ارائه مناسب ترین الگوی تاب آوری اقتصادی در سکونتگاههای روستایی بخش سورنا- شهرستان رستم

فصلنامه علمی برنامه ریزی منطقه ای

دوره 14، شماره 54، شهریور 1403، صفحه 199-208   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.30495/jzpm.2024.33682.4350

نویسندگان

حامد رستمی¹؛ حسین سلیمانی^{* 2}؛ سید رامین غفاری³؛ احمد خادم الحسینی⁴

¹دانشجوی دکتری جغرافیا و برنامه ریزی روستایی، گروه جغرافیا، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران

²استادیار گروه جغرافیا، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ایران

³دانشیار جغرافیا و برنامه ریزی روستایی، موسسه آموزش و ترویج کشاورزی، تهران، ایران

⁴دانشیار گروه جغرافیا، واحد نجف آباد، دانشگاه آزاداسلامی، نجف آباد، ایران

تاریخ دریافت: 26 تیر 1403،  تاریخ بازنگری: 17 شهریور 1403،  تاریخ پذیرش: 20 شهریور 1403 

چکیده

روستاهای تاب آور از طریق تعمیق درک از وضعیت موجود و حرکت به سمت راهکارهای پایدارتر میتوانند نقطه عزیمت مناسبی فراهم کنند. این رویکرد به پیوند فرآیندهای اقتصادی، اجتماعی با فرآیندهای زیست محیطی کمک کرده و از آسیب پذیری فضایی، اقتصادی(مبنای پژوهش حاضر) و اجتماعی روستاها جلوگیری نموده و در نتیجه منجر به افزایش ظرفیت برای مقابله با تغییرات آهسته و ناگهانی است که در روستاها به خصوص در شرایط بحران رخ میدهند. هدف این پژوهش شناسایی مشکلات اقتصادی روستاهای بخش سورنا و در مرحله بعد ارائه الگوی تاب آوری اقتصادی برای روستا میباشد. روش پژوهش حاضر روش آمیخته بود. بدین منظور با بهرهگیری از روش تحلیل مضمون برای شناسایی مشکلات اقتصادی و در ادامه برای ارائه الگوی تاب آوری اقتصادی از مدل معادلات ساختاری با استفاده از نرم افزار Amos استفاده شد. نتایج نشان از مشکلات اقتصادی روستاهای بخش سورنا، عدم وجود امنیت شغلی، عدم وجود تنوع تولید کار، عدم وجود سلامت سیاست مالی وپولی، عدم وجود امکانات مناسب و عدم وجود زیرساختهای مناسب دارد. و برای الگوی تاب آوری مؤلفه افزایش دانش و آگاهی بر تاب آوری اقتصادی روستای سورنا با ضریب تاثیر 24/0، مؤلفه میزان آسیب پذیری بر تاب آوری اقتصادی روستای سورنا با ضریب تاثیر 73/0 ، نرخ اشتغال و درآمد بر تاب آوری اقتصادی روستای سورنا با ضریب تاثیر 63/0، مؤلفه توانایی بازگشت به شرایط مناسب بر تاب آوری اقتصادی روستای سورنا با ضریب تاثیر 76/0 و مؤلفه توانایی میزان خسارت وحمایت مالی بر تاب آوری اقتصادی روستای سورنا با ضریب تاثیر 38/0اثرگذار بوده است.

کلیدواژه‌ها

تاب آوری اقتصادی؛ سکونتگاه روستایی؛ بخش سورنا

عنوان مقاله [English]

Presenting The Most Suitable Model of Economic Resilience of Rural Settlements In Sorena Distric- Rostam Township

نویسندگان [English]

hamed Rostami¹؛ Hossein Soleymani²؛ ramin ghafari³؛ Ahmad khademalhoseini⁴

¹PhD student in Geography and Rural Planning,, Najaf Abad Branch, Islamic Azad University, najafabad, Iran

²Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran

³associate prog Geography, tehran, iran

⁴najafabad Branch

چکیده [English]

Paying attention to village resilience is crucial. Resilient villages provide a solid foundation by enhancing understanding of current conditions and progressing towards sustainable solutions. This approach integrates economic, social, and environmental processes, mitigating spatial, economic (as per current research), and social vulnerabilities, thereby enhancing the ability to manage gradual and sudden changes, particularly during crises. This research aims to first identify economic challenges in Sorna village and subsequently develop an economic resilience model. The study employed a mixed-method approach, using thematic analysis to identify economic issues and employing structural equation modeling with Amos software to develop the resilience model. Findings highlight economic challenges such as job insecurity, limited labor diversification, inadequate financial policies, and deficient infrastructure. Regarding the resilience model, components impacting Sorna village’s economic resilience include knowledge enhancement and awareness (impact factor: 0.24), vulnerability level (impact factor: 0.73), employment rate and income (impact factor: 0.63), capacity to recover (impact factor: 0.76), and ability to withstand damage and receive financial support (impact factor: 0.38). Notably, knowledge enhancement has the least impact, while the capacity to return to favorable conditions has the greatest impact.
Regarding the resilience model, components impacting Sorna village’s economic resilience include knowledge enhancement and awareness (impact factor: 0.24), vulnerability level (impact factor: 0.73), employment rate and income (impact factor: 0.63), capacity to recover (impact factor: 0.76), and ability to withstand damage and receive financial support (impact factor: 0.38). Notably, knowledge enhancement has the least impact, while the capacity to return to favorable conditions has the greatest impact.
Extended Abstract
 
Introduction
In rural areas of the country, where a significant portion of the population resides, inadequate facilities create numerous challenges for residents, especially in facing natural disasters. Therefore, focusing on rural resilience is crucial. These regions, characterized by low socio-economic levels and weak infrastructures, are highly vulnerable to disasters (Mohammadi Ostad Kalayeh et al., 2016). Resilient villages can reduce their spatial, economic, and social vulnerabilities by understanding their current situations and moving towards sustainable solutions (Applicants and colleagues, 2017). Resilience, as a set of capacities, can be developed through interventions and policies, enhancing community response and recovery capabilities. Assessing sustainability and economic conditions of communities identifies existing deficiencies and vulnerabilities. This study presents an economic resilience model for the rural settlements of Sorena in Fars province, highlighting the potential for rural economic resilience to facilitate development and improve living conditions (Weiss and Shakeri, 2016). Economic diversification and transitioning from single-product economies can enhance rural resilience. Rural planning emphasizes the concept of economic resilience to reduce vulnerability and reconstruct rural systems (Roknaldin, 2014). While physical aspects like land use and infrastructure facilities are vital in rural development planning (Wana & Sofi, 2016), economic dimensions significantly influence resilience and resistance to natural and economic crises. This research evaluates the economic resilience of rural areas in the Sorena region, a subdivision of Rostam county in Fars province. Studies indicate that rural areas in this region face challenges such as household financial shortages, high illiteracy rates, rural depopulation, unemployment, and significant household size issues, hindering rural development (Rostami, 2014). Sorena comprises 110 villages and rural settlements, all experiencing substantial economic deprivation across various dimensions, making the assessment of their economic resilience imperative.
 
Methodology
This article employed a mixed research method with a sequential exploratory design, combining quantitative and qualitative approaches to enhance understanding of research issues. The qualitative approach utilized the phenomenological method to identify economic challenges in the region through interviews with experts from villages in the Sorna district. Conversely, the quantitative approach employed the descriptive-survey method, gathering and analyzing opinions and perspectives from 384 residents of this area using a questionnaire. The research employed random sampling and targeted sampling techniques, integrating qualitative and quantitative data to present a comprehensive depiction of living conditions and economic issues in the studied villages.
 
Results and Discussion
The study employs a multi-stage process to analyze data collected through sampling tools in the target population. Initially, descriptive statistics provide insights into the demographic characteristics of respondents, followed by coding and categorizing data to facilitate various analyses and relationships among variables for hypothesis testing. Statistical analysis, conducted using SPSS, encompasses both descriptive and inferential statistics. Model fit for structural equation modeling is assessed using several fit indices including X2 significance, X2/df, goodness-of-fit index (GFI), non-normed fit index (NNFI), comparative fit index (CFI), root mean square error of approximation (RMSEA), and root mean square residual (RMR). The study finds that the data support the structural model’s compatibility and adequacy. Component analysis reveals varying impacts, with knowledge enhancement having the least impact and the resilience capacity to return to favorable conditions having the most significant impact on economic resilience in the villages of Sorena.
 
Conclusion
Analyzing and enhancing resilience against natural disasters has become an important focus area. These analyses aim to foster sustainable development and disaster management to bolster economic resilience. Research findings highlight issues in the Sorena sector, including job insecurity, dependence on single-product economies, inadequate financial policies, and neglect of essential infrastructure. Hypothesis testing underscores that the primary concern in this region is insufficient access to water. Finally, employing path analysis models, the impact of various factors on economic resilience was examined, concluding that enhancing resilience is effectively achieved through certain key factors.

کلیدواژه‌ها [English]

Economic Resilience Pattern, Financial Problems, Sorena Villages

مراجع

1. Al-Nammari, F., & Alzaghal, M. (2015). Towards local disaster risk reduction in developing countries: Challenges from Jordan. International Journal of Disaster Risk Reduction, 12, 34-41. https://doi.org/10.1016/j.ijdrr.2014.11.005
2. Beilin, R., & Wilkinson, C. (2015). Introduction: Governing for urban resilience. Urban Studies Journal Limited, 52(7), 38-51. https://doi.org/10.1177/0042098015574955
3. Cutter, S. L., Ash, K. D., & Emrich, C. T. (2014). The geographies of community disaster resilience. Global Environmental Change, 29, 65-77. https://doi.org/10.1016/j.gloenvcha.2014.08.005
4. Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., et al. (2008). A place-based model for understanding community resilience to natural disasters. Global Environmental Change, 18(4), 598-606. https://doi.org/10.1016/j.gloenvcha.2008.07.013
5. Dadashpoor, H., & Adeli, Z. (2016). Measuring the Amount of Regional Resilience in Qazvin Urban Region. Emergency Management, 4(2), 73-84. [In Persian]. https://dorl.net/dor/20.1001.1.23453915.1394.4.2.6.6
6. Holling, C. S., & Walker, B. H. (2003). Resilience defined. In International Society of Ecological Economics (Eds.), Internet Encyclopedia of Ecological Economics. Retrieved from http://www.ecoeco.org/publica/encyc.htm
7. Kelin, R. J., & Nicholls, F. (2003). Thomalla, Resilience to natural hazards: How useful is this concept? Environmental Hazards, 5(1-2), 35-45. https://doi.org/10.1016/j.hazards.2004.02.001
8. Mohammadi Ostadkelayeh, A., Bayat, N., Khorasani, M., & Nik Ravesh, R. (2017). Identify and analyze the factors affecting the carpet industry downturn in rural areas (Case Study: Turkmen carpets - Gonbad-e Qabus Township). goljaam, 12(30), 67-82. [In Persian]. http://dorl.net/dor/20.1001.1.20082738.1395.12.30.3.2
9. Namjooyan, F., Razavian, M. T., & Sarvar, R. (2017). Binding urban resilience for the future management of cities. Geographical Quarterly of the Land, 14(55), 81-95 [In Persian].
10. Noori, S. H., & Sepahvand, F. (2016). Analysis of Rural Area Resilience Against Earthquake; Case Study: Shirvan District (Boroujerd County). Journal of Rural Research, 7(2), 272-285. [In Persian]. https://dorl.net/dor/20.1001.1.20087373.1395.7.2.1.4
11. Petak, W. (2002). Earthquake resilience through mitigation: A system approach. Paper presented at the International Institute for Applied Systems Analysis, 12 Sep 2002, Laxenburg, Austria.
12. Ramezanzadeh Lesboui, M., & Badri, S. A. (2014). Explaining the socio-economic structures of local communities' resilience to natural disasters with emphasis on floods; Case study: Cheshmeh Kileh Tonekabon and Sardabroud tourist basins of Kelardasht. Geography (Scientific, Research and International Quarterly of the Iranian Geographical Society), 12(40), 109-131. [In Persian].
13. Roknedin Eftekhari, A., Moosavi, S. M., Poortaheri, M., & Farajzadeh Asl, M. (2014). Analysis of the role of livelihood diversity to rural household resilience in drought condition: Case study of the drought-exposed areas of Isfahan province. Journal of Rural Research, 5(3), 639-662. doi: 10.22059/jrur.2014.53186
14. Rose, A. (2005). Analyzing terrorist threats to the economy: A computable general equilibrium approach. In H. Richardson, P. Gordon, & J. Moore (Eds.), Economic Impacts of Terrorist Attacks. Edward Elgar. pp. 196–217.
15. Rostami, H. (2014). Investigating the factors affecting the underdevelopment of villages in Sorena district of Rostam city (Master Thesis). Islamic Azad University, Marvdasht Branch. [In Persian].
16. Thilo Lang (2010). Urban Resilience and New Institutional Theory – A Happy Couple for Urban and Regional Studies?
17. Veisi, F., & Shakeri, B. (2016). Assessing the Physical Resilience of Rural Settlements from the Perspective of Dehyaran. Quarterly Journal of Rescue and Relief, 8(4), 103-124.
18. Wana, M., & Sofineyestan, M. (2016). Assessment of resilience in urban factor (Case Study: Sirous neighborhood Tehran). In 1st National Symposium on Key Issues in Civil Engineering, Architecture and Urban Development, Gorgan, Department of Education and Research Pars Barogsters Engineering Company, Farhangian University of Golestan Province.