve production and export capacity in these areas by improving the logistics, investment and employment performance index.