Presenting The Most Suitable Model of Economic Resilience of Settlements In Sorena Distric

Subject Areas : Regional Planning

hamed Rostami ^{1 *} , Hossein Soleymani ² , ramin ghafari ³ , Seyd Ahanmad Khademalhoseyni ⁴

1 - PhD student in Geography and Rural Planning, Najaf Abad Branch, Islamic Azad University
2 - Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran
3 - payamnor
4 - Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Received: 2024-07-16 Published : 2025-03-05

Keywords: Economic Resilience Pattern, Financial Problems, Sorena Villages .,

Abstract :

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.