Efficiency Evaluation of Trawl Fishery in Taiwan ─An Application of Data Envelopment Analysis

碩士 === 國立臺灣大學 === 農業經濟學研究所 === 100 === In this research, the methodology of the efficiency-evaluate model is DEA, including none-economic fish catch mode and overtime working problem. Basing on hyperbolic distance function which disserted by Fare et al. in 1989, each parabola model be presented...

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Bibliographic Details
Main Authors: Tzu-Hsuan Shen, 沈子軒
Other Authors: 雷立芬
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/md49j2
Description
Summary:碩士 === 國立臺灣大學 === 農業經濟學研究所 === 100 === In this research, the methodology of the efficiency-evaluate model is DEA, including none-economic fish catch mode and overtime working problem. Basing on hyperbolic distance function which disserted by Fare et al. in 1989, each parabola model be presented into varied ratio. In order to explore the average efficiency of trawler annually and calculate the loss by undesirable outputs and congestion inputs, I apply 「Statistical Yearbook of Taiwan bottom fish catch」 as the sample of this research, archiving data of fish catch from single trawler and double trawler during 1976 to 1987 in Taiwan. According to the outcome of this dissertation, even though in the heyday (1976~1987), there is still a room to improve the Taiwan trawl fishery. To be more precisely, Taiwan trawl fishery has 14% potential improvement each year with 86,221KG potential output. In the same period, the Taiwan trawlers which did not reach the overall efficiency account for 61%(212 ships)of the total number. Specifically, percentages of the Taiwan trawler which could not reach the technical efficiency, congestion efficiency and scale efficiency are 76%(161 ships)、46%(98 ships)and 70%(149 ships)individually with 35 ships below IRS and 114 ships under DRS. As shown from the data, three main reasons for the low efficiency of fish boat are misallocation of resources, inappropriate scale and congestion. In the end, this research also demonstrates that if government regulate the number of none-economic fish, it may cause 12576kg(2.13%) loss of economic fish.