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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 森林環境暨資源學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61923
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor鄭欽龍
dc.contributor.authorShu-Hua Hsuen
dc.contributor.author許書華zh_TW
dc.date.accessioned2021-06-16T13:18:55Z-
dc.date.available2023-07-04
dc.date.copyright2013-07-31
dc.date.issued2013
dc.date.submitted2013-07-26
dc.identifier.citation行政院農業委員會林務局 (2008),《林業統計年報中華民國96年》,台北:行政院
農業委員會林務局。
吳宜燕 (2007), “制度變革對我國地方法院效率影響之研究”,國立臺北大學會計
學系碩士論文。
邱瓊慧 (2003), “臺灣林務機關管理經營績效與策略評估之研究”,國立海洋大學
河海工程學系在職專班碩士論文。
林清池 (1996),《太平山開發史》,宜蘭:浮崙小築文化事業有限公司。
林健治 (1993), “資料包絡分析法與其權數之探討—以臺灣森林業經營之效率評
估為例”,國立交通大學管理科學研究所碩士論文。
姚鶴年 (2001),《台灣森林史料圖文彙編》,台北:行政院農業委員會暨中華林學
會。
姚鶴年 (2006),《臺灣的林業》,台北:遠足文化事業股份有限公司。
孫遜 (2004),《資料包絡分析—理論與應用》,台北:揚智文化。
黃旭男 (1993), “資料包絡分析法使用程序之研究及在非營利組織效率評估上之
應用”,國立交通大學管理科學研究所碩士論文。
傅旼 (1986),“非營利組織之效率評估”,國立成功大學工商管理研究所碩士論
文。
賴作卿與張忠海 (2008), “基於DEA方法的廣東林業投入產出效率分析”,《林業
經濟問題》, (4):44-47。
蕭基淵 (1989), “以DEA方法探討台灣林業效率之衡量”,國立交通大學管理科
學研究所碩士論文。
Abbott, M. and Doucouliagos, C. (2003), The Efficiency of Australian Universities: A
Data Envelopment Analysis, Economics of Education Review, 22: 89-97.
Avkiran, N.K. (2001), Investigating technical and scale efficiencies of Australian
Universities through data envelopment analysis, Socio-Economic Planning Sciences, 35(1):57-80.
Banker, R.D., Charnes, A., and Cooper, W.W. (1984), Some models for estimating
technical and scale inefficiencies in data envelopment analysis, Management Science, 30(9):1078-1092.
Binam, J. N., Sylla, K., Diarra, I. , and Nyambi, G. (2003), Factors affecting technical
efficiency among coffee farmers in coted’ ivoire: evidence from the centre west region, African Development Review, 15(1), 66-76.
Boussofiane, A., Dyson, R.G., and Thanassoulis, E. (1991), Applied data
envelopment analysis, European Journal of Operational Research, 52:1-15.
Charnes, A., Cooper, W.W., and Rhodes, E. (1978), Measuring the efficiency of
decision making units, European Journal of Operational Research, 2:429-444.
Chiang, K. and Yong Chi, Y. (1992), Measuring the efficiency of forest management.
Forest Science, 37(5):1239-1252.
Clinch, J.P. (2000), Assessing the social efficiency of temperate-zone
commercial forestry programmes: Ireland as a case study, Forest Policy and Economics, 17(7):225-241.
Coelli, T.J. (1996), A guide to DEAP version 2.1: a data envelopment analysis
(computer) program, CEPA Working Paper 96/8, Department of Econometrics, University of New England, Armidale NSW Australia.
Coelli, T.J., Prasada Rao, D.S., and Battese, G.E. (2005), An introduction to
efficiency and productivity analysis second edition, Boston: Kluwer Academic Publishers.
Diaz-Balteiro, L., Herruzo, C., Martinez, M., and Gonzalez-Pachon, J. (2006), An
analysis of productive efficiency and innovation activity using DEA: an application to Spain’s wood-based industry, Forest Policy and Economics, 8:762-773.
Farrell, M.J. (1957), The measurement of productive efficiency, Journal of the Royal
Statistical Society Series A(General), 120(3):253-290.
Fare, R.S., S. Grosskopf and C.A.K. Lovell (1985), The Measurement of Efficiency of
Production, Boston: Kluwer-Nijhoff.
Fotiou, S. (2000), Efficiency measurement and logistics – an application of DEA in
Greek sawmills, In Sjostrom, K. (Ed.), Proceeding of 1st Word Symposium: Logistics in the Forest Sector, pp. 189-204, Helsinki: Timber Logistics Club.
Golany, B. and Roll, Y. (1989), An application procedure for DEA, Omega,
17(3):237-250.
Greene, W. H. (1981), On the asymptotic bias of the ordinary least squares estimator
of the tobit model, Econometrica, 49:505-513.
Helvoigt, T.L. and Adams, D.M. (2008), Data envelopment analysis of technical
efficiency and productivity growth in the US Pacific Northwest sawmill industry, Canadian Journal of Forest Research, 38:2553-2565.
Helvoigt, T.L. and Grosskopf, S. (2005), Productivity growth, technical efficiency,
and returns to scale in the Washington State sawmill industry, International Journal of Information Technology and Decision Making, 4(3):477-490.
Helvoigt, T.L., and Adams, D.M. (2008), Data envelopment analysis of technical
efficiency and productivity growth in the U.S. Pacific Northwest sawmill industry, Canadian Journal of Forest Research, 38:2553-2565.
Lee, J.Y. (2005), Using DEA to measure efficiency in forest and paper Companies,
Forest Products Society, 55(1):58-66.
Lee, J.Y. (2008), Application of the three-stage DEA in measuring efficiency-an
empirical evidence, Applied Economies Letters, 15(1):49-52.
Lebei, L.G. and Stuart, W.B. (1998), Technical efficiency evaluation of logging
contractors using a nonparametric model, International Journal of Forest Engineering, 9(2):15-24.
Lewin, A.Y. and Morey, R.C. (1981), Measuring the relative efficiency of output
potential of public sector organizations: An application of data envelopment analysis, International Journal of Policy Analysis and Information Systems, 5:267-285.
Lewin, A.Y., Morey, R.C., and Cook, T.J. (1982), Evaluating the administrative
efficiency of courts, Omega, 10(4):401-411.
Lewin, A.Y. and Minton, J.W. (1986), Determining organizational effectiveness:
another look, and an agenda for research, Management Science, 32(5):514-538.
McCarty, T. and Yaisawarng, S. (1993), Technical efficiency in New Jersey school
districts, In Fried, Lovell and Schmidt (eds.), The Measurement of Productive Efficiency: Techniques and Applications, New York: Oxford University Press,271-287.
Michael, N. and Barry, S. (1991), Data envelopment analysis-the assessment of
performance, John Wiley & Sons, Inc.1991.
Neda, S. and Taraneh, S. (2006), Productivity and efficiency assessment of the wood
industry:A review with a focus on Canada, Forest Produem Society,56(11/12):25-32.
Nyrud, A.Q. and Bergseng, S. (2002), Production efficiency and size in Norwegian
Sawmilling, Scandinavian Journal of Forest Research, 17:566-575.
Nyrud, A.Q. and Baardsen, S. (2003), Production efficiency and productivity growth
in Norwegian sawmilling, Forest Science, 49:89-97.
Salehirad, N. and Sowlati, T. (2005), Performance analysis of primary wood
producers in British Columbia using data envelopment analysis, Canadian Journal of Forest Research, 35:285-294.
Salehirad, N. and Sowlati, T. (2007), Dynamic efficiency analysis of primary wood
producers in British Columbia, Mathematical and Computer Modelling, 45:1179-1188.
Scully, G. W. (1995), The market structure of sports. Chicago, IL: University of
Chicago.
Seiford, L.M. (1990), A bibliography of data envelopment analysis(1978-1990)
Version 5.0. working paper, Amherst, Massachusetts: The University of Massachusetts.
Seiford, L.M. (1996), Data envelopment analysis: the evolution of the state of art
(1978-1995), Journal of Productivity Analysis, 7:99-137.
Simar, L., and Wilson, P. L. (2007), Estimation and inference in two-stage,
semi-parametric models of production processes, Journal of Econometrics, 136(1):31-64.
Sowlati, T., Vahid, S. (2006) , Malmquist productivity index of manufacturing sector
in Canada from 1994 to 2002 with a focus on wood manufacturing sector, Scandinavian Journal of Forest Research, 21(5): 424-433.
Shiba, M. (1997), Measuring the efficiency of managerial and technical perlbmiancs
in forestry activities by means of DEA, International Journal of Forest Engineering, 8(1):7-19.
Turner, H., Windle, R., and Dresner, M. (2004), North American container port
productivity: 1984-1997, Transportation Research Part E, 40(4):339-356.
Vahid, S. and Sowlati, T. (2007), Efficiency analysis of the Canadian Wood-product
manufacturing subsectors: a DEA approach, Forest Product Journal, 57:71-77.
Viitala, E.J. and Hanninen, H. (1998), Measuring the efficiency of public forestry
Organizations, Forest Science, 44(2):298-307.
Wang, K.L., Tseng, Y. T., and Weng, C. C. (2003), A study of production efficiencies
of integrated securities firms in Taiwan, Applied Financial Economics, 13(3):159-167.
Yin, R. (1998), DEA – a new methodology for evaluating the performance of forest
products producers, Forest Products Journal, 48 (1):29-34.
Yin, R. (1999), Production efficiency and cost competitiveness of pulp producers in
the Pacific Rim, Forest Products Journal, 49 (7/8):43-49.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61923-
dc.description.abstract本研究旨在探討台灣林場之經營效率。本文首先透過文獻回顧探討以往在衡量經營效率的研究上所使用的方法,而後利用兩階段資料包絡分析法針對2005年台灣林業普查資料庫內林場的資料進行實證,首先在第一階段利用資料包絡分析法計算出各個林場的效率值。進一步使用差額變數分析與敏感度分析尋求林場績效的改進方向。第二階段以DEA效率值為依變數,針對經營組織、管理者特性與土地特性等各項環境變數進行截斷式迴歸分析。
  研究結果顯示,台灣的林場經營效率普遍來說並不佳,經營效率平均值約0.34,代表其可節省66%的投入項以達到相同產出。總體而言,所有的林場皆需改善其林產品的銷售,對小規模的林場而言,除了需要改進林產品銷售外,林副產品的銷售也需改進;對大規模的林場而言,則還需減少林地產能閒置的情況。而在截斷式迴歸部分,結果顯示經營者的教育程度、地區以及無兼營其他產業這些環境變數對於林場的效率有顯著的正向影響。
zh_TW
dc.description.abstractThe main purpose of this study is to analyze the operating efficiency of forest farms in Taiwan. The study first explored the methods to measure operating efficiency through literature review, then applied the two-stage data envelopment analysis (DEA) to examine the forest farms empirically based on the data of Taiwan’s forestry census in 2005. The DEA was used to calculate the efficiency scores of forest farms individually in the first stage. Moreover, slacks variable analysis and sensitive analysis were utilized to find out the way to improve their performance. In the second stage, the efficiency scores was regressed against a set of forest farms’ environment variables, such as manager and land characteristics by truncated regression.
The study result shows that most forest farms in Taiwan do not operate efficiently. Their average score of operating efficiency is 0.34 which means that 66% inputs can be saved for achieving the same level of output. All forest farms need to increase their sales of forest products, and furthermore small forest farms have to increase their sales of by-products, large forest farms have to reduce their idle lands . The regression analysis shows that the educational level of managers, forest farm’s location and non-diversified business are significantly positive factors to operating efficiency.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T13:18:55Z (GMT). No. of bitstreams: 1
ntu-102-R00625051-1.pdf: 1968085 bytes, checksum: 997033711f2200a510dd012eba9582e1 (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents目錄
謝誌 I
摘要 II
Abstract III
目錄 IV
表次 V
圖次 VI
第一章 緒論 1
第一節、研究背景與動機 1
第二節、研究目的 2
第三節、研究架構 2
第二章 文獻回顧 4
第一節、台灣林場經營沿革 4
第二節、經營效率之評估方法 6
第三節、實務應用之相關研究 10
第三章 兩階段DEA研究理論與方法 15
第一節、資料包絡分析法(Data Envelopment Analysis) 15
第二節、截斷式迴歸(Truncated Regression) 29
第四章 台灣林場經營效率之實證分析 30
第一節、普查資料之敘述性分析 30
第二節、資料來源與研究對象 34
第三節、研究變數的選取 35
第四節、兩階段DEA結果 37
第五章 結論與建議 56
參考文獻 60
dc.language.isozh-TW
dc.title台灣之林場經營效率研究-兩階段資料包絡分析之應用zh_TW
dc.titleA Study on Operating Efficiency of Forest Farms in Taiwan- An Application of Two-Stage Data Envelopment Analysisen
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.oralexamcommittee顏添明,黃名媛,楊增華
dc.subject.keyword兩階段資料包絡分析法,截斷式迴歸,台灣林業普查,效率評估,zh_TW
dc.subject.keywordtwo-stage DEA,forest farm,forest management,forestry census,efficiency evaluation,en
dc.relation.page65
dc.rights.note有償授權
dc.date.accepted2013-07-26
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept森林環境暨資源學研究所zh_TW
顯示於系所單位:森林環境暨資源學系

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