نشریه راهبردهای توسعه روستایی
سال دهم شماره 1 (پیاپی 37، بهار 1402)

AIn Iran, the risk of annual floods causes great damage to the villagers of the affected areas, especially in the housing sector. Therefore, it is necessary to pay attention to physical resilience due to the high vulnerability of rural housing in the face of floods. Based on this, the present study has investigated the optimal strategies for physical resilience of rural housing in the face of floods. The research method is descriptive-analytical based on documentary studies and field survey After initial exploratory studies, 9 villages in Dargaz city that were most vulnerable to floods were selected as a sample.data analysis was performed using two strategic planning instruments (SWOT-QSPM(. Due to the expertise of these two tools, the research questionnaire was completed with the help of 25 rural experts (Dehyar and members of the village Islamic council). Based on initial exploratory studies, 14 strengths and opportunities were identified as advantages and 18 weaknesses and threats as constraints on the physical resilience of rural housing in the face of floods. According to the final score IFE = 2.46 And EFE=2.41 "Defensive strategies" or at least - at least as focal strategies were selected to increase the physical resilience of rural housing. The overall goal of defensive strategies, or "survival strategies," is to reduce system weaknesses to reduce and neutralize threats. Based on the analysis performed in the QSPM matrix, among the defensive strategies of "Increasing residents' knowledge and awareness of the principles of standard construction in flood-prone areas", it has obtained the highest score of 2.637 and was selected as the first strategy.

The formation and expansion of rural cooperative companies is one of the most important policies and strategies for the development of the agricultural sector and the rural society of Iran in the last half century. Therefore, considering the role that rural cooperative companies can have in this regard, the present research was conducted with the aim of identifying the barriers to the development of rural cooperative companies in Urmia city. This research is applied in terms of purpose and analytical-exploratory in terms of methodology and has a qualitative-quantitative approach. The statistical population consisted of two groups. The first group was experts and experts in rural cooperative affairs, which was conducted with 15 people using a targeted sampling method. The second group of managers and members of the board of directors of rural cooperative companies in Urmia city in 2021 were 120 people, and due to the limited statistical population, the census method was used to collect information. Collecting and collecting data and information was done in the form of documents and field. Data analysis was done using exploratory factor analysis technique and with the help of Spss22 software. The results of the research showed that the barriers to the development of rural cooperative companies in Urmia city were classified in the form of seven social-cultural factors, structural, economic, managerial, political, organizational-supportive and service characteristics, and the first factor is called cultural. - Social and by explaining 11.41% of the variance changes, it was introduced as the most important factor, which is the low professional knowledge of the cooperative members, the differences in the amount of members and cooperative elements, the low spirit of responsibility among the cooperative members, including The variables located in this factor were Based on the obtained results, the problems summarized in seven factors explained about 62% of the total variance changes. According to the results of the research, it is suggested to raise the awareness of the members through holding empowerment workshops regarding the nature and function of cooperatives, principled and realistic planning based on the needs of cooperatives .

Lack of food diversity as the most important aspect of household access to food is a major challenge for rural communities. The main purpose of this study is to assess the food security status of rural households in the study area using the food diversity index and determine the main factors affecting the household diet. This cross-sectional research is one of the applied researches that has been compiled by a descriptive-analytical method. The main tool for data collection is a combination of a standard questionnaire calculating the score of food diversity in terms of counting food groups consumed by the household in the reference period of 24 hours before the interview and a researcher-made questionnaire. The statistical population includes all rural households in West Azerbaijan province. 482 households were selected as a statistical sample by cluster sampling in several stages using Cochran's formula. The results showed that the main food groups consumed by rural households in West Azerbaijan province are cereals with% 57.9, root and tuberous plants with% 56.4 and legumes with% 49.8.Also, in terms of food diversity classification of rural households, %58.1 were in the category of moderate food diversity. Analysis of hypothetical relationships based on standard values obtained from Maximum Likelihood Estimates and Bayesian maximal estimation methods in Amos software showed that the variables of livestock ownership, education level, household size, and annual income, in general, explain% 85 of the changes in food variability dependent variables. It is suggested to diversify the sources of income and at the same time improve the level of education of the head of the household, which leads to increasing nutritional knowledge and leading the diet towards choosing and consuming healthier and more varied products in the diet of rural households

Attention to food security in Iran has always been one of the main goals of rural and agricultural development programs. In this regard, rural households, which are the main suppliers of the country's food, should have proper access to the desired food, while this issue has always faced many challenges. Therefore, the purpose of this study, which was conducted in the year 2021 with a qualitative method, was to analyze the challenges of food security in rural households. The study population was the heads of rural households in Haft Ashian District from Kermanshah Township (N=375). The main tool of data collection was in-depth interviews with key informants who were studied through purposeful sampling and snowball method (n=35). Analysis of data collected by content analysis method using MAX-QDA12 software led to the identification 44 concepts in the form of 4 main categories. Based on this, the basic challenges of food security in the study area in order of importance include: financial and credit challenges (frequency: 212), weak management and legislation (frequency: 190), socio-cultural challenges (frequency: 183) and the complexity of the nature of agriculture and environmental conditions (frequency: 181). Therefore, improving the income rural households will have important and significant effects on the improvement of food security, and the emphasis and attention of the authorities on financial and credit challenges can be very useful.

The physical-spatial system, as one of the subsystems of the rural area, changes under the influence of a number of internal factors and its external environment. Among the external environmental factors, cities and the nature of their spatial interaction with rural areas are one of the most important factors that influence the development of the village and especially the physical-spatial system. Accordingly, the aim of this study is to investigate the physical-spatial changes in the villages on the outskirts of Kalaleh. The research method is descriptive and analytical. In this study, based on the research objectives, the study of land use changes in the study area was conducted using Landsat satellite images (4, 5 and 8) for 2000 and 2020. The used false color images of OLI sensor were referred to the panchromatic band with 20 ground control points and considering the corresponding RMSe (0.28) of the ground. Then, the images of the sensors MSS and TM were referenced by the image-to-image method with RMSe less than 0.5 soil. In this study, supervised classification and maximum similarity algorithm were used to monitor land cover changes. The results of the land use change detection method and the study of the growth of villages in the outskirts of Kalaleh during these years show that the physical development of these villages, especially around Kalaleh city, is growing according to the needs of the population and consequently the process of conversion of agricultural land. And a village on the outskirts of the city was associated with an upward trend. Although the capital and labor in the region dominate and have a relative superiority over the area, there is a reciprocal relationship with the surrounding rural areas. In other words, the city of Kalaleh, by providing livelihood services and facilities to the villages within its sphere of influence, as well as purchasing products produced by the villagers and creating the conditions for the growth and dynamism of the villages, brought about physical-spatial changes in these villages.

The tourism industry is the largest industry in the world and all countries is considered an essential tool for the development of economic activities in different fields. The development of this industry, especially in rural tourism, can help the development of local businesses. The general purpose of this study is to analyze the factors affecting the development of rural tourism, especially during the Corona period from the perspective of the residents of Bozhan village in Neishabour. This research is descriptive and analytical. The validity and reliability of the questionnaire were obtained through factor analysis and Cronbach's alpha. In this regard, a questionnaire was provided to the villagers based on Cochranin which the sample size was 294 people. Sample selection from local people is done by a simple random sampling method. Research objectives are performed by descriptive statistics and then an exploratory factor analysis technique, multiple regression and t-test. In this regard, the collected data are analyzed using Excel and SPPS software. The statistical results show that the factors of village attractions, village infrastructure, and villagers’ attitude, and economic level, social, managerial and environmental level are the factors that affect the development of tourism in Bozhan village and have a direct relationship with it. But coronavirus has the highest percentage of variance in the factors affecting tourism development with an inverse relationship with the dependent variable. Finally, some suggestions are mentioned based on the analyzing data for the development of rural tourism in this region during the Corona period.

Medicinal plants have been great importance throughout human life. Because the variety of medicinal plants in Iran is huge, exporting these types of plants can be a great deal for Iran. In this study, according to data from 1997 to 2020 in FAO, four types of herbs, fennel, anise, badian, and coriander were used to cluster the target export markets (the top 20 countries). These 20 countries were selected based on market share indicators, market size, market growth, export continuity, market structure, competitive advantage and export price, then clustered using k-means clustering technique and SPSS software. The results showed that Iran's export target markets should be divided into four clusters based on export price priority. Pakistan, UAE and Ukraine in one cluster (first cluster), Peru, India, China, Bangladesh, Bahrain, Turkey, Qatar and Kuwait in one cluster (second cluster), Japan and Korea in third cluster and Singapore, UK, Colombia, Malaysia, Spain, Belgium, Germany and Russia are in the fourth cluster. Therefore, it is suggested to increase exports to the countries in the first cluster. On the other hand, it is possible to export more to countries around Iran at a lower price. Because the countries of the fourth cluster are new markets for Iranian medicinal plants, more currency can be earned by exporting to these countries. It is also suggested that the government pay more attention to the export of medicinal plants that have a high global demand.

The concern of rural development and the empowerment of rural communities is one of the most important issues of underdeveloped communities in the world today. Before this, it was believed that these communities can be saved from poverty and backwardness with some interventions and by preparing comprehensive plans and in an orderly manner and provide a sustainable livelihood for the rural residents; But today, it is clear that the inner power and capacity of rural communities is involved more than anything else in the possibility of realizing development and creating a sustainable livelihood. This article tries to classify the capacity and development potential of the villages of Malekshahi city based on socio-economic indicators. The research method is the survey and statistical population of households in the villages of Malekshahi city. The sample size is 580 samples determined by Cochran's formula. The sampling method is matched sampling and random selection of samples. The findings showed that the villages of Malekshahi have a much better situation in terms of social indicators such as cohesion, participation, trust, skill and education compared to economic indicators such as employment, access to credits, income and institutional structures. The results showed that in order to implement the empowerment program and provide sustainable livelihood, in addition to benefiting from the local social and human capital, it is necessary to take advantage of removing obstacles to access to financial credits and putting small and surplus funds into the cycle of rural communities.