درخت حوزه‌های تخصصی

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- One of the most important strategies facing drought and agriculture water shortage in North-West Iran is developing pressurized irrigation systems (PISs). In this regard, the present study aims to investigate the factors determining the adoption of the PISs by farmers in Ardabil Province. Design/methodology/approach- First, by drought zoning of Ardabil Province (by SPI method and GIS software), three regions including regions with mild, moderate and severe drought levels were determined. In the second step, using multi-stage cluster sampling, adopter and non-adopter farmers of the PISs were selected from three regions of study (n= 415). Also, the logistic regression was used to determine the affective and distinctive factors of farmers' groups. Findings- According to the results of logistic regression analysis, the predictive power of model was 0.622 and the sensitivity of the regression model to determine the model validation was obtained as 85.8%. Also, from among 17 factors of study, 7 factors of education level, farm income, knowledge about the PISs, the infrastructure for PISs, the effect of local weather conditions, the trust towards the optimality of PISs and the improvement in farm water management, positively impacted on the adoption and use of PISs. Among effective factors, knowledge about the PISs (Wald: 32.676), the trust towards the optimality of PISs (Wald: 27.855) and the infrastructure for PISs (Wald: 21.648) were the most important factors predicting to the decision to adopt and use PISs among farmers. Research limitations/implications- Since the study was carried out in a large area of the province, accessing the farmers and experts in the Ardabil Province was difficult and time consuming. Practical implications- The agricultural extension and education programs and PRA method, can provide the basis for the adoption of PISs among most of the farmers. Also, the infrastructure programs for the implementation and setting up of PISs are the priority of governmental projects to develop the PISs in the regions of the study. Originality/value- It seems that identifying and providing the necessary infrastructure for implementing pressurized irrigation programs should be based on the scientific needs assessment of the agricultural fields’ conditions in different regions. Also, proper the appropriate government funding and financial support for the appropriate infrastructure of PISs will increase the willingness of farmers to adopt and use of the PISs.