Moslem Savari , Hamed Eskandari Damaneh , Hadi Eskandari Damaneh
{"title":"在伊朗农业部门采用降低风险战略管理干旱影响","authors":"Moslem Savari , Hamed Eskandari Damaneh , Hadi Eskandari Damaneh","doi":"10.1016/j.crm.2024.100619","DOIUrl":null,"url":null,"abstract":"<div><p>Drought is one of the most significant and complex climate risks, with profound effects on reducing agricultural production and exacerbating poverty and food insecurity worldwide in the absence of effective mitigation measures. Climate assessments indicate that drought will affect the majority of world regions in the future, with agricultural-dependent communities bearing the brunt of its impacts. Therefore, managing measures to mitigate the effects of drought is crucial in this regard. This research aims to (1) examine the adoption status of adaptation strategies and (2) identify the influential factors affecting the adoption of drought mitigation measures in Iran. The study population consisted of all rural agricultural households in Kerman Province (southeastern Iran). In order to accurately select the studied samples, calculation of drought severity was done based on the Standardized Precipitation Index (SPI). In this research, an extended version of the Technology Acceptance Model (TAM), incorporating new variables including trust, self-efficacy, social influence, facilitating conditions, perceived risk, resistance to use, and performance expectancy, was utilized as the theoretical framework. Data analysis was conducted using Structural Equation Modeling (SEM). The results revealed that all adaptation strategies of farmers under drought conditions were categorized into five classes: Social activities (SA), Physical infrastructure management (PIM), Financial management (FIM), Farm management (FM), Irrigation and water management (IWM), and Crop management (CM). Furthermore, SEM results indicated that all hypothesized relationships in this context were significant, and the research variables explained 58% of the variance in the adoption of adaptive behaviors. Lastly, considering that trust had the most significant effect on the adoption of adaptation measures, policymakers in this field are recommended to increase farmers’ trust in these strategies by conducting thorough needs assessments and identifying the most effective strategies. Moreover, organizing appropriate workshops and training courses can enhance farmers’ awareness and understanding of adaptation measures for mitigating the impacts of drought.</p></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"45 ","pages":"Article 100619"},"PeriodicalIF":4.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212096324000366/pdfft?md5=30a771d81383b63fe9f9f384817a4059&pid=1-s2.0-S2212096324000366-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Managing the effects of drought through the use of risk reduction strategy in the agricultural sector of Iran\",\"authors\":\"Moslem Savari , Hamed Eskandari Damaneh , Hadi Eskandari Damaneh\",\"doi\":\"10.1016/j.crm.2024.100619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Drought is one of the most significant and complex climate risks, with profound effects on reducing agricultural production and exacerbating poverty and food insecurity worldwide in the absence of effective mitigation measures. Climate assessments indicate that drought will affect the majority of world regions in the future, with agricultural-dependent communities bearing the brunt of its impacts. Therefore, managing measures to mitigate the effects of drought is crucial in this regard. This research aims to (1) examine the adoption status of adaptation strategies and (2) identify the influential factors affecting the adoption of drought mitigation measures in Iran. The study population consisted of all rural agricultural households in Kerman Province (southeastern Iran). In order to accurately select the studied samples, calculation of drought severity was done based on the Standardized Precipitation Index (SPI). In this research, an extended version of the Technology Acceptance Model (TAM), incorporating new variables including trust, self-efficacy, social influence, facilitating conditions, perceived risk, resistance to use, and performance expectancy, was utilized as the theoretical framework. Data analysis was conducted using Structural Equation Modeling (SEM). The results revealed that all adaptation strategies of farmers under drought conditions were categorized into five classes: Social activities (SA), Physical infrastructure management (PIM), Financial management (FIM), Farm management (FM), Irrigation and water management (IWM), and Crop management (CM). Furthermore, SEM results indicated that all hypothesized relationships in this context were significant, and the research variables explained 58% of the variance in the adoption of adaptive behaviors. Lastly, considering that trust had the most significant effect on the adoption of adaptation measures, policymakers in this field are recommended to increase farmers’ trust in these strategies by conducting thorough needs assessments and identifying the most effective strategies. Moreover, organizing appropriate workshops and training courses can enhance farmers’ awareness and understanding of adaptation measures for mitigating the impacts of drought.</p></div>\",\"PeriodicalId\":54226,\"journal\":{\"name\":\"Climate Risk Management\",\"volume\":\"45 \",\"pages\":\"Article 100619\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2212096324000366/pdfft?md5=30a771d81383b63fe9f9f384817a4059&pid=1-s2.0-S2212096324000366-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Climate Risk Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212096324000366\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate Risk Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212096324000366","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Managing the effects of drought through the use of risk reduction strategy in the agricultural sector of Iran
Drought is one of the most significant and complex climate risks, with profound effects on reducing agricultural production and exacerbating poverty and food insecurity worldwide in the absence of effective mitigation measures. Climate assessments indicate that drought will affect the majority of world regions in the future, with agricultural-dependent communities bearing the brunt of its impacts. Therefore, managing measures to mitigate the effects of drought is crucial in this regard. This research aims to (1) examine the adoption status of adaptation strategies and (2) identify the influential factors affecting the adoption of drought mitigation measures in Iran. The study population consisted of all rural agricultural households in Kerman Province (southeastern Iran). In order to accurately select the studied samples, calculation of drought severity was done based on the Standardized Precipitation Index (SPI). In this research, an extended version of the Technology Acceptance Model (TAM), incorporating new variables including trust, self-efficacy, social influence, facilitating conditions, perceived risk, resistance to use, and performance expectancy, was utilized as the theoretical framework. Data analysis was conducted using Structural Equation Modeling (SEM). The results revealed that all adaptation strategies of farmers under drought conditions were categorized into five classes: Social activities (SA), Physical infrastructure management (PIM), Financial management (FIM), Farm management (FM), Irrigation and water management (IWM), and Crop management (CM). Furthermore, SEM results indicated that all hypothesized relationships in this context were significant, and the research variables explained 58% of the variance in the adoption of adaptive behaviors. Lastly, considering that trust had the most significant effect on the adoption of adaptation measures, policymakers in this field are recommended to increase farmers’ trust in these strategies by conducting thorough needs assessments and identifying the most effective strategies. Moreover, organizing appropriate workshops and training courses can enhance farmers’ awareness and understanding of adaptation measures for mitigating the impacts of drought.
期刊介绍:
Climate Risk Management publishes original scientific contributions, state-of-the-art reviews and reports of practical experience on the use of knowledge and information regarding the consequences of climate variability and climate change in decision and policy making on climate change responses from the near- to long-term.
The concept of climate risk management refers to activities and methods that are used by individuals, organizations, and institutions to facilitate climate-resilient decision-making. Its objective is to promote sustainable development by maximizing the beneficial impacts of climate change responses and minimizing negative impacts across the full spectrum of geographies and sectors that are potentially affected by the changing climate.