Determining the resilience pattern of Iranian provinces

جغرافیا و مخاطرات محیطی

Article 12, Volume 10, Issue 2 - Serial Number 38, July 2021, Pages 205-222   

Document Type: Research Article

DOI: 10.22067/geoeh.2021.69153.1028

Authors

Fatemeh Nasrnia¹; Nilofar Ashktorab²; Azar SheikhZeinoddin^{* 1}

¹Assistant professor of Agricultural Economics, Department of Agricultural Economics, Shiraz University

²Assistant professor of Agricultural Economics, Department of Agricultural Economics, University of Khuzestan, Mollasani, Iran

Abstract

Resilience is a new concept that main approach is to design with less vulnerability and more flexibility in the face of stress, so that a resilient province is ready to respond quickly in an emergency. The new conditions respond and continue to work with minimal damage. Therefore, the purpose of this study is to measure the resilience of the provinces using economic, social, infrastructural and environmental indicators. For this purpose, 21 indicators were collected for 31 provinces of the country and by combining them, the composite resilience index was calculated. In order to determine the weight of each indicator, FAHP method was used. Based on the results, the weight of each of the economic, infrastructural, social and environmental resilience indices was equal to 0.56, 0.13, 0.24 and 0.07, respectively. Also, based on the results of the composite resilience index, the provinces of Tehran (0.731), Khuzestan (0.498), Isfahan (0.445), Fars (0.439), Gilan (0.420) and Mazandaran (0.375) have the highest resilience among the provinces of the country. Also, Sistan and Baluchestan, Qom, North Khorasan, South Khorasan, Hormozgan, Ardabil and Zanjan provinces are the most vulnerable provinces in the country. Finally, according to the constructive indicators of resilience, the weaknesses of each province were identified and suggestions were made in this regard.

Keywords

Regional Resilience; Economic Resilience; Social Resilience; Environmental Resilience; Infrastructure Resilience

References

 آنامرادنژاد، رحیم­بردی؛ آروین، محمود؛ فرهادی­خواه، حسین؛ 1399. بررسی توان تاب­آوری مناطق در برابر مخاطرات (مطالعه موردی: استان کهکیلویه و بویراحمد). فصلنامه علمی-پژوهشی جغرافیا (برنامه­ریزی منطقه­ای). شماره 10(2). 293-296.

فرجی، امین؛ آروین، محمود؛ آتش­افروز، نسرین؛ 1397. بررسی تاب­آوری منطقه­ای با استفاده از تحلیل فضایی و مدل ترکیبی WASPAS (مطالعه موردی: شهرستان­های استان خوزستان).‎ آمایش سرزمین. شماره 10(1). 1-29.

قنبری، ابوالفضل؛ 1399. ارزیابی ارتباط بین تاب­آوری منطقه­ای و آسیب­پذیری محیطی در منطقه کرانه شرقی دریاچه ارومیه با استفاده از GIS.‎ نشریه جغرافیا و برنامه­ریزی. شماره 24(72). 319-356.

مرکز آمار ایران؛ 1399. https://www.amar.org.ir

ندایی طوسی، سحر؛ حسینی‌نژاد، رزا؛ 1398. تحلیل وضعیت تاب‌آوری منطقه‌ای در برنامه‌ریزی فضایی با تأکید بر موردپژوهی منطقه مرکزی ایران (استان‌های اصفهان، چهارمحال و بختیاری و یزد). تحلیل فضایی مخاطرات محیطی. شماره 6(2). 35-52.‎

هوشیارمنش، حسین؛ فرهادی، میلاد؛ هوشیارمنش، علی؛ جعفریان، نگار؛ 1392. خوشه‌بندی سلسله‌مراتبی و K-میانگین در نرم‌افزارهای R، SAS و MATLAB. مجله بررسی‌های آمار رسمی ایران. شماره 24. 227-240.

 

Adger WN., 2000. Social and ecological resilience: are they related?. Progress in human geography 24(3): 347-364.

Berenger V, Verdier-Chouchane A., 2007. Multidimensional measures of well-being: Standard of living quality of life across countries. World Development 35(7): 1259-1276.

Cardoni A, Noori A Z, Greco R, Cimellaro GP., 2021. Resilience assessment at the regional level using census data. International Journal of Disaster Risk Reduction 55: 102059.

Chang DY. 1996. Applications of the extent analysis method on fuzzy AHP. European journal of operational research 95(3): 649-655.

Cimellaro GP,. 2016. Urban resilience for emergency response and recovery. Geotechnical, Geological and Earthquake Engineering; Springer International Publishing: Cham, Switzerland.

Domínguez-Torreiro M., 2016. Developing a regional inclusive society index in the EU: Literature review and proposals from existing practices and experiences.

Eraydin A, Taşan-Kok T., 2013. The Evaluation of Findings and Future of Resilience Thinking in Planning. In Resilience Thinking in Urban Planning (pp. 229-239). Springer, Dordrecht.

Feldmeyer D, Wilden D, Jamshed A, Birkmann J., 2020. Regional climate resilience index: A novel multimethod comparative approach for indicator development, empirical validation and implementation. Ecological Indicators 119: 106861.

Grunfelder J, Rispling L, Norlén G., 2018. State of the Nordic region 2018. Theme 2: Labour force.

Holling CS,. 1973. Resilience and stability of ecological systems. Annual review of ecology and systematics 4(1): 1-23.

Lin LC., 2009. An integrated framework for the development of radio frequency identification technology in the logistics and supply chain management. Computers & Industrial Engineering 57(3): 832-842.

Moghim S, Garna RK., 2019. Countries' classification by environmental resilience. Journal of environmental management 230:345-354.

Muller B., 2011. Urban and regional resilience–A new catchword or a consistent concept for research and practice. In German Annual of Spatial Research and Policy 2010 (pp. 1-13). Springer, Berlin, Heidelberg.

Peng C, Yuan M, Gu C, Peng Z, Ming T., 2017. A review of the theory and practice of regional resilience. Sustainable Cities and Society 29: 86-96.

Peng J, Du Y, Liu Y, Hu X., 2016. How to assess urban development potential in mountain areas? An approach of ecological carrying capacity in the view of coupled human and natural systems. Ecological indicators 60:1017-1030.

Tan J, Hu X, Hassink R, Ni J., 2020. Industrial structure or agency: What affects regional economic resilience? Evidence from resource-based cities in China. Cities 106: 102906.

Widborg A., 2017. The Challenge of Change: Planning for Social Urban Resilience. In Urban Regions Now & Tomorrow (pp. 99-119). Springer, Wiesbaden.

Zhenge Y, Xin-Lu X, Chen-Zhen L, Mou W, Xiao-Jia HE., 2018. Development as adaptation: Framing and measuring urban resilience in Beijing. Advances in Climate Change Research 9(4): 234-242.