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

Mendeley

Zotero

RefWorks

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: (6009 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] (1804 Downloads)

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

References

1. ♣ Beaudry, Paul, Green, David A., and Sand, Ben.(2014). Spatial equilibrium with unemployment and wage bargaining: Theory and estimation. Journal of Urban Economics, 79(C):2-19, 2014.

2.  Combes, Pierre-Philippe, Mayer, Thierry, and Thisse, Jacques-Francois. (2008). Economic Geography: The integration of Regions and Nations. Princeton University Press, New Jersey, 2008.

3.  Dadashpour, H., Fathjalali, A. (2013). Analysis on regional especializing patterns and spatial concentration of industries in Iran. Journal of Regional Planning, 3 (11) pp. 1-18, (in Farsi).

4. ♣ Drucker, Joshua and Feser, Edward.(2012). Regional industrial structure and agglomeration economies: An analysis of productivity in three manufacturing industries. Regional Science and Urban Economics, 42(12):1-14, 2012.

5.  Duranton, Gilles. (2015). Agglomeration effects in Colombia. Mimeograph, Wharton University, 2015.

6. ♣ Ellison, Glenn and Glaeser, Edward L.(1997). Geographic concentration in US manufacturing industries: A dartboard approach. Journal of Political Economy, 105(5):889-927, 1997. [DOI:10.1086/262098]

7. ♣ Ellison, Glenn, Glaeser, Edward L., and Kerr, William R. (2010). What causes industry agglomeration? Evidence from coagglomeration patterns. American Economic Review, 100(3):1195-1213, 2010. [DOI:10.1257/aer.100.3.1195]

8.  Elhorst J. Paul. (2014). Spatial econometrics; From cross- sectional data to spatial panels. Springer briefs in regional sciences. 2014. [DOI:10.1007/978-3-642-40340-8]

9.  Fujita, Masahisa, Krugman, Paul R., and Venables, Anthony J. (1999). The Spatial Economy: Cities, Regions, and International Trade. mit Press, Cambridge, 1999

10.  Fujita, M., and J.-F. Thisse. (2002) .Economics of Agglomeration: Cities, Industrial Location and Regional Growth. Cambridge University Press. 2002. [DOI:10.1017/CBO9780511805660]

11.  Fujita, M., and J.-F. Thisse. (2009). New economic geography: An appraisal on the occasion of Paul Krugman's 2008 Noble prize in economic sciences. Regional Science and Urban Economics 39 (2009) 109–119. 2009

12.  Garretsen, J.H. (2005). From Koopmans to Krugman: International economics and geography. Multidisciplinary Economics, Springer. 425–436. 2005 [DOI:10.1007/0-387-26259-8_33]

13.  Helpman, E. (1998). The size of regions. InTopics in Public Economics: Theoretical and Applied Analysis (ed. D. Pines, E. Sadka, and Y. Zilcha), pp. 33–54. Cambridge University Press. 1998

14.  Kanbur, R and Venables, A.J. (2005). Spatial Inequality and Development . United Nations University World Institute for Development Economics Research (UNU-WIDER). By Oxford UniversityPress Inc. 2005 https://doi.org/10.1093/0199278636.003.0001 [DOI:10.1093/0199278636.001.0001]

15.  Krugman, P. R. (1991). Increasing returns and economic geography. Journal of Political Economy (99): 483– 99. 1991 [DOI:10.1086/261763]

16. ♣ Lasage, J, Pace, K. (2013). Introduction to spatial econometrics. Translated in Farsi by: Jalaie, E, A., Jamshidnezhad, A. 2013, Noure Elm Press. First Edition. [PMCID]

17. ♣ Lasage, J, Pace, K. (2013). Spatial econometric theory and techniques in MATLAB. Translated in Farsi by: Jalaie, E, A., Jamshidnezhad, A., & Taleghani, F. 2013, Noure Elm Press. First Edition. [PMCID]

18. ♣ McCann, Ph. (2013). Modern urban and regional Economics. Translated in Farsi by: Reisi, D, Noure Elm Press, First Edition, 2015.

19.  Mehregan, N., Teymourei, Y. (2012). Calculation of the geographic concentration of industries in provinces of Iran. Journal of Research and Economic Policies, 20 (61), pp. 175- 192. (in Farsi)

20.  Mehregan, N., Teymourei, Y. (2012). Evaluating provincial geographic concentration of industry and effective factors on it in Iran. Journal of Geography and Regional urban planning, 5, pp. 105- 120. (in Farsi)

21.  Mehregan, N., Teymourei, Y. (2013). Industrial location with spatial economics approach. Bu-Ali Sina University Press, First Edition, 2013. (in Farsi)

22.  Mehregan, M. (2008). quantitative models for evaluating the performance of organizations- DEA. Published by: Management Department of University of Tehran. Second Edition, 2008. (in Farsi)

23.  Rasekhi, S., Dindar Rostami, M. (2012). Wage gap among provinces of Iran; Application of the new economic geography. Journal of Research and Economic Policies, 20 (64): pp. 47- 64. (in Farsi)

24.  Redding, S. J. (2010). The empirics of new economic geography. Journal of Regional Science, 50(1), 297–311. 2010. [DOI:10.1111/j.1467-9787.2009.00646.x]

25.  Samadi, A., Dehghani Shabani, Z., & Moradi Kouchi, A. (2014). Spatial analysis of the impact of inequality of income distribution on economic growth in Iran. Research Journal of Economic Growth and Development, 5 (19): pp. 58- 72. (in Farsi).

26.  Sanchis, G. R. (2012). Essays on urban and spatial economics. A thesis submitted to the Department of Geography of the London School of Economics for the degree of Doctor of Philosophy. London. March 2012.