نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری جغرافیا و برنامه ریزی روستایی، گروه جغرافیا، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
2 استادیار گروه جغرافیا، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ایران
3 دانشیار جغرافیا و برنامه ریزی روستایی، موسسه آموزش و ترویج کشاورزی، تهران، ایران
4 دانشیار گروه جغرافیا، واحد نجف آباد، دانشگاه آزاداسلامی، نجف آباد، ایران
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [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]
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