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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 荷世平(Shih-Ping Ho) | |
| dc.contributor.author | Chin-Yu Wu | en |
| dc.contributor.author | 吳晉宇 | zh_TW |
| dc.date.accessioned | 2021-06-16T02:31:42Z | - |
| dc.date.available | 2020-08-25 | |
| dc.date.copyright | 2020-08-25 | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020-08-04 | |
| dc.identifier.citation | 1. 麻匡復. (1999) .編定工業區與都市計畫工業區開發效率之研究,國立政治大學地政碩士論文。 2. 林坤龍. (2000) .工業區生命週期及其效率評估之研究-以台灣地區工業區為例,國立成功大學都市計劃研究所碩士論文。 3. 江佩玉. (2001) .都市特性與產業生產效率關係之研究,國立政治大學地政學系碩士論文。 4. 許君毅. (2003. 台灣地區工業用地政策與生產效率之研究,國立政治大學地政博士論文。 5. 高強, 黃旭男 &Sueyoshi, T.. (2003),管理績效評估資料包絡分析法。台北:華泰文化。 6. 黃台心, 陳盈秀, 陳珮欣. (2007). 台灣地區本國銀行業長期效率的動態分析. 經濟論文, 35(1), 83-114. 7. 黃鏡如, 傅祖壇, 農業經濟, 黃美瑛. (2008). 績效評估: 效率與生產力之理論與應用. 新陸出版. 8. 楊斌. (2009). 2000—2006 年中國區域生態效率研究——基於 DEA 方法的實證分析. 經濟地理, 29(7), 1197-1202. 9. 李哲宇. (2010). 應用經濟-生態效率分析台灣縣市發展之研究,國立政治大學地政研究所碩士學位論文。 10. 王冠斐, 邊泰明. (2010). 企業在地再投資區位選擇之研究. Journal of architecture, 11(3), 193-220. 11. 劉巍, 田金平, 李星, 劉婷, 陳呂軍. (2012). 基於資料包絡分析的綜合類生態工業園區環境績效研究. 生態經濟, (7), 125-128. 12. 林億明, 孔維新, 吳苡嘉. (2014). 如何以最經濟的方式攝取營養素: 以蔬菜, 水果為例. 13. 郭振雄, 陳香梅, 羅光達. (2014). 台灣工業部門二氧化碳之排放減量成本: 環境方向性距離函數之應用. 應用經濟論叢, (95), 147-189. 14. Chang, C. C. (1999), “The Nonparametric Risk-Adjusted Efficiency Measurement: An Application to Taiwan’s Major Rural Financial Intermediaries.” American Journal of Agricultural Economics, 81, No. 4, pp.902-13. 15. Färe, R., S. Grosskopf, C. A. K. Lovell, and C. Pasurka (1989), “Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach.” The Review of Economics and Statistics, 71, No. 1, pp.90-8. 16. Seiford, L. M. and J. Zhu (2002), “Modeling Undesirable Factors in Efficiency Evaluation.” European Journal of Operational Research, 142, No. 1, pp.16-20. 17. Klopp, P., (1985). “The Analysis of the Efficiency of Production System with Multiple Input and Output,” Ph. D. Dissertation, University of Illnois, Chicago. 18. Doyle, J. R., Green, R. H. (1991). “Comparing products using data envelopment analysis.” Omega, 19(6), 631-638. 19. Aigner, D., Lovell, C. K., Schmidt, P. (1977). “Formulation and estimation of stochastic frontier production function models.” Journal of econometrics, 6(1), 21-37. 20. Meeusen, W., van Den Broeck, J. (1977). “Efficiency estimation from Cobb-Douglas production functions with composed error.” International economic review, 435-444. 21. Berger, A. N., Humphrey, D. B. (1991). “The dominance of inefficiencies over scale and product mix economies in banking.” journal of Monetary Economics, 28(1), 117-148. 22. Charnes, A., Cooper, W. W., Rhodes, E. (1978). “Measuring the efficiency of decision making units. European journal of operational research,” 2(6), 429-444. 23. Banker, R. D., Charnes, A., Cooper, W. W. (1984). “Some models for estimating technical and scale inefficiencies in data envelopment analysis.” Management science, 30(9), 1078-1092. 24. Berger, A. N., Hunter, W. C., Timme, S. G. (1993). “The efficiency of financial institutions: A review and preview of research past, present and future.” Journal of Banking Finance, 17(2), 221-249. 25. Ben, T. M. (2011). “Interaction analysis among industrial parks, innovation input, and urban production efficiency.” Asian Social Science, 7(5), 56. 26. Zhang, B., Bi, J., Fan, Z., Yuan, Z., Ge, J. (2008). “Eco-efficiency analysis of industrial system in China: a data envelopment analysis approach.” Ecological economics, 68(1), 306-316. 27. Tone, K., Tsutsui, M. (2011). “Applying an efficiency measure of desirable and undesirable outputs in DEA to US electric utilities.” Journal of CENTRUM Cathedra: The Business and Economics Research Journal, 4(2), 236-249. 28. Mann, H. B., Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The annals of mathematical statistics, 50-60. 29. Shephard, R., W., (1970). Theory of Cost and Production Functions. New Jersey: Princeton University Press. 30. Farrell, M.J., (1957). “The Measurement of Productive Efficiency.” Journal of Royal Statistical Society, Series A, General, Vol.120, No.3, 253-281. 31. Farrell, M. J. and Fieldhouse, M., (1962). “Estimating Efficient Production Functions under Increasing Returns to Scale.” Journal of the Royal Statistical Society, Series A, General, 125, Part 2, 252-267. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53862 | - |
| dc.description.abstract | 國家發展經濟與提升工業化的過程中,產業用地開發是不可或缺的關鍵要素,為能提升各縣市產業用地管理績效,本研究發展一套績效評估衡量模式,藉此瞭解各縣市產業用地管理之優劣,進而規劃產業用地管理與供給策略,研擬合宜產業區位策略措施,促進產業用地有效利用,藉以持續推動臺灣經濟產業發展效能。 本研究以非意欲產出資料包絡分析法(DEA)模式進行實證分析,評估民國101年至106年各年期各縣市產業用地管理績效,結果顯示新北市、桃園市、雲林縣及新竹縣市之產業用地管理績效為相對有效率,嘉義縣及嘉義市則較無效率。再透過視窗分析法,其結果顯示新北市、高雄市、基隆市及新竹縣市之產業用地管理績效為相對有效率,南投縣、臺北市、彰化縣、屏東縣及嘉義縣等則較無效率。 本研究經由非意欲產出資料包絡分析法實證分析結果,針對都會型縣市與城鄉型縣市、直轄市與非直轄市、有無設置科學園區等之各種類型縣市產業用地管理效率進行Mann-Whitney U 檢定,結果顯示僅都會型縣市產業用地管理績效顯著優於城鄉型縣市,其餘類型均無顯著差異。本研究再以北中南東等4個區域進行Mann-Whitney U 檢定,分析結果顯示僅北部區域顯著優於中部區域,其餘區域間之比較結果均無顯著差異。 透過實證分析結果,本研究歸納結論及其策略意涵包括政府應積極提升都市整體進步邁向都會型縣市,除可帶動經濟效益及產出價值,連帶可提升產業用地管理效率。此外,並非升格成為直轄市,享有更多行政資源之縣市,就表示其產業用地管理效率較優於非直轄市。另亦非爭取設置科學園區之縣市即顯示其產業用地管理效率最佳,基於區位均衡發展,適合一般製造業之產業園區,更能創造就業機會、累積更多經濟效益,進而使該縣市產業用地管理效率相對較佳。除北部區域為臺灣製造業及半導體產業之重心,確實可見其產業用地管理效率相對較佳之外,區域因素並非決定產業用地管理效率之主因。 | zh_TW |
| dc.description.abstract | Development of Industrial Park is the key factor during the National economic and industrialization process. The study develops a model for performance assessment in order to upgrade Industrial Park management performance and to knows efficiency in Taiwan Counties. Furthermore, to develop strategic implications for Industrial Park management, supply and location. Keep promoting effective economic development in Taiwan. The study analyzes by Undesirable Outputs Data Envelopment Analysis (DEA) model to evaluate Industrial Park management performance on each year during 2012 to 2017 year in Taiwan Counties. The results show relatively efficient on Industrial Park management performance are New Taipei city, Taoyuan city, Yunlin city and Hsinchu county city. Chiayi county and Chiayi city are relatively inefficient. Then the study analyzes by Window Analysis and the results show relatively efficient on Industrial Park management performance are New Taipei city, Kaohsiung city, Keelung city, and Hsinchu county city. Nantou county, Taipei city, Changhua county, Pingtung county and Chiayi county are relatively inefficient. Base on the results from Undesirable Outputs DEA, the study analyzes by Mann-Whitney U test between 4 types that are Metropolitan and Urban Rural cities, Municipality and Non-Municipality, cities with Science Park or not, different location area. The results show that Metropolitan have significant advantage than Urban Rural cities and North area in Taiwan have significant advantage than Central area in Taiwan. Then the other types are no significant difference. In conclusion and strategic implications of the study that Government should upgrade into Metropolitan city positively. It will motive in economic benefit and value of output and promote efficient on Industrial Park management performance. Municipality and cities with Science Park can’t reflect that would be efficient on Industrial Park management performance. North area in Taiwan is the main industrial clusters of manufacturing and semiconductor industries and it has relatively efficient on Industrial Park management performance. Location area is not the key factor to determinate the efficient on Industrial Park management performance. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T02:31:42Z (GMT). No. of bitstreams: 1 U0001-0408202014455300.pdf: 2092745 bytes, checksum: 99f8810df7f0612a967d5b74bce5cd8f (MD5) Previous issue date: 2020 | en |
| dc.description.tableofcontents | 口試委員會審定書......................i 誌謝................................ii 中文摘要............................iii Abstract............................iv 目錄.................................v 表次...............................vii 圖次..............................viii 第一章 緒論...........................1 1.1 研究背景與目的..................1 1.2 研究流程.......................3 第二章 文獻回顧........................4 2.1 臺灣產業用地開發與管理方式........4 2.2 績效評估方法....................12 2.3 產業用地績效評估文獻回顧..........13 2.4 文獻回顧小結.....................16 第三章 研究方法.........................17 3.1 資料包絡分析法...................17 3.2 非意欲產出模式...................25 3.3 視窗分析法.......................31 3.4 Mann-Whitney U 檢定.............33 3.5 研究方法小結.....................34 第四章 實證分析.........................35 4.1 實證資料定義與來源................35 4.2 資料選取與基本統計................37 4.3 各縣市產業用地管理績效評估分析結果..45 4.4 各縣市產業用地管理績效評估視窗分析結果..48 4.5 各類型縣市產業用地管理效率Mann-Whitney U 檢定分析結果...51 第五章 研究結論與建議.....................55 5.1 研究結論..........................55 5.2 研究建議..........................58 參考文獻.................................60 表 次 表2-1 臺灣歷年產業園區與用地開發類型一覽表..............10 表2-2 國內外產業用地相關績效評估文獻彙整表..............14 表4-1 民國101至106年投入項資料之年平均值統計分析表......38 表4-2 民國101至106年產出項資料之年平均值統計分析表......40 表4-3 民國101至106年受評單位18縣市投入項資料之年平均值統計分析表...43 表4-4 民國101至106年受評單位18縣市產出項資料之年平均值統計分析表...44 表4-5 民國101至106年各縣市產業用地管理效率值............46 表4-6 民國101至106年各縣市產業用地管理效率值(按平均值排名)........47 表4-7 各縣市產業用地管理效率值視窗分析法(Window Analysis)分析結果表...49 表4-8 民國103至106年視窗分析法之投入項與產出項之相關係數分析結果表.....50 表4-9 都會型縣市與城鄉型縣市產業用地管理效率值檢定結果....52 表4-10 直轄市與非直轄市產業用地管理效率值檢定結果.........53 表4-11 有無設置科學園區產業用地管理效率值檢定結果.........54 表4-12 北中南東等4個區域產業用地管理效率值檢定P-Value結果.............54 圖 次 圖1-1 研究流程圖.............................3 圖2-1 臺灣產業用地供給體系....................5 圖2-2 產業園區生產總額分布圖..................6 圖2-3 產業園區就業人數分布圖..................6 圖3-1 資料包絡法(DEA)分析各受評單位的效能值....22 圖3-2 視窗分析法(Window Analysis) 概念示意圖..32 圖4-1 各縣市產業用地管理各年期效率值...........46 圖4-2 各縣市產業用地管理平均效率值分布圖........47 圖4-3 各縣市產業用地管理視窗分析法(Window Analysis)平均效率值分布圖...50 | |
| dc.language.iso | zh-TW | |
| dc.subject | 非意欲產出 | zh_TW |
| dc.subject | 產業用地 | zh_TW |
| dc.subject | 績效評估 | zh_TW |
| dc.subject | 資料包絡分析法 | zh_TW |
| dc.subject | DEA | zh_TW |
| dc.subject | DEA | en |
| dc.subject | Performance Assessment | en |
| dc.subject | Data Envelopment Analysis | en |
| dc.subject | Industrial Park | en |
| dc.subject | Undesirable Outputs | en |
| dc.title | 產業用地開發之績效評估與其策略意涵:應用資料包絡分析法 | zh_TW |
| dc.title | Performance Assessment of the Development of Industrial Park and its Strategic Implications:Data Envelopment Analysis Approach | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 108-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 曾惠斌(Hui-Ping Tserng),林藝馨(Yi-Hsin Lin) | |
| dc.subject.keyword | 產業用地,績效評估,資料包絡分析法,DEA,非意欲產出, | zh_TW |
| dc.subject.keyword | Industrial Park,Performance Assessment,Data Envelopment Analysis,DEA,Undesirable Outputs, | en |
| dc.relation.page | 62 | |
| dc.identifier.doi | 10.6342/NTU202002373 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2020-08-05 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位: | 土木工程學系 | |
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