Assessing Technical Efficiency in Commercial Fisheries: The Mid‐Atlantic Sea Scallop Fishery

Kirkley, James E.; Squires, Dale; Strand, Ivar E.

doi:10.2307/1243235

Cited by 149 publications

(92 citation statements)

References 14 publications

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“…on the value of output variables, together with the effects of unspecified input variables in the production function. The stochastic frontier approach is preferred for assessing efficiency in fishing because of the inherent stochasticity involved (Kirkley et al 1995).…”

Section: The Stochastic Frontier Model and Technical Efficiencymentioning

confidence: 99%

Technical efficiency of small-scale fishing households in Tanzanian coastal villages: an empirical analysis

Sesabo¹,

Tol²

2007

African Journal of Aquatic Science

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Section: The Stochastic Frontier Model and Technical Efficiencymentioning

confidence: 99%

Technical efficiency of small-scale fishing households in Tanzanian coastal villages: an empirical analysis

Sesabo¹,

Tol²

2007

African Journal of Aquatic Science

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“…2 December 2017: Stochastic frontier analysis has frequently been applied to the in fisheries sector, both aquaculture and capture fisheries. Early studies on efficiency in the harvesting sector include Kirkley et al (1995Kirkley et al ( , 1998, Coglan et al (1999), Sharma & Leung (1999), Squires & Kirkley (1999), Pascoe et al (2001) and Pascoe & Coglan (2000). The model developed by Battese & Coelli (1995) has been employed by Fousekis & Klonaris (2003) to investigate the technical efficiency of the trammel net fishery in Greece while Ghee-Thean et al (2012) use stochastic frontier analysis to analyze how technology and other determinants have affected the fishing efficiency of a trawl fishery in Malaysia.…”

Section: Introductionmentioning

confidence: 99%

Technical Eficiency of Fish Aggregating Devices Associated With Tuna Fishery in Kendari Fishing Port – Indonesia

Natsir¹,

Widodo²,

Wudianto³

et al. 2018

Indonesian Fisheries Research Journal

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Kendari fishing port is one of the biggest tuna fisheries landing in Indonesia. It yearly average tuna production was more than 20 thousand tons. The tuna fishing fleet in Kendari use FAD (Fish Aggregating Devices) as an auxiliary fishing gear. FAD management is major issues in Indonesian tuna fisheries. extensive investment on FAD has led to increase of the juvenile and by catch and also social problem because of the competition. Technical efficiency analysis was done during this study, 2015 catch and logistic data from Kendari fishing port was run using stochastic frontier to obtain the model. Mean value technical efficiency was 0.534. Purse seine the highest mean value compared to other fishing gear. All the variables input show positive relationship to the catch except the days at sea variables, this is a signal that the increasing number of FAD has made the fisherman spend more time at sea it will decrease the technical efficiency. The results support the need of FAD regulation done by the government of Indonesia. Regulation will keep the number of FAD at optimum level and increase the technical effieciency so the fisheries keep gaining the optimum benefit from the resources.

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“…Since the Data Envelopment Analysis (DEA), which is non-parametric methods, was more appropriate for multispecies catching compared to stochastic frontier, it has been applied when estimating efficiency scores in fisheries all over the world (Kirkley et al, 1995;Kirkley et al, 1998;Paul, 2000;Alvares and Orea, 2001;Pascoe and Coglan, 2002;Pascoe and Herrero, 2004;Coppola et al, 2004;Signorello et al, 2004;Tingley and Pascoe, 2005;Herrero et al, 2006;Esmaeili and Ormani, 2007;Idda et al, 2009;Hoff et al, 2009, Thean et al, 2011Oliveira et al, 2010). Despite the common use of DEA worldwide, no study has been focused on examining fishermen-level productive efficiency measures for commercial fishery by using DEA not only in Black Sea but also in Turkey.…”

Section: Introductionmentioning

confidence: 99%

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Ceyhan¹,

Gene²

2014

Turk. J. Fish. Aquat. Sci.

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Most commercial fisheries have experienced dramatic declines in fish stocks sourced by overcapacity, and thus, there has been a decline in the economic benefits of fishermen, industries, and regions that rely on fisheries for their support in Samsun. Therefore, the study evaluated productive efficiency measures for large scale modern commercial fishermen in Samsun Province, Turkey. Data envelopment analysis (DEA) was used to calculate productive efficiency measures. 55 trawlers and 65 fishermen who prefer to use trawlers together with seine fishing were interviewed in the 2007-2008 production periods. Research results showed that the mean economic efficiency of trawlers and the fishermen preferring to use trawlers together with seine fishing were 0.535 and 0.667, respectively. In Samsun, the primary source of economic inefficiency for trawlers was allocative inefficiency, while that of mixed fishermen was technical inefficiency. Decomposition of the technical efficiency showed that pure technical efficiency was the primary cause of the technical inefficiency for both trawlers and mixed fishermen. Most fishermen in both fishing types exhibited increasing return to scale. Research findings also revealed that basic source of inefficiency was overcapacity problems sourced by market failures and restrictions on season length in the research area. Policy measures aimed at developing training and extension programs, helping fishermen improve their technical information, eliminating inefficiency sourced by overcapacity, sustainable use of the fish stocks, and encouraging fishermen to obtain higher added value from fish and other sea products via processing, packing and storing fish instead of increasing fish production are recommended to increase productive efficiency in the research area. Samsun ili ticari balıkçılığında ekonomik yetersizliğin temel kaynağı trol ile balıkçılık yapanlar için tahsis yetersizliği iken, gırgır ve trolü birlikte kullanarak balıkçılık yapanlar için teknik yetersizliktir. Teknik etkinlik analizi sonuçları, inceleme alanında her iki grup balıkçı için teknik yetersizliğin ana sebebinin saf teknik etkinlik olduğunu göstermiştir. İncelenen balıkçıların büyük bir çoğunluğu ölçeğe artan getiriye sahiptir. Araştırma sonuçları ayrıca inceleme alanındaki ekonomik yetersizliğin bir diğer sebebinin de avlanma sezonunun kısıtlanmasının ve piyasa başarısızlığının yol açtığı aşırı kapasite problemi olduğunu göstermiştir. Balıkçılara yönelik eğitim ve yayım çalışmaları geliştirerek balıkçıların teknik bilgi düzeyinin artırılması, aşırı kapasiteden kaynaklanan yetersizliğin ortadan kaldırılması, balık stoklarının sürdürülebilir kullanımı ve balıkçıların balık ve diğer deniz ürünlerinin katma değerini yükseltmek için işleme, paketleme ve depolama gibi faaliyetlerle özendirilmesi inceleme alanında üretim etkinliğini artırabilecektir.Anahtar Kelimeler: Veri Zarflama Yöntemi, etkinlik ölçümleri, bootstrap metodu, balıkçılık, Samsun, Türkiye.

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Assessing Technical Efficiency in Commercial Fisheries: The Mid‐Atlantic Sea Scallop Fishery

Cited by 149 publications

References 14 publications

Technical efficiency of small-scale fishing households in Tanzanian coastal villages: an empirical analysis

Technical efficiency of small-scale fishing households in Tanzanian coastal villages: an empirical analysis

Technical Eficiency of Fish Aggregating Devices Associated With Tuna Fishery in Kendari Fishing Port – Indonesia

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