A Measurement Model for Factors Affecting Rural Tourism Resilience Using the Structural Equation Modeling Method (Case Study: Shamshir Tourist village in the West of Iran)

Document Type : Research Paper


1 Department of Geography, Faculty of Literature and Humanities, Urmia University, Urmia, Iran

2 Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran (Part-time Researcher at Kurdistan Studies Institute, University of Kurdistan, Sanandaj, Iran)

3 Assistant Professor, Department of Geography, Faculty of Literature and Humanities, University of Jiroft, Kerman, Iran

4 Department of Urban Planning, Faculty of Art and Architecture, University of Kurdistan, Sanandaj, Iran

5 Department of Geography, Payame Noor University, Iran.


Purpose: The tourism industry is one of the crucial economic sectors deeply affected by the Covid-19 pandemic, especially rural tourism, which has been one of the main sources of income and employment for the local community and residents of the tourist villages. Therefore, this study aims to provide a measurement model for factors affecting rural tourism resilience in the Shamshir tourist village (located in Paveh County).
Methods: The present quantitative and applied study is conducted by the descriptive-analytical method. The statistical population includes all residents of Shamshir village working in the tourism sector. In this study, simple random sampling available for research was used to obtain an ideal sample. And Cochran's modified formula (n = 121) was used to determine the sample size. The tool used in this research is a questionnaire developed by the researcher, whose validity was formally confirmed using experts' opinions. Its reliability was also confirmed by calculating Cronbach's alpha coefficient. Partial least squares structural equation modeling (PLS-SEM) was used for the experimental data analysis, and multigroup analysis (MGA) was used to investigate the heterogeneity of the socio-economic status of the villagers.
Results: The results of structural equation modeling showed that among different factors, the human capital factor (β = 0.636, sig = 0.000) and financial capital (β = 0.255, sig = 0.000) have the greatest effect on the resilience of villagers.
Conclusion: Improving literacy levels and providing the necessary platform for earning extra income play a decisive role in improving the level of resilience of people active in the tourism sector. Thus, strengthening them should be on the agenda of policymakers and tourism development planners.


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