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United States Department of Agriculture

Agricultural Research Service

Research Project: Spatial Modeling of Agricultural Watersheds: Water and Nutrient Management and Targeted Conservation Effects at Field to Watershed Scales

Location: Agricultural Systems Research Unit

Title: Economic risk and efficiency assessment of fisheries in Abu-Dhabi, United Arab Emirates (UAE): A stochastic approach

Authors
item Fathelrahman, Eihab -
item Basarir, Aydin -
item Gheblawi, Mohamed -
item Sherif, Sherin -
item Ascough, James

Submitted to: Sustainability
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: August 21, 2014
Publication Date: N/A

Interpretive Summary: The fishing industry in Abu-Dhabi, United Arab Emirates (UAE) plays an important role in diversifying food sources in order to enhance national food security, and is facing increasing risk that may impact the sustainability of the fish caught and consumed in the UAE. The main objective of this study is to analyze common Abu-Dhabi fishing management alternatives using various stochastic dominance techniques to assess the risk facing UAE fishermen. The techniques represent a risk assessment continuum which can provide a ranking of management alternatives to improve decision making outcomes and help maintain long-term UAE fishing sustainability. Data for the stochastic dominance analyses were obtained from a cross-sectional survey conducted through face-to-face interviews of Abu Dhabi, UAE fishermen. Analysis of fishing methods, trap sizes, and trap numbers using stochastic efficiency with respect to a function (SERF) showed that fishermen efficient practices were not the same for neutral or risk averse fisherman compared to risk avoidance fishermen. Overall, the stochastic dominance results illustrated the importance of considering both attitude towards risk and economic inefficiencies in managing UAE fisheries practices and improving decision making at the fishermen level.

Technical Abstract: The fishing industry in Abu-Dhabi, United Arab Emirates (UAE) plays an important role in diversifying food sources in order to enhance national food security. The fishing industry is facing increasing risk that may impact the sustainability (i.e., quantity and quality) of the fish caught and consumed in the UAE. Therefore, the main objective of this study is to analyze common Abu-Dhabi fishing management alternatives using various stochastic dominance techniques (i.e., first/second degree stochastic dominance, stochastic dominance with respect to a function, and stochastic efficiency with respect to a function) to assess the risk facing UAE fishermen. The techniques represent a risk assessment continuum which can provide a ranking of management alternatives to improve decision making outcomes and help maintain long-term UAE fishing sustainability. Data for the stochastic dominance analyses were obtained from a cross-sectional survey conducted through face-to-face interviews of Abu Dhabi, UAE fishermen. Analysis of fishing methods, trap sizes, and trap numbers using stochastic efficiency with respect to a function (SERF) showed that fishermen efficient practices were not the same for neutral or risk averse fisherman compared to risk avoidance fishermen. Overall, the stochastic dominance results illustrated the importance of considering both attitude towards risk and economic inefficiencies in managing UAE fisheries practices and designing successful fisheries policies, as well as improving decision making at the fishermen level.

Last Modified: 10/1/2014
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