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標題: | 雲林縣文蛤養殖生產技術效率分析 Technical Efficiency Analysis of Hard Clam Production in Yunlin County |
作者: | Shing-Yu Huang 黃欣瑜 |
指導教授: | 孫立群(Lih-Chyun Sun) |
關鍵字: | 文蛤,文蛤養殖,生產技術效率,資料包絡法,Tobit迴歸分析, Hard Clam,Clam Cultivation,Production Technology Efficiency,Data Envelope Analysis (DEA),Tobit Regression, |
出版年 : | 2013 |
學位: | 碩士 |
摘要: | 文蛤向來為臺灣主要養殖貝類之一,其產量更是為養殖貝類之首。全臺有四個主要養殖縣市;分別為彰化縣、雲林縣、嘉義縣以及台南市,其中標榜農業首都雲林縣為最大宗,全臺有將近70%的文蛤來自這,其養殖面積為全國之冠,近年來其產值更高達30幾億,也使得雲林縣享有「文蛤王國」的美名。然而在郭仁杰(2005)臺灣地區文蛤養殖生產技術效率分析當中,指出2000~2003年期間,文蛤生產技術分析研究中,以彰化縣的養殖技術居高,其次為嘉義縣而雲林縣卻居後。因此本研究主要選擇雲林縣,分析其文蛤養殖生產技術效率以及影響效率之原因。
首先,運用資料包絡分析法(Data Envelope Analysis,以下簡稱DEA)進行雲林縣文蛤養殖生產技術效率分析;接下來運用Tobit迴歸分析,探討影響生產技術效率之外在因素。研究結果顯示:一、在61戶文蛤養殖戶當中,57.38%文蛤養殖戶屬於規模報酬遞增,故可增加其投資規模¬;二、文蛤養殖主要經營成本,人事成本支出佔27%、土地租金23%、文蛤苗費19%、飼料費為17%、整池費6%、水電費6%及維修費2%等;三、雲林縣文蛤養殖生產技術效平均為0.709,有78.69%為無效率養殖戶;四、當養殖面積介於2~3公頃、放養密度為130~140萬粒/公頃、且魚塭池齡在20年以下時,其生產技術效率可達到最佳,建議經營者可維持這樣的生產環境。 Tobit迴歸分析顯示「魚塭規模」、「放養密度」等有顯著的正相關影響;「魚池的池齡」則有顯著的負相關影響;而其餘「年紀」、「學歷」、「養殖經驗」則無明顯相關。 關鍵詞: 文蛤、文蛤養殖、生產技術效率、資料包絡法、Tobit迴歸分析 Hard clam has been one of the principal culture shellfishes in Taiwan all along and its yield is No.1 among culture shellfishes. There are 4 main cultivation counties/city in Taiwan, respectively Changhua County, Yunlin County (No.1 in yield and cultivation area), Chiayi County and Tainan City. About 70% of hard clams come from Yunlin County marked as an agriculture capital. It is called a “hard clam kingdom” because its output value has been more than 3 billion in recent years. As for the clam cultivation and production technology efficiency, Guo(2005) indicates in the analysis that Changhua County comes out top and Chiayi County ranks the second, but Yunlin County is far behind from 2000 till 2003. Yunlin County is selected to analyze the clam cultivation and production technology efficiency and influencers in the study. To begin with, analyzed is the clam cultivation and production technology efficiency in Yunlin County with data envelope analysis (DEA); then, explored are the extrinsic factors influencing the production technology efficiency with the Tobit regression. The research results are as follows. (1) 57.38% of 61 hard clam farmers have increasing returns to scale. (2) The major operation cost of hard clam cultivation includes personnel expenditure (27%), rent of soil (23%), seedling expense (19%), feed expense (17%), pond arrangement expense (6%), water and electricity expense (6%) and cost of repairs (2%). (3) The average of the clam cultivation and production technology efficiency is 0.709 and 78.69% of farmers are inefficient. (4) When the cultivation area is 2-3 hectares with the stocking density 1.3-1.4 m/ha and the fish farm is below 20 years old, the production technology efficiency is the best, so it is suggested that the operators maintain such production environment. The Tobit regression shows that 'scale of fish farm' and 'stocking density' have significant positive influence, 'age of fishpond' has the significant negative influence and 'age', 'level of education' and 'cultivation experience' have no significant correlation. Keyword: Hard Clam, Clam Cultivation, Production Technology Efficiency, Data Envelope Analysis (DEA), Tobit Regression |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6265 |
全文授權: | 同意授權(全球公開) |
顯示於系所單位: | 農業經濟學系 |
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