Seyyad Ali Hosyni,
Volume 3, Issue 7 (6-2014)
Abstract
The major objective of this paper is to identify and determine the factors responsible for increase in rural incomes and job offers in Gilan province. The research method is based on descriptive-analytical as well as applied approach. Statistical society composed of rural settlers in Gilan. At the beginning of process ٤٥ villages were extracted using stratified sampling technique for extracting ٣٨٠ farmers. ٧٤ variables were used as main factors responsible for farmer’s income and jobs. This demands application of linear regression model. Principle component analysis led to identification of five factors including economic, social, managerial physical and geographical ones. These were capable of explaining ٦١.٠٨ % of the variation. According to linear regression analysis out of ٧٤ dependent variables, ١٣ have high correlation. It is argued that fix price crop policy, the provision of technical improvement, government employment initiatives variables with regression coefficient of ٠.٣٩٤, ٠.٢٧٢ and ٠.٢٣٩ respectively are the most important variables in this regard. It further suggests that a managerial factor is the most influential ones regarding increase in income and employment.
Ali Izadi, Sadegh Asghari Lafamjani,
Volume 14, Issue 51 (6-2025)
Abstract
Objective: The physical texture of rural settlements can change over time and according to different conditions. This change is the result of interaction and mutual relationship with environmental, economic and social factors and effects. In this regard, the economy of rural households plays a significant role in the change. The aim of the present study is to investigate the effects of saffron income generation on the change in the physical-spatial texture of Fath Abad village in Rashtkhwar County.
Methods: In this research, the role of saffron in generating income in 355 saffron-growing households living in FathAbad village was investigated. For this purpose, first, in addition to documentary studies and initial field visits, a wide range of indicators were determined in accordance with the conditions of the village under study. Then, data collection was carried out based on selected indicators using field observation forms and village and household questionnaires. Also, statistical analyses and SPSS software were used to analyze the data.
Results: The research findings confirm that there is a significant relationship between saffron income generation and housing and construction development in the study area. The correlation coefficient between saffron cultivation area and housing and construction development is 0.591, which, considering the resulting values, can be said with a confidence level of 99% that there is a direct and significant relationship between these two variables with a medium correlation.
Conclusions: The results of the study indicate that the greater the area under saffron cultivation, the greater the saffron production and, as a result, the higher the level of income generation, which ultimately leads to improved housing and construction development in the study area.
Soroush Fakharian Kashani, Ozra Javanbakht, Sedighe Hashemi Bonab,
Volume 14, Issue 54 (2-2026)
Abstract
Objective: The present study aimed to investigate the role of networking of funds supporting the development of agricultural activities in improving the income level of rural and nomadic women entrepreneurs in Urmia County.
Methods: The statistical population of the research is rural and nomadic women who are members of the microcredit fund in Urmia County. Using the Krejci and Morgan table, 182 of them were selected as the study sample. The required data was obtained by filling out the questionnaire using random sampling method. To achieve the study's goal, according to the nature of the dependent variable, which is defined as a binary variable (one for incomes higher and zero for incomes lower than the average income of the selected sample), the logit model was used. The independent variables of the model include social, educational-promotional, organizational, supra-organizational, psychological, infrastructure and supporting, political-legal, and monitoring factors, which are proposed as networking components. Finally, after estimating the logit model using EVIWES software, the marginal effects and elasticities of each independent variable were calculated using the estimated coefficients of the model.
Results: The results obtained from estimating the logit model showed that the variables of educational-promotional, monitoring, infrastructure and support, organizational, political-legal, psychological and supra-organizational factors as networking components have a significant and positive effect on the income level of women members of support funds, and social factors do not have a significant effect. Based on the calculated elasticities, with a one percent improvement in each of the mentioned factors, the income of women members of the fund will increase by 0.84, 0.9, 0.75, 0.66, 0.43, 0.92, and 0.50 percent, respectively. Also, the marginal effects showed that with a one-unit improvement in the mentioned factors, the income of rural and nomadic women increases with a probability of 0.52, 0.63, 0.44, 0.31, 0.27, 0.50, and 0.39 percent, respectively.
Conclusions: Prioritizing the impact of networking components on increasing the income of women members of support funds in Urmia County based on both elasticity and marginal effects showed that the impact of psychological, monitoring, and educational-promotional factors is greater than other components, and political and legal factors have the least impact. Therefore, efforts to improve these factors through providing educational and promotional services and holding business skill courses can be effective in the financial and economic empowerment of rural and nomadic women.
