TY - JOUR ID - 88424 TI - Structural analysis of components affecting socio-economic sustainability in rural areas of Ilam province JO - Human Geography Research JA - JHGR LA - en SN - 2008-6296 AU - Karamshahi, Sakineh AU - Seidaiy, Seyyed Eskandar AU - Amini, Abbas AU - Karami, Farzad AD - Department of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, Isfahan University, Isfahan, Iran Y1 - 2024 PY - 2024 VL - 56 IS - 1 SP - 23 EP - 45 KW - economic sustainability KW - social sustainability KW - Structural Equation Modeling KW - Rural Areas KW - Ilam Province DO - 10.22059/jhgr.2022.326278.1008333 N2 - Extended Abstrac Introduction In the current situation, it becomes more necessary to pay attention to social and economic sustainability, taking into account the challenges and bottlenecks facing developing countries, and in the meantime, rural areas are facing many problems. A significant share of rural instabilities goes back to socio-economic instability, which, in addition to deteriorating employment, income, inequality of opportunity, access to services, basic needs, and the like, also has negative feedback on environmental sustainability. Due to these instabilities, rural areas are experiencing consequences such as urban-rural inequalities, population evacuation, migration, and environmental degradation. Economic sustainability and social sustainability are two inseparable components because individual welfare is not separate from the welfare of society, and the existence of social cohesion, empathy, and tolerance leads to the creation of space in which people feel more responsible and believe that a fairer distribution of resources plays a key role in the long-term survival of society.   Methodology The type of research is applied and descriptive-analytical in terms of its nature and method. Inferential statistical methods (one-sample t) and structural equation modeling were used to analyze the data. The statistical population of this research uses spatial analysis in GIS for sampling (Using the adjacent layers raster to the province's permanent rivers, settlement density, rural population density, distance from the road, distance from the nearest cities, the province's land layer, slope, and height and their overlap in the final raster and placing the whole province in 3 classes are high, middle, low. Out of 378 villages with more than 20 households, 37 villages were selected as a sample, and 250 questionnaires were calculated and randomly completed by the villagers in 2020-2021.   Results and Discussion Numerical mean analysis obtained from the calculation of components affecting socio-economic sustainability in rural areas was obtained among the respondents using questionnaire data. To investigate this issue, a single-sample t-test was used, in which the component of social participation with an average of 3.1646 was higher than the average (3). Also, the analysis of research data with the structural equation modeling approach in PLS software includes the study of model fit in three parts as measurement model, structural model, and general model. Measurement models show the relationship between each hidden variable and its indicators. The reliability and validity of the variables are checked to evaluate the measurement models. After testing the measurement models, it is necessary to evaluate the structural model of the research that shows the relationships between the variables. For this purpose, are examined the coefficient of determination (R2) and the predictive power of Stone and Geiser (Q2). After evaluating the measurement and structural models of the research, the fit of the overall model is examined. The GOF criterion is used to evaluate the fit of the overall model. Finally, the results show that according to the results of t and the significance of path coefficients in PLS software, social stability has a more important role in creating overall stability than economic stability.   Conclusion Structural analysis of components affecting socio-economic sustainability in order to identify, strengthen, and develop socio-economic factors affecting sustainability in the study area was the main purpose of this study. In terms of components and factors affecting the socio-economic stability of the study area, the results of the one-sample t-test showed that the component of social capital (social participation factor) has the greatest impact on social sustainability in the study area and in terms of economic stability except for the rural investment factor, other factors are in a weak position. The results obtained from estimating the structural equation modeling of fit indices have good validity and reliability. Also, the results of the structural equation modeling technique (in three parts as measurement model, structural model, and general model) showed that social capital has a greater impact on social stability than social welfare. Also, the economic justice component has the most significant impact on regional economic stability.   Funding There is no funding support.   Authors’ Contribution Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.   Conflict of Interest Authors declared no conflict of interest.   Acknowledgments  We are grateful to all the scientific consultants of this paper. UR - https://jhgr.ut.ac.ir/article_88424.html L1 - https://jhgr.ut.ac.ir/article_88424_e2a5ec517af732d6528e8ea259d08001.pdf ER -