درخت حوزه‌های تخصصی

Purpose- Among the most important challenges in the agricultural sector are lack of optimal use of production factors, multiplicity of parcels and dispersion of agricultural lands. Land consolidation is one of the effective solutions which can change the size of fields and organize them to increase production, especially in paddy fields, which facilities agricultural development and ultimately achieves a sustainable livelihood in rural areas. The purpose of this study is to evaluate the success rate of paddy field consolidation project through the study of a group of farmers who are included in the land consolidation project. Design/Method/Approach- The population of the study consisted of 285 farmers from 11 villages of Choobar rural district in Shaft County who have been selected by regular sampling method. To collect the data, library and survey methods (observation and questionnaires) have been used. Cronbach's alpha was used to measure the reliability of the research tools, and in the analytical part, single-sample t-test was used to evaluate the success rate of the project in Choobar rural district; To investigate the relationship between land consolidation project and improvement in economic indicators of rural households, initially Spearman correlation coefficient was used, then simple regression test and coefficient of determination R2 were used to measure the effectiveness of the project on economic indicators. Finding- The research findings on the level of economic and social dimensions and the assessment of the success rate of the project in Choobar rural district showed the project was moderately to highly successful in the study area. The effects of the project in improving the socio-economic indicators of rural households in Choobar rural district are such that the highest correlations were found between the project and economic indicators in the use of machinery, land infrastructure, productivity, household employment, ease of access to machinery and manpower, income, and investment; At the level of social indicators the highest correlations were respectively found in interpersonal and generalized trust, objective participation, sense of physical security, insurance services, formal participation, conflict reduction and institutional trust. From farmers’ perspective, among the socio-economic indicators, the infrastructure indicator which is created by the government and the use of machinery after the implementation of the project, and the ease of access to machinery and manpower, interpersonal and generalized trust have had the greatest impact on the implementation of the project.

Purpose- Currently he occurrence of recent droughts in Iran and the severity of its damage indicate the vulnerability of farmers. The economic-environmental damages and the resilience farmers to this incident are evident in diverse ways. Therefore, recognizing the resilience of the population influenced by drought can offer a tool to prevent life-threatening disaster in high-risk areas. The aim of this study was to evaluate the economic resilience of rural households to drought in plain of Kermanshah and answer the following questions. What is the extent of economic resilience of rural households in Mahidasht to drought? What are the most important factors affecting the economic resilience of rural households to drought? Design/methodology/approach- This is an applied research and a descriptive-analytical method along with library analysis and field surveys were adopted for data collection. The statistical population of this study consisted of 5081 households, out of whom 357 samples were selected according to Cochran's formula. Descriptive and inferential statistics (One-sample t-test) and structural equation modeling were used for data analysis. Findings- According to the results of t-test, the variables of vulnerability of villagers' property and assets (mean=3.99) and the impact of drought on the value of assets (mean=3.86) gained the highest average in terms of resilience. On the contrary, the two variables of ability to compensate (mean=1.67) and membership in cooperatives and agricultural companies (mean=1.67) had the lowest averages. Moreover, the test results of all four variables of evaluating farmers’ knowledge and awareness indicate a correlation between the independent variables (prevention, preparedness, reconstruction, institutional management) and the dependent variable (economic resilience). Therefore, it can be contended that the economic resilience of Mahidasht is fairly weak.

Purpose- In the hierarchical planning of central places, systematic and calculated settlement is based on the desired spatial system, and small cities play a major role in striking balance and equilibrium in the residential system. The role and function of this type of rural centers lay the theoretical basis for strategies of developing a balanced settlement model. The proponents of small towns point to importance of these settlements as service centers in rural development, stressing the construction of a cohesive settlement hierarchy and the effects of top-down distribution. According to their view, small towns are at the forefront of rural and regional development in terms of production and institutional structure, preventing the over-concentration of population and activities in large cities. It is an issue that has deprived these cities of proper economic returns and investment. Design/methodology/approach - In this study, the effect of Molkabad City on the spatial organization of rural settlements is investigated, and research hypotheses are tested using t-test, Wilcoxon, Kruskal-Wallis and WASP. Finding- Of the sample villages in various geographical areas located at varying distances, Derakht-e Sepidar Village has the highest Qi in WASPAS model and is ranked first, thus having the highest spatial development among the sample villages. It is true because this village is located in a plain area adjacent to a dirt road that leads to Molkabad City. In the same region, Razan Village has the lowest Qi in WASPAS model and is ranked last, mainly because this village is located on a plain, but far from communication routes. Further, this village is within the jurisdiction of Binalood Town rather than Molkabad or even the center of its county, Imam Taghi Village. In general, according to the results obtained from the WASPAS model, it can be mentioned that there is a slight difference between the first and the last village and the rate of spatial development in the studied villages is almost identical. That is, it is not pertained to the remoteness and proximity to Molkabad City.

Purpose- Informal settlement is largely rooted in migration, particularly influenced by parameters such as poverty, lack of expertise and specialization, type of occupation, cultural conflict, illiteracy, ethnic and cultural identity. Most of the residents of these areas are forced to live in ghettos and slums due to factors such as lack of access to jobs in the city coupled with poverty and lack of specialization. Heterogeneous and dispersed constructions without observance of technical principles and urban planning with narrow, meandering alleys, running sewage in the alleys and unsavory sanitary condition are among the adverse consequences of informal settlement. Therefore, the main purpose of this study is to investigate the key factors affecting rural migration with emphasis on the issue of informal settlement in Shirabad neighborhood of Zahedan. Design/methodology/approach- The research method is descriptive-analytical and data collection was conducted by a survey. In the first step of the research, a list of primary factors involved in the spread of migration to informal settlements was identified as research variables using existing documents and previous researches. The variables were analyzed based on two local communities (all heads of households in Shirabad neighborhood) and expert questionnaires. Descriptive statistics and exploratory factor analysis in SPSS software as well as cross-impact analysis model in MicMac software were used for the analysis of data. Findings- The results suggested that four key factors of drought and lack of water resources, reduced productivity and devaluation of the agricultural sector, inappropriate infrastructure in rural areas and wage gap between rural and urban areas play a key role in shaping rural migration and intensifying informal settlement.