{"title":"解释农村地区干旱管理模式(以Eslamabad Gharb地区为例)","authors":"B. Shafiee, H. Barghi, Y. Ghanbari","doi":"10.32598/JSRD.4.2.14","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to analyze the status of effective factors on drought management in rural areas, which was done in rural areas of Eslamabad Gharb. The statistical population of the study consists of all households of over 20 households in seven rural districts. Using the Cochran formula, 374 of them (located in 21 villages) have been studied as examples. To analyze the data, the confirmatory factor analysis method was used in SPSS 22 and Smart-Pls software. Finally, in the qualitative paradigm, based on the data-based approach, the open coding results indicated the existence of key terms in the form of 44 concepts, then transformed into four main categories at the axial coding stage. In the last step, namely selective coding, while defining the core category, the final model of the foundation data was presented. The results of this study showed that economic dimension, drought management, with a 17.642 significance economic dimension, shows drought management at a confidence level of 0.95%. The path coefficient between these two is 0.251, which suggests that the economic dimension of 0.251 percent explains directly the drought management. Accordingly, first, government measures should be taken to establish technical, institutional and service infrastructure in the region, and then, based on the capacity of the region, taking into account the prestigious rural population, in line with public participation, as well as the prevention of migration, basic measures should be taken.","PeriodicalId":416445,"journal":{"name":"Journal of Sustainable Rural Development","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Explaining the Drought Management Pattern in Rural Areas (Case Study: Eslamabad Gharb district)\",\"authors\":\"B. Shafiee, H. Barghi, Y. Ghanbari\",\"doi\":\"10.32598/JSRD.4.2.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study was to analyze the status of effective factors on drought management in rural areas, which was done in rural areas of Eslamabad Gharb. The statistical population of the study consists of all households of over 20 households in seven rural districts. Using the Cochran formula, 374 of them (located in 21 villages) have been studied as examples. To analyze the data, the confirmatory factor analysis method was used in SPSS 22 and Smart-Pls software. Finally, in the qualitative paradigm, based on the data-based approach, the open coding results indicated the existence of key terms in the form of 44 concepts, then transformed into four main categories at the axial coding stage. In the last step, namely selective coding, while defining the core category, the final model of the foundation data was presented. The results of this study showed that economic dimension, drought management, with a 17.642 significance economic dimension, shows drought management at a confidence level of 0.95%. The path coefficient between these two is 0.251, which suggests that the economic dimension of 0.251 percent explains directly the drought management. Accordingly, first, government measures should be taken to establish technical, institutional and service infrastructure in the region, and then, based on the capacity of the region, taking into account the prestigious rural population, in line with public participation, as well as the prevention of migration, basic measures should be taken.\",\"PeriodicalId\":416445,\"journal\":{\"name\":\"Journal of Sustainable Rural Development\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sustainable Rural Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32598/JSRD.4.2.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sustainable Rural Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32598/JSRD.4.2.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Explaining the Drought Management Pattern in Rural Areas (Case Study: Eslamabad Gharb district)
The purpose of this study was to analyze the status of effective factors on drought management in rural areas, which was done in rural areas of Eslamabad Gharb. The statistical population of the study consists of all households of over 20 households in seven rural districts. Using the Cochran formula, 374 of them (located in 21 villages) have been studied as examples. To analyze the data, the confirmatory factor analysis method was used in SPSS 22 and Smart-Pls software. Finally, in the qualitative paradigm, based on the data-based approach, the open coding results indicated the existence of key terms in the form of 44 concepts, then transformed into four main categories at the axial coding stage. In the last step, namely selective coding, while defining the core category, the final model of the foundation data was presented. The results of this study showed that economic dimension, drought management, with a 17.642 significance economic dimension, shows drought management at a confidence level of 0.95%. The path coefficient between these two is 0.251, which suggests that the economic dimension of 0.251 percent explains directly the drought management. Accordingly, first, government measures should be taken to establish technical, institutional and service infrastructure in the region, and then, based on the capacity of the region, taking into account the prestigious rural population, in line with public participation, as well as the prevention of migration, basic measures should be taken.