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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36773完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳珮瑛(Pei-Ing Wu) | |
| dc.contributor.author | Chai-Tzu Chen | en |
| dc.contributor.author | 陳佳慈 | zh_TW |
| dc.date.accessioned | 2021-06-13T08:15:16Z | - |
| dc.date.available | 2016-08-10 | |
| dc.date.copyright | 2011-08-10 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-07-20 | |
| dc.identifier.citation | 王媛慧、李文福,2004。「我國地區醫院技術效率之研究--DEA方法的應用」,『經濟研究』。40卷,1期, 61-95。
內政部統計處,2010。《內政統計月報》。台北:內政部統計處。(http://sowf.moi.gov.tw/stat/month/list.htm)(2010/12/18) 行政院主計處,2010。『總體統計資料庫』。(http://ebas1.ebas.gov.tw/pxweb/Dialog/statfile9L.asp)(2010/10/18) 行政院經濟部能源局,2009。『中華民國九十八年能源統計手冊』。台北:行政院經濟部能源局。 吳珮瑛、林宗昱、劉哲良,2010。「不同國際組織與結盟下之碳排放交易成本有效性的檢視」,『經社法制論叢』。46期,41-84。 林育萍,2005。「太平洋週邊國家CO2 氣體排放減量的影子價格」。行政院國家科學委員會專題研究計畫。NSC93-2415-H-009-001-。國立交通大學經營管理研究所。 陳谷劦、楊浩彥,2008。「共同邊界Malmquist生產力指數的延伸:跨國總體資料的實證分析」,『經濟論文叢刊』。36卷,4期,551-588。 陶長琪、宋興達,2010。「我國CO2排放、能源消耗、經濟增長和外貿依存度之間的關係─基於ARDL模型的實證研究」,『南方經濟』。10期:49-60。 黃仁德、羅石萬,2001。『現代經濟成長理論』。台北:華泰文化出版社。 黃台心、陳盈秀、王美惠,2009。「我國與東亞諸國總體生產效率與生產力研究」,『經濟論文叢刊』。37卷,4期,379-414。 劉哲良、吳珮瑛,2010。「跨國CO2排放交易機制初始總量分配之檢視─不同公平準則下個別國家與世界整體之衝突與調和」,『農業經濟叢刊』。15卷,2期,133-181。 劉哲良、吳珮瑛、黃芳玫,2009。「跨國共同邊界生產技術效率比較--同步考量正向經濟發展與負向CO2排放」,『農業與經濟』。43期,1-37。 Aigner, D. J. and S. F. Chu, 1968. “On Estimating the Industry Production Function,” American Economic Review. 58(4): 826-839. Arellano, Manuel and Stephen Bond, 1991. “Some Tests of Specification for Panel Data: Monte Carlo Evidence and An Application to Employment Equations,” Review of Economic Studies. 58(2): 277-297. Baltagi, Badi H.,2004. Panel Data: Theory and Applications. New York: Physica- Verlag . Battese, George E. and D. S. Prasada Rao, 2002. “Technology Gap, Efficiency, and A Stochastic Metafrontier Function,” International Journal of Business and Economics. 1(2): 87-93. Beckcerman, Wilfred, 1992. “Economic Growth and the Environment : Whose Growth? Whose Environment?” World Development. 20(4): 481-496. Bernardes, Américo Tristão and Eduardo da Motta e Albuquerque, 2003. “Cross-over, Thresholds, and Interactions between Science and Technology: Lessons for Less-developed Countries,” Research Policy. 32: 865-885. Berstein, Lenny and Pan Jiahua,ed., 2000. Sectoral Economic Costs and Benefits of GHG Mitigation. Germany: Intergovernmental Panel on Climate Change. Bos, Jaap W.B. and Heiko Schmiedel, 2007. “Is There a Single Frontier in a Single European Banking Market?” Journal of Banking and Finance. 31(7): 2081-2102. Boyd, Gale, John Molburg, and Raymond Prince, 1996. “Alternative Methods of Marginal Abatement Cost Estimation: Non-parametric Distance Functions,” U.S. Department of Education Assistant Secretary for Human Resources and Administration. ANL/DIS/CP-- 90838. Argonne National Laboratory, Decision and Information Sciences Division. (http://www.osti.gov/energycitations/product.biblio.jsp?osti_id=449842) (2010/10/18) Charnes, Abraham, William W. Cooper, Arie Y. Lewin and Lawrence M. Seiford.,ed., 1995. Data Envelopment Analysis: Theory, Methodology and Applications. Boston: Kluwer Academic. Chen, Zhuo and Shunfeng Song, 2008. “Efficiency and Technology Gap in China's Agriculture: A Regional Meta-frontier Analysis,” China Economic Review. 19: 287-296. Chung, Yangho, Rolf Färe, and Shawna Grosskopf, 1997. “Productivity and Undesirable Outputs: A Directional Distance Function Approach,” Journal of Environmental Management. 51(3): 229-240. Coggins, Jay S. and John R. Swinton,1996. “The Price of Pollution: A Dual Approach to Valuing SO2 Allowances,” Journal of Environmental Economics and Management. 30: 58-72. Cole, M. A., A. J. Rayner, and J. M. Bates, 1997. “The Environmental Kuznets Curve: An Empirical Analysis,” Environmental and Development Economics. 2: 401-416. Dasgupta, Susmita , Benoit Laplante , HuaWang, and David Wheeler, 2002. “ Confronting the Environmental Kuznets Curve,” Journal of Economic Perspectives. 16(1): 147-168. Dinda, Soumyananda, 2004. “Environmental Kuznets Curve Hypothesis : A Survey,” Ecological Economics. 49: 431-455. Edmonds, Jae and John Reilly, 1983. “A Long-term Global Energy Economic Model of Carbon Dioxide Release From Fossil Fuel Use,” Energy Economics. 5(2): 74-88. Färe, Rolf, Shawna Grosskopf, C. A. Knox Lovell, and Suthathip Yaisawarng, 1993. “Derivation of Shadow Prices for Undesirable Output: A Distance Function Approach,” The Review of Economics and Statistics. 75(2): 374-380. Färe, Rolf and Shawna Grosskopf, 2000. “Theory and Application of Directional Distance Functions,” Journal of Productivity Analysis .13(2): 93-103. Färe, Rolf, Shawna Grosskopf, and William L. Weber, 2006. “Shadow Prices and Pollution Costs in U.S Agriculture,” Ecological Economics. 56: 89-103. Friedl, Birgit and Michael Getzner. 2003. “Determinants of CO2 Emissions in A Small Open Economy,” Ecological Economics. 45: 133-148. Fuss, Melvyn and Daniel McFadden ed., 1978. Production Economics: A Dual Approach to Theory and Applications, Volume I: The Theory of Production. Amsterdam: North-Holland. Grossman, Gene M. and Alan B. Krueger, 1995. “Economic Growth and the Environment,” Quarterly Journal of Economics. 110(2): 353-377. Han, Gaofeng, Kaliappa Kalirajan, and Nirvikar Singh, 2002.“Productivity and Economic Growth in East Asia: Innovation Efficiency and Accumulation,” Japan and the World Economy. 14 (4): 401-424. Harbaugh, William T., Arik Levinson, and David Molloy Wilson, 2002. “Reexamining the Empirical Evidence for an Environmental Kuznets Curve,” The Review of Economics and Statistics. 84(3): 541-551. Hell, Mark T. and Thomas M. Selden, 2001. “International Trade Intensity and Carbon Emissions: A Cross-country Econometric Analysis,” Journal of Environment and Development. 10(1): 35-49. Howitt, Peter, 2000. “Endogenous Growth and Cross-country Income Difference,” The American Economic Review. 90(4): 829-846. Intergovernmental Panel on Climate Change(IPCC), 1996. Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories. Bracknell: Intergovernmental Panel on Climate Change. Intergovernmental Panel on Climate Change(IPCC), 2007. Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the. Cambridge: Cambridge University Press. (http://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_wg1_report_the_physical_science_basis.htm)(2011/04/21) Jacobsen, Henrik Klinge, 1998. “Integrating the Bottom-up and Top-down Approach to Energy Economy Modeling: The Case of Denmark,” Energy Economics. 20: 443-461. Koopmans, Tjalling C. , 1951. Activity Analysis of Production and Allocation, Proceedings of a Conference . New York: Wiley. Kraft, John and Arthur Kraft, 1978. “On the Relationship between Energy and GNP,” Journal of Energy and Development. 3(2): 401-403. Lee, Jeong-Dong, Jong-Bok Park ,and Tai-Yoo Kim, 2002. “Estimation of the Shadow Prices of Pollutants with Production/Environment Inefficiency Taken into Account: A Nonparametric Directional Distance Function Approach ,” Journal of Environmental Management. 64(4): 365-375. Lindmark, Magnus, 2004. “Patterns of Historical CO2 Intensity Transitions among High and Low-income Countries,” Explorations in Economic History. 41: 426- 447. Lozano, Sebastián and Ester Gutiérrez, 2008. “Non-parametric Frontier Approach to Modeling the Relationships among Population, GDP, Energy Consumption and CO2 Emissions,” Ecological Economics. 66(4): 687-699. Maradan, David and Anatoli Vassiliev, 2005. “Marginal Costs of Carbon Dioxide Abatement: Empirical Evidence from Cross-country Analysis,” Swiss Journal of Economics and Statistics. 141(3): 377-410. Marklund, Per-Olov and Eva Samakovlis, 2007. “What is Driving the EU Burden-sharing Agreement: Efficiency or Equity?” Journal of Environmental Management. 85(2): 317-329. McCarty, Therese A. and Suthathip Yaisawarng, 1993. “Technical Efficiency in New Jersey School Districts,” in The Measurement of Production Efficiency, pp. 271-287.Edited by Harold O. Fried, C. A. Knox Lovell, and Shelton S. Schmidt. New York: Oxford University Press. McConnell, Kenneth E., 1997. “Income and the Demand for Environmental Quality,” Environment and Development Economics. 2: 383-399. McFadden, Daniel, 1978 “Cost, Revenue, and Profit Functions,” in Production Economics: A Dual Approach to Theory and Applications, Volume I: The Theory of Production. pp.3-109. Edited by Fuss, Melvyn and Daniel L. McFadden. Amsterdam: North-Holland. Moreira ,Víctor H. and Boris E. Bravo-Ureta, 2010. “Technical Efficiency and Metatechnology Ratios for Dairy Farms in Three Southern Cone Countries: A Stochastic Meta-Frontier Model,” Journal of Productivity Analysis. 33(1): 33-45. Nahman, Anton and Geoff Antrobus, 2005. “Trade and the Environmental Kuznets Curve: Is Southern Africa A Pollution Haven?” South African Journal of Economics. 73(4): 803-814. Neumayer, Eric, 2004. “National Carbon Dioxide Emissions: Geography Matters,” Area. 36(1): 33-40. O’Donnell, Christopher J., D. S. Prasada Rao, and George E. Battese, 2007. “A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating under Different Technologies,” Empirical Economics. 34(2): 231-255. Organization for Economic Co-operation and Development, 1998. Economic Modeling of Climate Change. Paris, France: Organisation for Economic Co-operation and Development. Pearce, David, 2003. “The Social Cost of Carbon and Its Policy Implications,” Oxford Review of Economic Policy. 19(3): 362-384. Ramanathan, Ramakrishnan, 2005. “An Analysis of Energy Consumption and Carbon Dioxide Emissions in Countries of the Middle East and North Africa,” Energy. 30: 2831-2842. Reig-Martínez, Ernest, Andrés Picazo-Tadeo, and Francesc Hernández-Sancho, 2001. “The Calculation of Shadow Prices for Industrial Wastes Using Distance Functions: An Analysis For Spanish Ceramic Pavements Firms,” International Journal of Production Economics. 69(3): 277-285. Semykina, Anastasia and Jeffrey Wooldridge, 2010. “Estimating Panel Data Models in the Presence of Endogeneity and Selection,” Journal of Econometrics. 157(2): 375-380. Shephard, Ronald W., 1970. Theory of Cost and Production Functions. Princeton: Princeton University Press. Statistical, Economic and Social Research and Training Centre for Islamic Countries, (SESRIC), 2010. Basic Social and Economic Indicators. (http://www.sesric.org/) (2010/11/20) Thiam, Abdourahmane, Boris E. Bravo-Ureta, and Teodoro E. Rivas, 2001. “Technical Efficiency in Developing Country Agriculture: A Meta-analysis,” Agricultural Economics. 25: 235-243. Tyteca, Daniel, 1996.“On the Measurement of the Environmental Performance of Firms: A Literature Review and A Productive Efficiency Perspective,”Journal of Environmental Management. 46(3): 281-308. United Nations Development Programme(UNDP), 2001. Human Development Report 2001: Making New Technologies Work for Human Development. New York: Oxford University Press. United Nations, 1992. United Nations Framework Convention on Climate Change. New York: United Nations. United Nations, 2003. Economic Survey of Europe. New York: United Nations. United Nations Framework Convention on Climate Change(UNFCCC), 2007. Kyoto Protocol. (http://unfccc.int/kyoto_protocol/items/2830.php)(2011/02/15). United Nations Framework Convention on Climate Change(UNFCCC), 2009. The United Nations Climate Change Conference in Copenhagen, 7-19 December 2009. (http://unfccc.int/meetings/cop_15/items/5257.php)(2011/02/10) Weyant, John P. and Jennifer N. Hill, 1999. “Introduction and Overview,” Energy Journal Special Issue, The Costs of the Kyoto Protocol: A Multi-model Evaluation, pp.vii-xliv. (http://www.iaee.org/cn/publications/kyoto.aspx)(2011/3/28) World Bank, 2010. World Development Indicators. ( http://publications.worldbank.org / WDI/) (2010/12/18). World Economic Forum, 2010. The Global Competitiveness Report 2010–2011. Geneva, Switzerland: World Economic Forum. World Resource Institute(WRI), 2011. The Climate Analysis Indicator Tool Database. (http://cait.wri.org/)(2011/2/12) Yu, Eden S.H. and Jai-Young Choi, 1985. “Causal Relationship between Energy and GNP: An International Comparison,” Journal of Energy Development. 10(2): 249-272. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36773 | - |
| dc.description.abstract | 本研究在同時考量經濟發展及CO2排放下,結合影子價格模型與共同邊界分析之概念,並以技術競爭力指標分數作為國家分群的依據,建構了共同技術成本比(meta-technology cost ratio,MTCR)指標,試圖以減碳成本的變化衡量各國生產技術差異,MTCR可直接反映技術水準進步所能帶來之成本改善幅度,並可對應得知在技術水準進步後,CO2邊際減量成本(marginal abatement cost,MAC)能夠降低的金額支出,決策者不僅能藉由MTCR評估促使其追求技術進步的誘因大小,亦能從MAC的差額得知該政策能為該國帶來的具體經濟利益。本研究亦使用共同技術比MTR(meta-technology ratio,MTR)分析各國以技術效率衡量之技術差異。
估計結果發現,在以技術競爭力指標為分群基礎下,隨著技術競爭力的發展,各國之技術效率表現會逐漸上升,減碳成本則會呈現先降後升的趨勢。藉由技術水準的提升,低技術競爭力國家可獲得最大的技術效率進步空間及減碳成本節省幅度,並可對應至最高的減碳成本節省金額,顯示其應該投注較多資源於技術進步的追求上;相較之下,雖然高技術競爭力國家具有與低技術競爭力國家相似的減碳成本節省金額,然而由於高技術競爭力國家的所得水準較高,藉由技術進步獲得之成本改善對其經濟的影響程度並不大,故促使高技術競爭力國家追求技術進步的誘因也就不高。 檢視各群組國家投入產出以及技術效率變動率可知,投入要素的累積對一國經濟發展的貢獻會隨著技術競爭力的發展逐漸式微。而在技術與產出水準變動的影響下,各國的邊際減碳成本會隨著時間推進而逐年增加,並會逐漸趨於往在不同產出水準所對應之最低減碳成本邁進。此外,減碳成本隨著人均所得、石化能源使用強度、人口密度,以及貿易開放程度等環境結構因子的上升而增加,技術效率的改善則有助於降低減碳成本,且不同技術競爭力國家所受影響程度亦有所差異。 | zh_TW |
| dc.description.abstract | The purpose of this paper is to construct a meta-technology cost ratio indicator by combining shadow price model and meta-frontier analysis under grouping different technological competitiveness index. The meta-technology cost ratio which can be used to measure the technical differences across countries under economic development and different emissions of carbon dioxide. The meta-technology cost ratio can not only reflect the improvement rate of carbon abatement cost by technological progress but also provide the exact amount of cost savings. Traditional meta-technology ratios are also computed for comparison.
Estimates results find that the performance of technical efficiency of each country increases as the technological competitiveness reaches to higher level. At the same time, the abatement cost for emission reductions will be declined and then increased later on. Those countries with the lowest technological competitiveness level result in the most technical improvement and the highest cost saving for carbon emission reductions. It shows that more resources are required for these countries to pursuit the higher technology levels. On the contrary, although there is similar abatement cost for emission reductions for countries with the highest and the lowest technology levels. Such cost saving is insignificantly for countries with high income however similar amount for low income countries has critical impact. As such, there is low incentive for high income countries to pursue technological advances. Furthermore, simultaneously taking into account the technical efficiency and outputs levels, abatement cost for emission reductions will gradually increase over time and tend to approach the ideal abatement cost for emission reductions under different output levels. It is also found that income per capita, fossil energy use intensity, population density, and trade openness have positive impacts on the abatement cost of carbon emission reductions. The improvement of technical efficiency assistants the declining of the abatement cost of carbon reductions. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T08:15:16Z (GMT). No. of bitstreams: 1 ntu-100-R98627001-1.pdf: 1471178 bytes, checksum: 0651e75d9e88a1317eba2bc12bc495ec (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 目錄
摘要..........i Abstract..........ii 目錄..........iii 表目錄..........v 圖目錄..........vi 第一章 緒論..........1 第一節 研究動機..........1 第二節 研究目的..........4 第二章 共同技術成本比概念架構..........6 第一節 二氧化碳減量成本之內涵...........6 第二節 方向性距離函數與影子價格模型..........7 第三節 共同邊界之分析架構..........11 第四節 共同技術比與共同技術成本比之概念分析..........16 第三章 資料來源及實證模型設定..........20 第一節 實證資料來源..........20 一、估算各國效率表現與邊際減量成本所需變數..........20 二、影響二氧化碳邊際減量成本之社經變數..........22 第二節 樣本特性與變數資料之檢視..........23 一、共同邊界架構下之國家技術水準分群方式..........23 二、原始變數資料檢視..........26 第三節 實證模型設定..........35 一、估算技術效率與二氧化碳影子價格之模型設定..........35 二、二氧化碳邊際減量成本之模型設定..........37 第四章 實證結果分析..........41 第一節 投入產出變動率檢視..........41 第二節 技術效率及共同技術比之比較分析..........44 一、相異群組間效率值及共同技術比之比較分析..........46 二、特定群組內效率值及共同技術比之比較分析..........49 第三節 邊際減碳成本及共同技術成本比之比較分析..........51 一、相異群組間邊際減碳成本及共同技術成本比之比較分析..........51 二、特定群組內邊際減碳成本及共同技術成本比之比較分析..........57 第四節 技術效率及邊際減碳成本變動率檢視..........59 一、相異群組間技術效率及邊際減碳成本變動率檢視..........61 二、特定群組內技術效率及邊際減碳成本變動率檢視..........65 三、特定群組內邊際減碳成本差額與技術效率及減碳成本進步空間之檢視..........67 第五節 邊際減碳成本決定因子之分析..........73 第五章 結論與建議..........77 第一節 結論..........77 第二節 研究建議..........79 參考文獻..........80 附錄一:100國於1993-2007年間投入產出變項之平均值與標準差..........86 附錄二:100國於1993-2007年間環境結構因子之平均值與標準差..........93 附錄三:各技術群組國家歷年投入產出平均變動率..........100 附錄四:方向性產出距離函數中國家效果及時間效果之參數估計值..........105 附錄五:100國於1993-2007年之減碳成本、共同技術成本比、技術效率及共同技術比..........109 附錄六:各技術競爭力群組減碳成本節省金額估計結果..........153 附錄七:減碳成本決定因子之所得工具變數估計結果..........155 表目錄 表3.1 各技術競爭力群組國家名單..........27 表3.2 各群組樣本投入產出變數於1993至2007年的平均值與標準差..........28 表3.3 投入要素與產出之相關係數..........28 表3.4 各群組樣本環境結構變數於1993至2007年的平均值與標準差..........30 表4.1 各群組國家歷年投入產出平均變動率..........42 表4.2 方向性距離函數估計結果..........44 表4.3 各群組國家1993-2007共同效率、群組效率及共同技術比率平均值..........45 表4.4 各群組國家1993-2007共同減碳成本、群組減碳成本及共同技術比率平均值..........52 表4.5 各群組國家1993-2007共同效率、群組效率及共同技術比率變動率平均值..........60 表4.6 各國1993-2007年間共同減碳成本、群組減碳成本及共同技術比平均變動率..........62 表4.7 各群組國家減碳成本節省金額、減碳成本改善空間及技術效率進步空間..........68 表4.8 減碳成本決定因子估計結果..........74 圖目錄 圖2.1 方向產出距離函數與邊際減量成本關係..........10 圖2.2 共同生產邊界模型..........14 圖2.3 共同成本邊界模型..........16 圖2.4 群組技術效率與共同技術效率..........17 圖2.5 技術效率、共同技術比以及減碳成本、共同技術成本比之關係..........18 圖3.1 勞動力與GDP及CO2排放關係..........28 圖3.2 資本形成與GDP及CO2排放關係..........29 圖3.3 能源使用與GDP及CO2排放關係..........29 圖3.4 100國於1993-2007年人均年所得與各國2009-2010年之技術競爭力之關係..........31 圖3.5 100國於1993-2007年石化能源使用強度與各國2009-2010年之技術競爭力之關係..........32 圖3.6 100國於1993-2007年石化能源使用強度與各國2009-2010年之技術競爭力之關係..........33 圖3.7 100國於1993-2007年石化能源使用強度與各國2009-2010年之技術競爭力之關係..........34 圖4.1 各國家群組投入產出要素1993-2007歷年之變動..........43 圖4.2 100國於1993-2007年間平均共同效率及群組效率..........47 圖4.3 100國於1993-2007年間平均共同邊界減碳成本及群組邊界減碳成本...........54 圖4.4 100國於1993-2007年間共同技術比及共同技術成本比..........55 圖4.5 高技術競爭力國家MTR及MTCR與減碳成本節省關係..........69 圖4.6 中高技術競爭力國家MTR及MTCR與減碳成本節省關係..........70 圖4.7 中技術競爭力國家MTR及MTCR與減碳成本節省關係..........71 圖4.8 中低技術競爭力國家MTR及MTCR與減碳成本節省關係..........72 圖4.9 低技術競爭力國家MTR及MTCR與減碳成本節省關係..........72 | |
| dc.language.iso | zh-TW | |
| dc.subject | 影子價格模型 | zh_TW |
| dc.subject | 方向性距離函數 | zh_TW |
| dc.subject | 經濟成本 | zh_TW |
| dc.subject | 全球競爭力報告書 | zh_TW |
| dc.subject | 共同邊界分析架構 | zh_TW |
| dc.subject | 共同技術比 | zh_TW |
| dc.subject | directional distance function | en |
| dc.subject | meta-technology ratio | en |
| dc.subject | meta-frontier analysis | en |
| dc.subject | global completeness report | en |
| dc.subject | economic cost | en |
| dc.subject | shadow price model | en |
| dc.title | 二氧化碳減量共同技術成本比之建構--考量經濟發展及CO2排放之跨國技術比較 | zh_TW |
| dc.title | Construction of Meta-technology Cost Ratio-- The Comparison of Technology Across Countries under Economic Development and Emission of CO2 | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張四立(Ssu-li Chang),廖肇寧(Chao-Ning Liao) | |
| dc.subject.keyword | 方向性距離函數,影子價格模型,經濟成本,全球競爭力報告書,共同邊界分析架構,共同技術比, | zh_TW |
| dc.subject.keyword | directional distance function,shadow price model,economic cost,global completeness report,meta-frontier analysis,meta-technology ratio, | en |
| dc.relation.page | 156 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-07-20 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 農業經濟學研究所 | zh_TW |
| 顯示於系所單位: | 農業經濟學系 | |
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