درخت حوزه‌های تخصصی

Purpose - Gender analysis is a sort of methodology offering a comprehensive image of the contribution and role of women and men in the economy of a community. In this exploration, it has been endeavored to investigate the role and contribution of women in producing and profiting from the financial benefits of saffron as an essential and exportable economic product. Design/methodology/approach- For this purpose, 253 saffron producers in 9 villages of the cities of Torbat-e-Jam and Bakherz were studied as a statistical sample using descriptive-analytic research method, including a questionnaire and a semi-organized interview. Data were analyzed by T-test, MANOVA, Duncan and Fisher test using SPSS software and Rural Participatory Appraisal (PRA) research. Finding - The outcomes of the study exhibited that there is a significant difference between the participation of family members in the studied area during different phases of production (planting, harvesting, cropping, marketing, and sales). Moreover, the inferential findings revealed that although the men's participation ratio of only 24% is significantly higher than women's participation in the production of saffron, the benefit rate of the gained saffron production profit for the men (i.e. 74/16%,) is significantly higher than the benefit rate for women (i.e. 25/84%). The Rural Participatory Appraisal method also revealed that there is a significant difference between the physical participation and saffron income between males and females. In other words, men possess almost all the financial benefits of saffron production; in fact, women are deprived of the sources that can help them be empowered in economic and social areas. Of course, rural women in the study area did not express dissatisfaction with this issue, and they believed that this income would be well spent for the whole family.

Purpose: The aim of this study was to analyze the spatial reflection rural housing reconstruction after the earthquake in Sinai district located in the Varzeghan county aspects of infrastructure-related, social, cultural and health treatment. Design/methodology/approach: This study is a descriptive and analytical. The data collection was in the library field. In the field, the questionnaire is used. The sample size was 300 and the sampling method is simple random sampling. The validity of the questionnaire was evaluated based on the validity and reliability of the Guttman coefficient (split-half) which is equal to 955/0 and show the reliability of the questionnaire. Finding: After assuring the goodness of fitting the designed model, the standardized load factor test indicates that the measuring instrument has very good validation tools and shows that the coefficients and chi-square ratio are relative to the degree of freedom that has strong correlation, the relationships between hidden variables together and the relationship of obvious variables; Investigating T values of the obvious variables shows that the Infrastructure Index has the most impact on the renovation of rural housing. Which has the most effective coefficients in this case, the variables of "gas supply", "water distribution", and "transport communication network". Finally, the covariance matrix of the independent variables of the research indicates that the path estimates between all the infrastructural, cultural, social, health and physical variables are acceptable and acceptable at the upper limit. In fact, the proposed model can be proposed as a useful tool for reflecting the spatial renovation of rural housing in general, the renovation of rural housing after the earthquake in the Sina village of Varzaghan has caused the infrastructure index to have the highest spatial reflection. Research limitations/implications: The study population dispersion and trouble completing the questionnaires, as well as the lack of necessary resources on SEM and LISREL software. Originality/value: research innovation combined two important issues the village, housing "and" disaster "and interpret the results using a combination of software LISREL structural equations and multivariable regression analysis using software SPSS.

Purpose- Considering that a diversified economy can lay the proper groundwork for improving quality of life, the present study investigates and analyzes the efficacy of diversification on rural households’ quality of life. Design/methodology/approach - The study is descriptive-analytical and its population consists of rural settlements in Golmakan Dehestan, Chenaran County. “Economic activities diversification” is the independent variable of the study which is quantified in two agricultural and non-agricultural aspects, using 14 indicators. “Rural households’ quality of life” is the dependent variable which is quantified in three social, economic and physical-environmental aspects, using 48 indicators. Questionnaires were handed to 258 rural families in 15 villages and the average score of each indicator was considered as the score of each of the villages studied. The validity of the questionnaire was established through confirmatory factor analysis (65.72%) and its reliability was established by Cronbach's alpha (0.83). Findings - The results of the step-wise regression show that diversity of non-agricultural activities has a meaningful influence on the variation of the dependent variable (rural households’ quality of life), such that a change of one standard deviation in non-agricultural activities leads to a change of 0.6 of standard deviation in rural households’ quality of life. Therefore, non-agricultural activities are influential in improving the economic conditions of families, and consequently raising quality of life among rural families. Research limitations/implications - Among the limitations of the study, the dispersed area that the villages are located in, the long distance between some villages, and the unwillingness of rural households for filling out the questionnaire can be mentioned. According to the role of non-farm activities on improving quality of life, suggestion of the study is to improve non-farming economy in rural areas. This, naturally, requires more attention to national macro-policies along with localization and necessitates implementation of successful global models regarding diversification of non-farming economy in rural areas. Originality/Value- A review of the studies regarding economic activities diversification in Iran and the world shows that, at the time of this writing, none has dealt with the influence of economic activities diversification on rural families’ quality of life.

Purpose- The present study aimed to investigate the most important obstacles to the promotion of agricultural land consolidation in the rural areas of Kangavar County. This study seeks to answer a key question: What are the main obstacles to the implementation of agricultural land consolidation policy in the villages of the study area? Design/methodology/approach - The present research is an applied one conducted in a descriptive-analytical method; field work was used for data collection and factor analysis was used for data analysis. The population of the study included 1216 land users. Using Cochran's formula, 211 questionnaires were developed and randomly distributed among the users. The stratified sampling method was used to determine the number of samples in the villages. Cronbach's alpha was used to determine the coefficient of validity of the questionnaire in the village; the validity of the questionnaire was 0.816, which indicated the data were suitable for the research. Findings- The findings show that ‘the factor of investment and fund’ accounts for 14.445% of the variance, which is the most important obstacle to the development of land consolidation in the rural areas. However, the lack of support of government agencies and organizations, infrastructural weaknesses, individual factors, lack of creativity, lack of intellectual participation and trust, lack of management and production practices, lack of knowledge and awareness, and lack of access to communication facilities in rural areas are important constraints on land consolidation in the rural areas of the study.

Purpose: The environment is a divine favor whose protection can have a positive effect on lives of humans and other creatures. A look at the verses of the Quran and the life style of the Prophet’s family (PBUT) make it clear that no school like Islam has attached such a great importance to nature and the environment. Accordingly, using Quranic indices, in this study we have aimed to analyze the level of environmental development in rural areas of Sistan. Design/methodology/approach- The population of the study is the people in the rural areas of Sistan. To determine the sample population using Sharpe formula, 40 villages (with 51663 households) out of 796 villages in Sistan region were selected, and 381 heads of households were randomly selected according to Cochran formula. For data analysis, Kruskal-Wallis statistical method in SPSS was used, and then Topsis was employed to weigh and determine the degree of development of the villages. Findings: The evaluation showed that level of environmental development in rural areas is less than .01% percent significant. Out of 9 environmental indices, the index of optimal utilization of water, with a mean of 4.29 ranked first. Practical implications- According to the research results, coherent planning for the revival of the genuine Islamic culture and development of religious teachings about the role and significance of nature, the realization of God's real ownership of all national resources, optimal utilization of natural resources, prevention of corruption in the environment, and appropriate utilization of forests and rangelands, especially national resources, is a strategy that can lead our society to sensible utilization of natural resources.