An analysis of fishing capacity in the western and central Pacific Ocean tuna fishery and management implications

Reid, C.; Squires, Dale; Jeon, Yongil; Rodwell, Len; Clarke, Raymond P.

doi:10.1016/s0308-597x(03)00065-4

Cited by 41 publications

(27 citation statements)

References 16 publications

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“…This interest is twofold: to establish the underlying factors (e.g., [13,14]), and to assess the effects of several socioeconomic variables. In the fisheries economics literature, output-oriented technical efficiency is usually applied, as the main aim is the estimation of capacity utilization, a concept which is basically output-oriented (e.g., [11,13,15,16]). This study, on the other hand, focuses on input-oriented technical efficiency (TE) and scale efficiency (SE).…”

Section: Methodsmentioning

confidence: 99%

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Assessing the Efficiency of Small-Scale and Bottom Trawler Vessels in Greece

Pinello

Liontakis²,

Sintori³

et al. 2016

Sustainability

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This study explores the technical and scale efficiency of two types of Greek fishing vessels, small-scale vessels and bottom trawlers, using a bias-corrected input-oriented Data Envelopment Analysis model. Moreover, the associations between efficiency scores and vessel's and skipper's characteristics are also explored. The results indicate that small-scale vessels achieve a very low average technical efficiency score (0.42) but a much higher scale efficiency score (0.81). Conversely, bottom trawlers achieve lower scale but higher technical efficiency scores (0.68 and 0.73, respectively). One important finding of this study is that the technical efficiency of small-scale vessels, in contrast to trawlers, is positively associated with the experience of the skipper. In a looser context, it can be said that small-scale fisheries mainly rely on skill, whereas bottom trawlers rely more on technology. This study concludes that there is space for improvement in efficiency, mainly for small-scale vessels, which could allow the achievement of the same level of output by using reduced inputs.

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Section: Methodsmentioning

confidence: 99%

“…Additionally, the study associates efficiency with specific segment characteristics. Following similar studies (e.g., [6,11]), we consider efficiency using a nonparametric analysis and more specifically, a Data Envelopment Analysis model (DEA). Both the concepts of technical and scale efficiency were considered.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Efficiency of Small-Scale and Bottom Trawler Vessels in Greece

Pinello

Liontakis²,

Sintori³

et al. 2016

Sustainability

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“…Hasil penelitian tersebut menunjukkan bahwa efisiensi teknis tertinggi disebabkan karena memiliki kapal yang lebih cocok, terutama karena mempunyai akses ke lokasi (fishing ground) lebih dalam di Laut Oman dan Samudra Hindia untuk ikan spesies pelagis besar. Kenaikan volume pengalengan tuna yang tertangkap di Samodera Pasific telah menyebabkan kekhawatiran tentang peningkatan kapasitas penangkapan (Reid et al 2003). Hasil penelitian Reid et al (2003) dengan armada purse seine di WCPO menyatakan bahwa telah terjadi kelebihan kapasitas penangkapan dan kapasitas alat tangkap.…”

Section: Efisiensi Dan Produktifitas Faktor Produksi Totalunclassified

“…Kenaikan volume pengalengan tuna yang tertangkap di Samodera Pasific telah menyebabkan kekhawatiran tentang peningkatan kapasitas penangkapan (Reid et al 2003). Hasil penelitian Reid et al (2003) dengan armada purse seine di WCPO menyatakan bahwa telah terjadi kelebihan kapasitas penangkapan dan kapasitas alat tangkap. Hasil kajian tersebut digunakan sebagai instrumen dalam membatasi jumlah hari operasional penangkapan.…”

Section: Efisiensi Dan Produktifitas Faktor Produksi Totalunclassified

EFISIENSI, PRODUKTIVITAS DAN INDEKS KETIDAKSTABILAN PERIKANAN TUNA LONGLINE DAN PANCING TONDA (Efficieny, Productivity and Instability Index of Tuna Longline and Troll Line)

Wardono¹

2016

Jurnal Marfis

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Tuna longline and troll line are two dominant tuna fishing fleets in Keywords: DEA, efficiency, Malmquist index, productivity, troll line, tuna longline, VRS ABSTRAKArmada perikanan tuna longline dan pancing tonda merupakan armada yang dominan menangkap ikan tuna di Pelabuhan Perikanan Nusantara (PPN) Palabuhanratu.Total produksi dari keduanya sebanyak 7.066,64 ton (89,12%) dari total produksi ikan di Palabuhanratu. Permasalahan utama industri tuna adalah terkait sumber daya dan kapasitas penangkapan tuna. Tujuan penelitian ini untuk mengetahui tingkat efisiensi, perubahan total faktor produktivitas dan indeks ketidakstabilan usaha perikanan tuna dengan menggunakan tuna longline dan pancing tonda di Palabuhanratu dengan pendekatan Data Envelopment Analysis (DEA) dan Indeks Ketidakstabilan (Coppoct Instability Index). Penelitian dilakukan dikawasan PPN Palabuhanratu, Kabupaten Sukabumi, pada bulan Januari -Maret 2014. Data yang digunakan adalah data time series yang dikeluarkan oleh PPN Palabuhanratu dari tahun 2010-2013. Data yang digunakan dalam analisis ini meliputi produksi dari armada tuna long line dan pancing tonda. Adapun input yang digunakan adalah kapal (longline dan pancing tonda), BBM, umpan, nelayan, es, trip, oli, air, alat tangkap. Hasil analisis dengan asumsi variable return to scale (VRS), kapasitas usaha perikanan tuna di Palabuhanratu, pada armada tuna longline dan pancing tonda sudah efisien.

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“…1 Currently, there are two primary methods used to estimate fishery production technologies: data envelope analysis (DEA) [21,19,30] and stochastic production frontier (SPF) models [31,10,39,15,22]. DEA does not assume a parametric form for the production technology and is therefore a more general and flexible model.…”

Section: Introductionmentioning

confidence: 99%

Estimating heterogeneous capacity and capacity utilization in a multi-species fishery

2009

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We use a stochastic production frontier model to investigate the presence of heterogeneous production and its impact on fleet capacity and capacity utilization in a multi-species fishery. Furthermore, we propose a new fleet capacity estimate that incorporates complete information on the stochastic differences between each vessel-specific technical efficiency distribution.Results indicate that ignoring heterogeneity in production technologies within a multi-species fishery, as well as the complete distribution of a vessel's technical efficiency score, may yield erroneous fleet-wide production profiles and estimates of capacity. Furthermore, our new estimate of capacity enables out-of-sample production predictions predicated on either homogeneity or heterogeneity modeling which may be utilized to facilitate policy.

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An analysis of fishing capacity in the western and central Pacific Ocean tuna fishery and management implications

Cited by 41 publications

References 16 publications

Assessing the Efficiency of Small-Scale and Bottom Trawler Vessels in Greece

Assessing the Efficiency of Small-Scale and Bottom Trawler Vessels in Greece

EFISIENSI, PRODUKTIVITAS DAN INDEKS KETIDAKSTABILAN PERIKANAN TUNA LONGLINE DAN PANCING TONDA (Efficieny, Productivity and Instability Index of Tuna Longline and Troll Line)

Estimating heterogeneous capacity and capacity utilization in a multi-species fishery

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