Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/32216
DC FieldValueLanguage
dc.contributor.advisor李文福zh_TW
dc.contributor.author廖國翔zh_TW
dc.creator廖國翔zh_TW
dc.date2003en_US
dc.date.accessioned2009-09-14T05:25:46Z-
dc.date.available2009-09-14T05:25:46Z-
dc.date.issued2009-09-14T05:25:46Z-
dc.identifierG0091258022en_US
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/32216-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description經濟研究所zh_TW
dc.description91258022zh_TW
dc.description92zh_TW
dc.description.abstract近年來台灣筆記型電腦產業,在廠商延續過去多年的擴張競爭力下,在產值與產量上皆有大幅度的成長。但也由於低價風潮的盛行與全球景氣蕭條,使得該產業的獲利大不如從前;加重了國內廠商經營的困境與競爭程度,此時惟有掌握經營績效之廠商才可維持競爭優勢;以因應高度的競爭環境。在此同時,南韓已從金融風暴的創傷下逐漸走出;並挾帶著全球最大TFT-LCD及DRAM的量產國,並從輕薄型機種切入市場以及加入代工訂單的爭奪戰中。而日本擁有全球頂尖的設計創新能力,筆記型電腦自製率仍偏高。因此日、韓一直是台灣的主要競爭對手。\r\n 首先藉由資料包絡分析法評估我國筆記型電腦商於2000年至2003年間的經營效率;並為彌補DEA無法做跨時期的分析,應用Malmquist生產力指數予以分析;接著用Tobit迴歸分析來探討廠商無效率的原因。得到以下的結論:\r\n(1)於這4年間的技術效率平均值呈現年年上揚的情況,且規模較大的廠商不意謂著經營績效會較好。(2)這4年間的生產力亦是逐年提昇,主要是技術變動所致。(3)在Tobit迴歸分析中,存貨週轉率、總資產週轉率與品牌對效率有正向影響;而TCRI有負向影響。\r\n 接著對台、日、韓進行比較分析,得到以下結論:(1)台、日、韓三國的經營績效,以日本最優、韓其次、台最差;但日、韓的整體效率值逐年下滑,而台灣有逐漸改善的趨勢。(2)三國於2000~2001年間生產力皆下降,這與全球景氣蕭條及九一一事件有相當的關聯;2001~2002間由於無線上網的新技術致使消費性機種熱賣,因此於該期間,生產力呈提昇現象。(3)由Tobit迴歸分析得知存貨週轉率、總資產週轉率與經營年限對效率值有正向影響。zh_TW
dc.description.abstractIn the recent years, Taiwanese Notebook manufacturers last the past years, extensions to make productive values and production grow up enormously. Due to the low price trend and global business trend stagnancy, resulting to profitability be not as good as the before for this industry. It deepens to operate and complete hard for the domestic manufacturers. At the same time, only the manufacturers that seizing operating the performance will maintain completing advantage to deal with highly completing enviornment. At the same time, South Korea has already got over from the shadow of 1998 crisis; and took along the most global productive country of TFT-LCD and DRAM; going into the market of frivolous type and join a battle of OEM/ODM orders. Japan owns global excellent design and capability of innovation and self-made ratio is still high. Therefore, Japan and South Korea are constantly Taiwanese major rivals.\r\n\r\n Firstly, it estimates how Taiwan Note Book manufacturers operate in 2000 to 2003 by Data Envelopment Analysis;In order to making up DEA not undertaking time-series analysis, using Malmquist Productivity Index to analyze; utilizing Tobit regression to analyze the factors that producers operate inefficiently. It gets the following conclusions:(1) In these four years, average technical efficiency is taken on rising year by year, and large scale producers do not imply better operating efficiency. (2) In these four years, the productivity is also rised year by year. This is due to technical change. (3) In Tobit regression analysis, there is a positive influence that inventory turnover, total asset turnover and brand affect efficiency; there is a negative influence that TCRI affects efficiency.\r\n\r\n This study gets the following conclusions;(1) For Taiwanese, Japanese and South Korea’ operating performance, Japan is the excellent, South Korea is the next, Taiwan is the worst. But Japanese and South Korea’ overall efficiency is worse year by year; Taiwan operating performance is gradually improved. (2) These three countries’ productivity decline from 2000 to 2001. It is concerned with global economic recession and 911 incident. The productivity is raised from 2001 to 2002. It results from WLAN type to sell briskly. Turnover ratio of inventory and turnover ratio of total asset tighter operating years all have a positive influence on efficiency.en_US
dc.description.tableofcontents第一章 緒論\r\n1.1 研究背景與動機………………………………………………1\r\n1.2 研究目的………………………………………………………2\r\n1.3 研究範圍………………………………………………………2\r\n1.4 研究架構………………………………………………………3\r\n第二章 筆記型電腦產業現況\r\n2.1 筆記型電腦簡介………………………………………………5\r\n2.2 全球筆記型電腦產業…………………………………………7\r\n2.3 我國筆記型電腦產業之概況…………………………………8\r\n2.4 日本筆記型電腦產業概況 …………………………………11\r\n2.5 南韓筆記型電腦產業概況 …………………………………11\r\n2.6 筆記型電腦未來發展趨勢 ………………………………12\r\n第三章 效率理論與生產力相關方法與相關文獻\r\n3.1 效率的定義 ………………………………………………14\r\n3.2 資料包絡分析法之基本理論…………………………………17\r\n3.3 資料包絡分析法之基本模式…………………………………18\r\n3.4 Malmquist總要素生產力指數………………………………..24\r\n3.5 資料包絡分析法的特性與限制………………………………27\r\n3.6 高科技業績效分析之相關文獻………………………………28\r\n第四章 實證結果與分析\r\n4.1 投入產出變數選取……………………………………………31\r\n4.2 國內個別廠商之經營績效分析………………………………35\r\n4.3 國內廠商跨時生產力分析……………………………………38\r\n4.4 國內廠商效率Tobit迴歸模型分析…………………………..39\r\n4.5 台灣、日本與南韓之跨國分析………………………………42\r\n第五章 結論與建議\r\n5.1 結論……………………………………………………………52\r\n5.2 建議……………………………………………………………53\r\n參考文獻 ………………………………………………………………55\r\n 附表………………………………………………………………………58\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n表 目 錄\r\n\r\n表2.1:台灣筆記型電腦出貨量與市場佔有率…………………………………9\r\n表2.2:台灣主要筆記型電腦商與其代工客戶…………………………………10\r\n表2.3:筆記型電腦未來發展趨勢…………………………………………… 13\r\n表4.1(a):2000年台灣筆記型電腦業投入產出之敘述統計………………………33\r\n表4.1(b):2001年台灣筆記型電腦業投入產出之敘述統計………………………33\r\n表4.1(c):2002年台灣筆記型電腦業投入產出之敘述統計………………………33\r\n表4.1(d):2002年台灣筆記型電腦業投入產出之敘述統計………………………34\r\n表4.2:Pearson相關係數…………………………………………………… 34\r\n表4.3:2000年至2003年國內研究樣本數與平均績效…………………………36\r\n表4.4(a):我國筆記型電腦產業2000~2003年總差額變數分析(CCR)…………… 37\r\n表4.4(b):我國筆記型電腦產業2000~2003年總差額變數分析(BCC)……………37\r\n表4.5:我國筆記型電腦產業2000~2003年生產力平均變動分析表………………38\r\n表4.6:我國筆記型電腦業Tobit迴歸分析結果…………………………………41\r\n表4.7(a):2000年台、日、韓三國產業投入產出之敘述統計……………………43\r\n表4.7(b):2000年台、日、韓三國產業投入產出之敘述統計……………………44\r\n表4.7(c):2000年台、日、韓三國產業投入產出之敘述統計……………………45\r\n表4.8:台、日、韓三國2000年至2002年平均績效………………………………46\r\n表4.9(a):台、日、韓三國2000年至2002年總差額變數分析(CCR)………………48\r\n表4.9(b):台、日、韓三國2000年至2002年總差額變數分析(BCC)………………49\r\n表4.10:台、日、韓三國2000年至2002年生產力平均變動分析表………………50\r\n表4.11:台、日、韓三國Tobit迴歸分析之結果………………………………… 51\r\n\r\n圖 目 錄\r\n\r\n圖1.1:研究流程圖……………………………………………………………4\r\n圖2.1:全球筆記型電腦與桌上型電腦市場規模圖………………………………7\r\n圖2.2:產值與平均單價………………………………………………………8\r\n圖3.1:效率前緣示意圖………………………………………………………17\r\n圖3.2:技術效率與配置效率…………………………………………………19\r\n圖3.3:總技術效率、純粹技術效率、規模效率示意圖……………………………24\r\n圖3.4:Malmquist生產力指數…………………………………………………27zh_TW
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0091258022en_US
dc.subject資料包絡分析法zh_TW
dc.subjectMalmquist生產力指數zh_TW
dc.subjectTobit迴歸分析zh_TW
dc.subjectData Envelopment Analysisen_US
dc.subjectMalmquist Productivity Indexen_US
dc.subjectTobit regressionen_US
dc.title台灣、日本、南韓筆記型電腦產業績效分析與比較zh_TW
dc.typethesisen
dc.relation.reference中文部分zh_TW
dc.relation.reference邱靜怡 (2003),「筆記型電腦產業回顧與展望」,寶晟科技研究報告。zh_TW
dc.relation.reference周士雄 (2000,2001,2002,2003),「我國筆記型電腦產業產銷分析」,資策會資訊市場情報中心。zh_TW
dc.relation.reference翁興利、李豔玲、潘婉如 (1996),「相對效率之衡量:DEA之運用」,中國行政評論,第五卷,頁63-106。zh_TW
dc.relation.reference陳鼎誠 (2001),「主機板產業經營績效之分析-資料包絡分析法之應用」,東吳大學經濟研究所碩士論文。zh_TW
dc.relation.reference馮秀鳳 (2002),「半導體產業經營效率之研究-資料包絡分析法之應用」,中原大學會計研究所碩士論文。zh_TW
dc.relation.reference張力友 (2001),「台灣電子業績效評比-灰關聯分析與資料包絡法之應用與比較」,銘傳大學金融研究所碩士論文。zh_TW
dc.relation.reference游聲裕 (1999),「我國電腦及週邊產業企業經營績效剖析」,成功大學企業管理所碩士論文。zh_TW
dc.relation.reference英文部分zh_TW
dc.relation.referenceAfriat, S.N. (1972),“Efficiency Estimation of Production Functions,”International Economic Review, 13, 568-598.zh_TW
dc.relation.referenceBanker, R.D., A. Charnes and W.W. Cooper (1984),“Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, 30, 1078-1092.zh_TW
dc.relation.referenceBoles, J.N. (1966),“Efficiency Squared-Efficiency Computation of Efficiency Indexes,”Proceedings of the 39th Annual Meeting of the Western Farm Economic Association, 137-142.zh_TW
dc.relation.referenceByrnes, P., R. Färe, and S. Grosskopf, (1984),“Measuring Producture Efficiency:An Application to Illinois Strip Mines, ”Management Science, 30, 671-681.zh_TW
dc.relation.referenceCharnes, A., W.W. Cooper (1985),“Preface to Topics in Data Envelopment Analysis,”Annuals of Operations Research, 2, 59-94.zh_TW
dc.relation.referenceCharnes, A., W.W. Cooper and E. Rhodes (1978),“Measuring the Efficiency of Decision Making Units,”European Journal of Operational Research, 2, 429-444.zh_TW
dc.relation.referenceCoelli, T.J., D.S. Rao and G.E. Battese (1998), An Introduction to Efficiency and Productivity Analysis, The Netherlands, Kluwer Academic Publishers.zh_TW
dc.relation.referenceFäre, R. (1988), Fundamentals of Production Theory, Springer-Verlag, New York.zh_TW
dc.relation.referenceFäre, R., S. Grosskopf, M. Norris and Z. Zhang (1994), “Productivity Growth, Technical Progress, and Efficiency Changes in Industrialised Countries,”American Economic Review, 84, 66-83.zh_TW
dc.relation.referenceFarrell, M.J. (1957),“The Measurement of Productive Efficiency,”Journal of the Royal Statistical Society, Series A, CXX, Part3, 253-290.zh_TW
dc.relation.referenceFried, H.O., C.A.K. Lovell and S.S. Schmidt (1993), The Measurement of Productive Efficiency:Technique and Applications, New York:Oxford University Presszh_TW
dc.relation.referenceGrifell-Tatje, E. and C.A.K. Lovell (1995),“A Note on the Malmquist Productivity Index,”Economic Letters, 47, 169-175.zh_TW
dc.relation.referenceShephard, R. W. (1970), Theory of Cost and Production Functions, Princeton, N. J.: Princeton University Press.zh_TW
dc.relation.referenceThore, S. G. Kozmetsky and F. Phillips (1994),“DEA of Financial Statements Data:the U. S. Computer Industry,”Journal of Productivity Analysis, 5, 229-248.zh_TW
dc.relation.referenceThore,S. F. Phillips, T.W. Ruefli and P. Yue (1996),“DEA and the Management of the Product Cycle:the U. S. Computer,”Computers and Operations Research, 23, 341-356.zh_TW
dc.relation.referenceSeiford, L.M., and R.M. Thrall (1990),“Recent Development in DEA:The Mathematical Programming Approach to Frontier Analysis,”Journal of Economics, 46, 7-38.zh_TW
item.languageiso639-1en_US-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.grantfulltextopen-
item.openairetypethesis-
Appears in Collections:學位論文
Files in This Item:
File SizeFormat
index.html115 BHTML2View/Open
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.