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Perceived Risk and Risk Management Strategies in Pond Aquaculture
Marine Resource Economics ( IF 2.9 ) Pub Date : 2021-01-01 , DOI: 10.1086/711066
Md Takibur Rahman , Rasmus Nielsen , Md Akhtaruzzaman Khan , Dewan Ahsan

The growing aquaculture industry is facing several challenges including risks and uncertainties. Studies exploring farmers’ risk perceptions and risk management strategies are, however, limited within pond aquaculture, although they are well described within the field of agriculture. This study explores farmers’ risk perceptions and risk management strategies in pond aquaculture and the relationship of risk perceptions and risk management strategies with farm and farmers’ characteristics. The data are analyzed using principal component analysis and multivariate regression. The results show that price variability and financial risks are perceived as the most influential risk factors. Farm management and financing are perceived as the most effective risk management strategies. In most cases, farmers need to focus on more than one risk management strategy to address a particular type of risk. This study provides knowledge of farmers’ risk perceptions and strategies, which can be used to develop better and more focused management strategies. The authors would like to thank three anonymous reviewers for their suggestions and comments that helped substantially to improve the paper. The authors would also like to thank the Danish International Development Agency (DANIDA) for its financial support for the project “Upgrading Pangas and Tilapia Value Chains in Bangladesh,” project number F38A26778, under which this research was conducted.

中文翻译:

池塘水产养殖中的感知风险和风险管理策略

不断发展的水产养殖业面临着包括风险和不确定性在内的若干挑战。然而,探讨农民风险认知和风险管理策略的研究仅限于池塘水产养殖,尽管它们在农业领域得到了很好的描述。本研究探讨了池塘养殖中养殖者的风险认知和风险管理策略,以及风险认知和风险管理策略与养殖场和养殖者特征的关系。使用主成分分析和多元回归分析数据。结果表明,价格波动和金融风险被认为是最具影响力的风险因素。农场管理和融资被认为是最有效的风险管理策略。在大多数情况下,农民需要关注不止一种风险管理策略来应对特定类型的风险。本研究提供了农民风险认知和策略的知识,可用于制定更好、更有针对性的管理策略。作者要感谢三位匿名审稿人的建议和意见,他们对论文的改进有很大帮助。作者还要感谢丹麦国际开发署 (DANIDA) 对“升级孟加拉国的 Pangas 和罗非鱼价值链”项目的财政支持,项目编号为 F38A26778,本研究是在该项目下进行的。作者要感谢三位匿名审稿人的建议和意见,他们对论文的改进有很大帮助。作者还要感谢丹麦国际开发署 (DANIDA) 对“升级孟加拉国的 Pangas 和罗非鱼价值链”项目的财政支持,项目编号为 F38A26778,本研究是在该项目下进行的。作者要感谢三位匿名审稿人的建议和意见,他们对论文的改进有很大帮助。作者还要感谢丹麦国际开发署 (DANIDA) 对“升级孟加拉国的 Pangas 和罗非鱼价值链”项目的财政支持,项目编号为 F38A26778,本研究是在该项目下进行的。
更新日期:2021-01-01
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