Persian
Language
Geographical Research is Published in Persian Fulltext.
Volume 34, Issue 1 (2019)
GeoRes 2019, 34(1): 97-108 |
Back to browse issues page
Article Type:
Subject:
History
Received: 2017/08/11 | Accepted: 2019/02/24 | Published: 2019/03/17
Received: 2017/08/11 | Accepted: 2019/02/24 | Published: 2019/03/17
How to cite this article
Noori S, Mohammadi A. The Analysis of Spatial Distribution Pattern of Ardabil Province Industries by Using Spatial Statistics in GIS Environment. GeoRes 2019; 34 (1) :97-108
URL: http://georesearch.ir/article-1-197-en.html
URL: http://georesearch.ir/article-1-197-en.html
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rights and permissions
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Authors
Sepideh Noori1, Alireza Mohammadi *1
1- Department of Geography, Faculty of Humanities, University of Mohaghegh Ardabili, city, Iran
Abstract (4458 Views)
Background and Amis: Unbalanced spatial distribution of industries in most regions of the developing countries, can be have undesirable economic, environmental and social effects. Understanding the spatial distribution patterns of industries is essential for their planning and distribution in the regions.The aim of present study is to analyze the distribution and spatial patterns of Ardabil province industries. Another purpose of this study is to identify the main hubs of industries and the relationship between the spatial distribution of industries with economic, social and environmental variables. Recognition of spatial patterns and spatial behavior of industries is essential for proper spatial planning of the regions. This knowledge helps decision makers and planners to take proper measures.
Methodology: This research methods are descriptive and analytic. The statistical population of this research includes 1700 active industrial spaces in Ardebil province. The data of these industrial spaces were obtained from the organization of industry, mining and trade of Ardebil province and recorded in the geographic information system (GIS). In this research, spatial statistical methods such as standard distance, Moran’s spatial correlation index, General G* ord statistical model and geographic weighted regression (GWR) model are used.
Findings:The research findings show that: a) the spatial distribution pattern of industries in Ardebil province is highly unbalanced and cluster; b) the geographical distribution of the northern part of the industry; c) the center of gravity of the focus of the industrial spaces towards the central parts of the province , C) Ardebil city is the dominant center of attraction of industrial activities; d) There is a significant relationship between population variables, migration rate, urbanization rate, employment rate in industrial sector, topography and hydrology, with the distribution pattern of industries.
Conclusion: As a result, the distribution of industries in the province of Ardebil is clustered and unbalanced. At the end, recommendations are presented based on research findings.
Methodology: This research methods are descriptive and analytic. The statistical population of this research includes 1700 active industrial spaces in Ardebil province. The data of these industrial spaces were obtained from the organization of industry, mining and trade of Ardebil province and recorded in the geographic information system (GIS). In this research, spatial statistical methods such as standard distance, Moran’s spatial correlation index, General G* ord statistical model and geographic weighted regression (GWR) model are used.
Findings:The research findings show that: a) the spatial distribution pattern of industries in Ardebil province is highly unbalanced and cluster; b) the geographical distribution of the northern part of the industry; c) the center of gravity of the focus of the industrial spaces towards the central parts of the province , C) Ardebil city is the dominant center of attraction of industrial activities; d) There is a significant relationship between population variables, migration rate, urbanization rate, employment rate in industrial sector, topography and hydrology, with the distribution pattern of industries.
Conclusion: As a result, the distribution of industries in the province of Ardebil is clustered and unbalanced. At the end, recommendations are presented based on research findings.
References
1. Akbari M (2009). What is land use planning? Andishehgostar Saipa. 8(93):1-12. [Persian]
2. Akhavan H, Nazari R (2007). Performance of Industrial towns in Golestan province and providing an executive decision for their Improvement. Economics. 7(73-74):5-32. [Persian]
3. Al-Hassan MR, Diao X (2007). Regional disparities in Ghana: Policy option and public investment implication, International Food Policy Research Institute Publication. 00693:1-64.
4. Yazdani MH (2014). Analysis and leveling of educational development (in Ardebil case studies areas), Educational Planning Studies. 2(4):37-66. [Persian]
5. Anselin L (1999). Spatial¬ econometrics (Methods and model). 2nd edition. USA: Springer Publication.
6. Apostolache MA (2014). Regional development in Romania-from regulations to practice. Procedia Economics and Finance. 8:35 ـ 41. [DOI:10.1016/S2212-5671(14)00059-8]
7. Ardabil Industrial Townships Company (2011). Report of the comprehensive study and identification of business clusters in Ardebil province
8. Asgary A (2011). Space statistics analysis with GIS. First edition. Tehran: Municipality Information and Communication Technology Organization. [Persian]
9. Bresnahan T, Gambardell A, Saxenian A (2001). Old economy' inputs for 'New economy' outcomes: (cluster formation in the New Silicon Valleys). Industrial and Corporate Change. 10(4):835-860. [DOI:10.1093/icc/10.4.835]
10. Cruz SCS, Teixeira AAC (2010). The evolution of the cluster literature: Shedding light on the regional studies-regional science debate. Regional Studies. 44(9):1263-1288. [DOI:10.1080/00343400903234670]
11. Dadashpour H, Jalali A (2013). An analysis of the pattern¬ of specialization and spatial concentration of industries in Iran. Regional Planning Quarterly. 3(11):1-18. [Persian]
12. Dadashpour H, Dadejani M (2015). Identyfing and prioritizing the radical factors influencing regional competitiveness; (case study: Kurdistan Province). Regional Planning. 5(19):27-42. [Persian]
13. Esmaeilzadeh H, Masoumi L (2015). Spatial justice analysis of the cities of Ardebil province in the healthcare indices section using the vikor model. Urban Studies. 7(23):94-104. [Persian].
14. Esri (2015). Arc gis10.3 tutorials. Retrieved from www.esri.com. 2015.9.1.
15. Faraji Sabokbar H, Varizin N, Sojasi H (2014). Explaining Spatial Inequalities in Health Care Using Decision Electra Model (Case study: Townships of Khorasan Razavi Province). Geography and Regional Development. 12(22):1-18. [Persian]
16. Federman M, Levins A, College P (2005). The effect of industrialization on school enrollment and child labor. University of California. Berkeley. 1-37.
17. Feizpour MA, Samanpour Z (2017). Industrial Development and Deprivation in Iran's Regions: 2009-2013. Geographical Research. 32(1):51-63. [Persian] [DOI:10.18869/acadpub.geores.32.1.51]
18. Ghanbari Y, Barghie H, Hajarian H (2011). The analyze spatial distribution industrial parameters in districts of Isfahan province about development levels. Spatial Planning. 1(1):17-36. [Persian]
19. Ghareghozloo A, Alizadeh M (2014). Land suitability assessment for the deployment of industry-by fuzzy-ahp fuzzy logic hierarchy process analysis (Case study: Malard County). RS and GRS for Natural Resources. 5(4):79-94. [Persian]
20. Governor General of Ardabil (2011). Ardabil province planning study report. Deputy planning and budget.
21. Hatami Nejad H, AbuBakri T, Ahmadi A, Nayebzadeh F (2011). Measuring the degree of industrial development in the border regions of Iran. (Case study: northwest of Iran, Southern cities of west azarbaijan province). Urban planning Research. 2(7):1-18. [Persian]
22. Hosseinzadeh Dalir K, Safari F (2012). The effect of smart planning on urban planning. Geography and Urban Development. 1(1):19-36. [Persian]
23. Industry, Mine & Trade Organization of Ardebil Province "IMTOAP". (2011). Industries statistics of Ardabil Province. [Persian]
24. Izabella SK, Zsófia V (2013). Spatial Distribution of Knowledge-Intensive Industries in Hungary. Regional Studies and Spatial Planning. 19(4):431-444. [DOI:10.1007/s11300-013-0261-y]
25. Kamran H, Parizadi T, Amini H (2010). Leveling of urban services in Tehran metropolitan regions. Geography and Regional Planning. 1(1):147-164. [Persian]
26. Kanbur R, Venables AJ (2005). Rising spatial disparities and development. United Nations University Press. 3:1-8. [DOI:10.1093/0199278636.003.0001]
27. Kevinji K, Pover J (2007). Guide for sustainable development planners. First edition. Amirian S, Hataminezhad H, Translators. Tehran: CharkheNilofari Publication. [Persian]
28. Khakpour B, Baunpouri A (2009). Analysis and analysis of inequality in the levels of development in the areas of Mashhad. Science and Development Magazine. 15(27):182-202. [Persian]
29. Khandozzi E (2005). The realism of justice theory in Islamic economics. Islamic Economics. 5(17):113-134. [Persian]
30. Kikha N (2004). The concept and mechanisms for the realization of social justice. Political Science. 7(26):163-185.
31. Masoumi Ashkevari H (2006). Fundamentals of regional planning. Third edition. Tehran: Payam Publication. [Persian]
32. Miremoezi H (2010). Islamic economics system. Objectives and motives. First edition. Tehran: Kanoon andishe javan. Publication. [Persian]
33. Moarefy A, Etihani V, Ilanlou M (2013). Development of industrial clusters in regional planning. First edition. Mehr sajjad. [Persian]
34. Mohammadi A, Ghafari A, Noori S (2016). Determining suitable areas of industrialization (industrial clusters) using multi-criteria decision making models in GIs environment. Journal of Urban Studies. 23:69-86. [Persian]
35. Mohammadi J, Abdoli A, Beyranvand M (2012). Surveying the level of development of lorestan province different parts of housing and welfare services of infrastructure. Agriculture and industry. Applied Research of Geographic Sciences. 12(25):127-150. [Persian]
36. Motiee Langroudi H, Toorani A, Soleimangoli R (2011). Spatial impact assessment of establishment of industrial towns in rural areas of central minoodasht district. Urban and Regional Researches. 3(9):37-85. [Persian]
37. PoorAhmad A (2001). Landuse planning and balancing in the urban system of the country. Faculty of Literatures & Humanities. 160(0):479-490. [Persian]
38. Pourahmad A, Fallahian N (2005). The study of the formation of industrial axes around Tehran with emphasis on the Karaj axis of Qazvin. Geographical Research. 37(53):173-192. [Persian]
39. Pourmohammadi MR (2009). Urban land use planning, First edition. Tehran: Samt Publication. [Persian]
40. Rezvani MR, Sahneh B (2006). Estimation of developmental levels of rural areas of aghqala and bandermanar Turkmen districts. Village and Development. 8(3):1-32. [Persian]
41. Salimifar M (2009). Measuring industrial development and regional development in razavi khorasan, southern and northern khorasan. Economic Research. 9(4):175-196. [Persian]
42. Statistical Center of Iran "SCI" (2018). Population statistics of 2016 sensus. [Persian]
43. Taghvayi M, Tahmasebi Pour RM (2011). Dterminig and Analyzing of Enjoyment Levels of Booshehr's. Geographical planning of space. 1(2):59-74. [Persian]
44. Tavakoli Nia J, Nemati A (2008). The relationship between industrial towns with spatial development in ilam province. Housing and Rural Environment, 1(125):74-87. [Persian].
45. Winkler A (2012). Measuring regional inequality: an index of socio-economic pressure for Serbia. Zbornik radova-Geografski fakultet Univerziteta u Beogradu. 60:81-102.
46. Ziyari K, Zanjiri M, Kobbari Sorkh L (2010). Study and ranking of the degree of development of cities in Khorasan Razavi province using topsis techniques. Human Geography Researches. 42(72):17-30. [Persian]
47. Zeberdast E (1999). Industrial development of regions and effective factors in locating large industrial activities. Architecture and Technology. 6(0):38-29. [Persian]