Estimating Spatial Concentration of Industry and Effective Factors on It Between Provinces of Iran

Mehregan, Nader; Fotros, Mohammad Hassan; Gholizadeh, Ali Akbar; Teymourei, Younes

doi:10.18869/acadpub.jemr.6.24.7

Volume 7, Issue 24 (6-2016) jemr 2016, 7(24): 7-40 | Back to browse issues page

‎ 10.18869/acadpub.jemr.6.24.7

‎ 20.1001.1.22286454.1395.6.24.6.5

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Mehregan N, Fotros M H, Gholizadeh A A, Teymourei Y. Estimating Spatial Concentration of Industry and Effective Factors on It Between Provinces of Iran. jemr 2016; 7 (24) :7-40
URL: http://jemr.khu.ac.ir/article-1-1401-en.html

Estimating Spatial Concentration of Industry and Effective Factors on It Between Provinces of Iran

Nader Mehregan¹

, Mohammad Hassan Fotros¹

, Ali Akbar Gholizadeh¹

, Younes Teymourei ^*

1- Bu- Ali Sina University
2- Bu- Ali Sina University , yteimori@gmail.com

Abstract: (7420 Views)

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.

Keywords: Spatial concentration, Spatial Dependance, Krugman Model, EG Index, Spatial Panel Data Model

Full-Text [PDF 2625 kb] (2134 Downloads)

Type of Study: Applicable | Subject: شهری و منطقه ای
Received: 2016/04/20 | Accepted: 2016/07/17 | Published: 2016/09/19

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