Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan

碩士 === 國立臺灣海洋大學 === 海洋事務與資源管理研究所 === 99 === The number of total coastal and offshore fishing vessels was around 22000. The number and horsepower increased 5.6% and 19% in the recent ten years, respectively. However, the catches decreased around 27%. Among those fisheries, longline vessels was around...

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Main Authors: Jeng-Jung Shiu, 徐鉦忠
Other Authors: Hsiang-Wen Huang
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/13885201768788401945
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spelling ndltd-TW-099NTOU52770052015-10-16T04:03:28Z http://ndltd.ncl.edu.tw/handle/13885201768788401945 Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan 臺灣北部沿近海延繩釣漁業之產能與經營效益評估 Jeng-Jung Shiu 徐鉦忠 碩士 國立臺灣海洋大學 海洋事務與資源管理研究所 99 The number of total coastal and offshore fishing vessels was around 22000. The number and horsepower increased 5.6% and 19% in the recent ten years, respectively. However, the catches decreased around 27%. Among those fisheries, longline vessels was around 45% in number, which Taipei county and Keelung city were 9% of total longline vessels. The object of this research is to study the operational efficiency of those longline fishing vessels and provide management suggestions. The data was collected from July 2009 to January 2010 by questionnaire. The study collected data from 39 longline fishing vessels, which 87% fisherman were full-time fishermen. The average experience was 30 years. The total fishing days was 157 days and the catch per vessels was 12.9. The target species were Priacanthus macracanthus and Dentex tumifrons, were 47% of total catch in weight. Regarding the economic perforence, gross revenue and net revenue were around NT$ 2.9 million and NT$1.5 million. Fuel and crews were the main costs stand for 27% respectively. Bait was 18% among total costs. Financial profit was about NT$676 thousand in average. More fishing vessels between 20 to 50 have loss. Through data envelopment analysis, 79% vessels were decreased return to scale (DRS), average Capacity Utilization were larger than 0.8. Vessels less than 10 Gross tonnages had better efficiency. Fuel and catches were the main factors. In addition, catches in February, November and December were significant different between high efficiency and low efficiency groups. Vessel which working shift from night to day with more catches than at other working times. According to tobit regression, fishing ground and fishing time were the main factor to TE, a positive correlation between CU and captain’s experience. However, for those low efficiency vessels, which the tonnage between 10 to 20 should reduce 7% bait costs in average. Those vessels tonnage between 20 to 50 should reduce 20%fuel and 11% bait costs. In vessel buyback program, government could consider to buyback those fishing vessels which operate loss, DRS, with low TE and high CU ones. Hsiang-Wen Huang 黃向文 2011 學位論文 ; thesis 81 zh-TW
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description 碩士 === 國立臺灣海洋大學 === 海洋事務與資源管理研究所 === 99 === The number of total coastal and offshore fishing vessels was around 22000. The number and horsepower increased 5.6% and 19% in the recent ten years, respectively. However, the catches decreased around 27%. Among those fisheries, longline vessels was around 45% in number, which Taipei county and Keelung city were 9% of total longline vessels. The object of this research is to study the operational efficiency of those longline fishing vessels and provide management suggestions. The data was collected from July 2009 to January 2010 by questionnaire. The study collected data from 39 longline fishing vessels, which 87% fisherman were full-time fishermen. The average experience was 30 years. The total fishing days was 157 days and the catch per vessels was 12.9. The target species were Priacanthus macracanthus and Dentex tumifrons, were 47% of total catch in weight. Regarding the economic perforence, gross revenue and net revenue were around NT$ 2.9 million and NT$1.5 million. Fuel and crews were the main costs stand for 27% respectively. Bait was 18% among total costs. Financial profit was about NT$676 thousand in average. More fishing vessels between 20 to 50 have loss. Through data envelopment analysis, 79% vessels were decreased return to scale (DRS), average Capacity Utilization were larger than 0.8. Vessels less than 10 Gross tonnages had better efficiency. Fuel and catches were the main factors. In addition, catches in February, November and December were significant different between high efficiency and low efficiency groups. Vessel which working shift from night to day with more catches than at other working times. According to tobit regression, fishing ground and fishing time were the main factor to TE, a positive correlation between CU and captain’s experience. However, for those low efficiency vessels, which the tonnage between 10 to 20 should reduce 7% bait costs in average. Those vessels tonnage between 20 to 50 should reduce 20%fuel and 11% bait costs. In vessel buyback program, government could consider to buyback those fishing vessels which operate loss, DRS, with low TE and high CU ones.
author2 Hsiang-Wen Huang
author_facet Hsiang-Wen Huang
Jeng-Jung Shiu
徐鉦忠
author Jeng-Jung Shiu
徐鉦忠
spellingShingle Jeng-Jung Shiu
徐鉦忠
Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan
author_sort Jeng-Jung Shiu
title Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan
title_short Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan
title_full Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan
title_fullStr Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan
title_full_unstemmed Capacity and Economic Efficiency of Coastal and Offshore Longline Fisheries of Northern Taiwan
title_sort capacity and economic efficiency of coastal and offshore longline fisheries of northern taiwan
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/13885201768788401945
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