臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：中國各地區能源環境效率分析-非意欲產出模型之應用
作者：楊雯如 引用關係
作者(外文)：Wen-Ju YANG
校院名稱：東吳大學
系所名稱：經濟學系
指導教授：邱永和
學位類別：博士
出版日期：2010
主題關鍵詞：總要素能源生產力；非意欲產出；資料包絡分析法；差額變數效率分析；整體技術效率；能源效率；排放效率；Total factor energy efficiency；undesirable output；data envelopment analysis；slacks-based measure of efficiency；total technical efficiency；energy efficiency；emission efficiency
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:36
要素投入是經濟成長之前提條件，當其他的投入要素都具備時，必須有能源為其提供動力才可進行生產。自1992年後中國面臨能源消費量大於生產量的情況，同時期中國正處於經濟成長的階段，對能源需求殷切，身為全球第二大能源消費國的中國必須更審慎使用能源，朝高成長、低耗能模式邁進；然而國際間對環境保護之重視，使中國欲躋身已開發之列必須強調低污染的發展，因此能源-經濟-環境之平衡發展為中國經濟政策的重要議題。本研究主要在計算2000～2007年期間中國之效率表現，者作為能源效率指標，從經濟生產觀點修正Hu and Wang（2006）提出的總要素能源生產力指標 (total factor energy efficiency, TFEE)，考慮非意欲產出（工業二氧化硫、生活二氧化硫、工業煙塵、生活煙塵和工業粉塵等）的影響，利用資料包絡分析法（data envelopment analysis, DEA）不需要進行額外假設，且可處理多產出、多投入之特性，採用差額變數效率分析模型 (slacks-based measure of efficiency, SBM) 進行中國30個地區的效率分析，不僅討論中國30個地區的整體技術效率、能源效率，並延伸探討排放效率。本研究主要發現如下：1.當模型加入非意欲產出之考量後，中國的整體技術效率、能源與環境效率呈現更顯著的下降趨勢，此結果吻合「外部成本」之經濟直觀，驗證能源消費之聯合產出—廢氣污染，將帶來社會成本增加並導致效率值降低。2.分析中國能源節省與減排政策之施行成效，得到中國的節能效率和減排效率均呈現下滑的趨勢，其中減排效率不僅下滑且表現相對低落，而且隨研究時間拉長，節能效率和減排效率間的差距日益增加。3.各地區的能源效率表現中，以東部地區表現最佳，而且東部地區的排放表現相對其他地區較佳。4.中國廢氣排放污染項目中以工業二氧化硫的排放效率最高（0.603），生活煙塵的排放效率最差（0.328），中國必須依各地區特性執行減排政策，以達到污染物排放總量削減的任務。5.在本研究期間上海和廣東不僅有高所得與高經濟成長，而且在能源和排放績效上都達到效率，獲得能源-經濟-環境三贏的局面。6. 西部地區的內蒙古、重慶、四川、貴州、雲南、陝西、甘肅、青海、寧夏和新疆等地，在能源節省與廢氣減排上呈現雙重低落的情形。7.在廢氣排放減量上，生活廢氣的排放效率都低於工業廢氣的排放，說明中國需要再加強民眾對於環境保護之重視。
Energy is the significant input factor to upgrade the economic growth. China has faced the energy consumption greater than production since 1992. As being the second biggest energy consumption country, China needs to be cautious with the usage of energy sources and achieve the high growth and low energy consumption. Moreover, with the value of environmental protection arose internationally, the balance among energy, economy and environment becomes the important issue in China’s economic policies. In this research, we focus on the efficiency performance during the period of 2000 to 2007 in China in order to determine the energy efficiency. Utilize DEA model and consider three inputs (labor, real capital stock and total energy consumption), one desirable output (real GDP) and five undesirable outputs factors (SO2 emission by industry, SO2 emission by consumption, industrial soot emission, consumption soot emission and industrial dust emission) in SBM analysis to discuss the efficiency performance in 30 regions in China which includes total technical efficiency, energy efficiency and emission efficiency.
The findings of this research are as below,
1.When undesirable outputs are considered to measure the efficiency, there is a downward tendency in technical, energy and environmental efficiency. And this result corresponds with the concept of external costs, to explain the outputs of energy consumption (pollutions from waste gas) lead to the increase in social cost and decrease in efficiency.
2.It shows slack energy-saving and emission efficiency in China. Especially, the emission efficiency drops further than the other with time elapses.
3.Comparing the efficiency performance in each region; the eastern area shows better result.
4.In the ranking of waste gas emissions, SO2 emission efficiency by industry is selected as the highest item in 0.603, soot emission efficiency by consumption is regarded as the last in 0.328. Therefore, China has to conduct policies to diminish pollution emissions.
5.Shanghai and Guangdong have high income and economic growth. In addition, both are rated brilliant performances in energy efficiency and emission efficiency.
6.In western region, Inner Mongolia, Chongqing, Sichuan, Guizhou, Yunnan, Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang all present the poor performances in energy-saving and waste gas emissions reducing.
7.According to waste gas emissions from consumption are lower than from industry, it is suggested that China need to educate its people in environmental protection issue.
國家統計局，中國能源統計年鑑（1990-2004），北京：中國統計出版社，1991-2005。
國家統計局，中國環境統計年鑑（1990-2007），北京：中國統計出版社，1991-2008。
國家統計局，中國區域經濟統計年鑑（2004-2007），北京：中國財政經濟出版社，2005-2008。
國家統計局，中國統計年鑑（1990-2008），北京：中國統計出版社，1991-2009。
《中國經濟貿易年鑑》編委會，中國經濟貿易年鑑（2004-2006），北京：中國統計出版社，2005-2007。
《中國能源發展報告》編委會，中國能源研究報告—區域篇，北京：中國統計出版社，2005。
景體華主編，中國區域經濟發展報告（2005），北京：社會科學文獻出版社，2006。
戚本超、景體華主編，中國區域經濟發展報告（2007），北京：社會科學文獻出版社，2008。
蔡昉、林毅夫著，中國經濟，台北：美商麥格羅 • 希爾，2005。
陳明健編，自然資源與環境經濟學：理論基礎和本土案例分析，台北：雙葉書廊，2003。
Abbott, M. (2005), “Determining levels of productivity and efficiency in the electricity industry,” Electricity Journal, 18(9), 62-72.
Abbott, M. (2006), “ The productivity and efficiency of the Australian electricity supply industry,” Energy Economics, 28, 444-545.
Afriat, S. (1972), “ Efficiency estimation of production functions,” International Economic Review, 13, 568-598.
Agrell, P.J. and P. Bogetoft (2005), “ Economic and environmental efficiency of district heating plants,” Energy Policy, 33, 1351-1362.
Allen, R., A. Athanassopoulos, R.G. Dyson and E. Thanassoulis (1997), “Weights restrictions and value judgements: Evolution, development and future directions,” Annals of Operations Research, 73, 13-34.
Ang, B.W. (2004), “Decomposition analysis for policymaking in energy: Which is the preferred method ?,” Energy Policy, 32, 1131-1139.

Ang, B.W. (2006), “Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index,” Energy Policy, 34, 574-582.
Ang, B.W. and F.Q. Zhang (2000), “A survey of index decomposition: Analysis in energy and environmental studies,” Energy, 25, 1149-1176.
Arcelus, F.J. and P. Arocena (2005), “Productivity differences across OECD countries in the presence of environmental constraints,” Journal of the Operational Research Society, 56, 1352-1362.
Athanassopoulos, A.D., N. Lambroukos, and L. Seiford (1999), “Data envelopment scenario analysis for setting targets to electricity generating plants,” European Journal of Operational Research, 115, 413-428.
Bagdadioglu, N., C.M.W. Price and T.G. Weyman-Jones (1996), “Efficiency and ownership in electricity distribution: A non-parametric model of the Turkish experience,” Energy Economics, 18, 1-23.
Banker, R.D. (1993), “Maximum likelihood, consistency and data envelopment analysis: A statistical foundation,” Management Science, 39, 1265-1273.
Banker, 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.
Banker, R.D. and R.C. Morey (1986a), “Efficiency analysis for exogenously fixed inputs and outputs,” Operations Research, 34, 513-521.
Banker, R.D. and R.C. Morey (1986b), “The use of categorical variables in data envelopment analysis,” Management Science, 32, 1613-1627.
Barla, P. and S. Perelman (2005), “Sulphur emissions and productivity growth in industrialized countries,” Annals of Public and Cooperative Economics, 76, 275-300.
Bevilacqua, M. and M. Braglia (2002), “Environmental efficiency analysis for ENI oil refineries,” Journal of Cleaner Production, 10, 85-92.
Boyd, G.A. and J.D. McClelland (1999), “The impact of environmental constraints on productivity improvement in integrated paper plants,” Journal of Environmental Economics and Management, 38, 121-142.
Boyd, G.A. and J. Pang (2000), “Estimating the linkage between energy efficiency and productivity,” Energy Policy, 28, 289-296.
Boyd, G.A., G. Tolley and J. Pang (2002), “Plant level productivity, efficiency, and environmental performance of the container glass industry,” Environmental and Resource Economics, 23, 29-43
Brannlund, R., Y.H. Chung, R. Färe and S. Grosskopf (1998), “Emissions trading and profitability: The Swedish pulp and paper industry,” Environmental and Resource Economics, 12, 345-256.
Byrnes, P., R. Färe and S. Grosskopf (1984), “Measuring productivity efficiency: An application to Illinois strip mines,” Management Science, 30, 671-681.
Byrnes, P., R. Färe, S. Grosskopf and C.A.K. Lovell (1988), “The effect of unions on productivity: US surface mining of coal,” Management Science, 34, 1037-1053.
Callens, I. and D. Tyteca (1999), “Towards indicators of sustainable development for firms: A productive efficiency perspective,” Ecological Economics, 28, 41-53.
Caves, D.W., L.R. Christensen and W.E. Diewert (1982), “Multilateral comparisons of output, inuput and productivity using index numbers,” Economic Journal, 92, 73-86.
Charnes, A., W.W. Cooper and E. Rhodes (1978), “Measuring the efficiency of decision making units,”European Journal of Operational Research, 2, 429-444.
Chauhan, N.S., P.K.J. Mohapatra and K.P. Pandey (2006), “Improving energy productivity in paddy production through benchmarking – an application of data envelopment analysis,” Energy Conversion and Management, 47, 1063-1085.
Chien, C.F., F.Y. Lo and J.T. Lin (2003), “Using DEA to measure the relative efficiency of the service center and improve operation efficiency through reorganization,” IEEE Transactions on Power Systems, 18, 366-373.
Chitkara, P. (1999), “A data envelopment analysis approach to evaluation of operational inefficiencies in power generating units: A case study of Indian power plants,” IEEE Transactions on Power Systems, 14, 419-425.


Chung, Y.H., R. Färe, and S. Grosskopf (1997), “Productivity and undesirable outputs: A directional distance function approach,” Journal of Environmental Management, 51, 229-240.
Claggett Jr.E.T. and G.D. Ferrier (1998), “The efficiency of TVA power distributors,” Managerial and Decision Economics, 19, 365-376.
Cook, W.D. and R.H. Green (2005), “Evaluating power plant efficiency: A hierarchical model,” Computers & Operations Research, 32, 813-823.
Cooper, W.W., L.M. Seiford and T. Tone (2006), Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References. Springer, New York.
Cooper, W.W., L.M. Seiford and J. Zhu (2004), Data Envelopment Analysis: History, Handbook on Data Envelopment Analysis, Kluwer Academic Publishers. Boston.
Criswell, D.R. and R.G. Thompson (1996), “Data envelopment analysis of space and terrestrially-based large scale comercial power systems for earth: A prototype analysis of their relative economic advantages,” Solar Energy, 56, 119-131.
Dyckhoff, H. and K. Allen (2001), “Measuring ecological efficiency with data envelopment analysis (DEA),” European Journal of Operational Research, 132, 312-325.
Dyson, R.G., R. Allen, A.S. Camanho, V.V. Podinovski, C.S. Sarrico and E.A. Shale (2001), “Pitfalls and protocols in DEA,” European Journal of Operational Research, 132, 242-259.
Dyson, R.G. and E. Thanassoulis (1988), “Reducing weight flexibility in data envelopment analysis,” Journal of the Operational Research Society, 39, 563-576.
Edvardsen, D.F. and F.R. Førsund (2003), “International benchmarking of electricity distribution utilities,” Resource and Energy Economics, 25, 353-371.
Färe, R. and S. Grosskopf (2004), ”Modeling undesirable factors in eficiency evaluation: Comment,” European Journal of Operational Research, 157, 242-245.

Färe, R., S. Grosskopf and F. Hernandez-Sancho (2004), “Environmntal performance: Anindex number approach,” Resource and Energy Economics, 26, 343-352.
Färe, R., S. Grosskopf, B. Lindgren, and P. Roos (1994a), “Produc tivity developments in Swedish hospitals: A Malmquist output index approach,” in Data Envelopment Analysis: Theory, Methodology and Applications, edited by Charnes, A., Cooper, W.W., Lwein, A.Y., Seiford, L.M., 253-272. Kluwer Academic Publishers, Boston.
Färe, R., S. Grosskopf, and J. Logan (1983), “The relative efficiency of Illinois electric utilities,” Resources and Energy, 5, 349-367.
Färe, R., S. Grosskopf, and J. Logan (1985), “The relative performance of publicly-owned and privately-owner electric utilities,” Journal of Public Economics, 26, 89-106.
Färe, R., S. Grosskopf, and C.A.K. Lovell (1994b), Production Frontiers. Cambridge University Press, Cambridge.
Färe, R., S. Grosskopf, C.A.K. Lovell and C. Pasurka (1989), “Multiateral productivity comparisons when some outputs are undesirable: A nonparametric approach,” Review of Economics and Statistics, 71, 90-98.
Färe, R., S. Grosskopf, D. Noh and W. Weber (2005), “Characteristics of a polluting technology: Theory and practice,” Journal of Econometrics, 126, 469-492.
Färe, R., S. Grosskopf and C. Pasurka (1986), “Effects on relative efficiency in electric power generation due to environmental controls,” Resources and Energy, 8, 167-184.
Färe, R., S. Grosskopf and Jr.C.A. Pasurka (2001), “Accounting for air pollution emissions in measures of state manufacturing productivity growth,” Journal of Regional Science, 41, 381-409.
Färe, R., S. Grosskopf and P. Roos (1998), Malmquist Productivity Indexes: A Survey of Theory and Practice. Kluwer Academic Publishers, Boston, 127-190.
Färe, R., S. Grosskopf and D. Tyteca (1996), “An activity analysis model of the environmental performance of firms – application to fossil-fuel-fired electric utilities,” Ecological Economics, 18, 161-175.

Färe, R., S. Grosskopf, S. Yaisawarng, S.K. Li and Z.P. Wang (1990), “Productive growth in Illinois electric utilities,” Resources and Energy, 12, 383-398.
Farrell, M.J. (1957), “The measurement of productive efficiency,” Journal of the Royal Statistical Society, Series A (General) 120, 253-281.
Ferrier, G.D. and J.G. Hirschberg (1992), “Climate control policy,” Energy Journal, 13, 37-54.
Førsund, F.R. and S.A.C. Kittelsen (1998), “Productivity development of Norwegian electricity distribution utilities,” Resource and Energy Economics, 20, 207-224.
Førsund, F.R. and N. Sarafoglou (2002), “On the origins of data envelopment analysis,” Journal of Productivity Analysis, 17, 23-40.
Førsund, F.R. and N. Sarafoglou (2005), “The tale of two research communities: The diffusion of research on productive efficiency,” International Journal of Production Economics, 98, 17-40.
Giannakis, D., T. Jamasb and M. Pollitt (2005), “Benchmarking and incentive regulation of quality of service:-An application to the UK electricity distribution networks,” Energy Policy, 33, 2256-2271.
Golany, B. and Y. Roll (1989), “An application procedure for DEA,” Omega 17, 237-250.
Golany, B., Y. Roll and D. Rybak (1994), “Measuring efficiency of power plants in Israel by data envelopment analysis,’ IEEE Transactions on Engineering Management, 41, 291-301.
Goto, M. and M. Tsutsui (1998), “Comparision of productive and cost efficiencies among Japanese and US electric utilities,” Omega, 26, 177-194.
Hattori, T., T. Jamasb, and M. Pollitt (2005), “Electricity distribution in the UK and Japan: A comparative efficiency analysis 1985-1998,” Energy Journal, 26, 23-47.
Hawdon, D. (2003), “Efficiency, performance and regulation of the international gas industry – a bootstrap DEA approach,” Energy Policy, 31, 1167-1178.
Haynes, K.E., S. Ratick and J. Cummings-Saxton (1994), “Toward a pollution abatement monitoring policy: Measurements, model mechanics, and data requirements,” Environmental Professional, 16, 292-303.

Hernandez-Sancho, F., A.J. Picazo-Tadeo and E.Reig-Martinez (2000), “Efficiency and environmental regulation,” Environmental and Resource Economics, 15, 365-378.
Hjalmarsson, L. and A. Veiderpass (1992), “Productivity in Swedish electricity retail distribution,” Scandinavian Journal of Economics, 94, 193-205.
Hu, J.L. and C.H. Kao (2007), “Efficient energy-saving targets for APEC economies,” Energy Policy, 35, 373-382.
Hu, J.L. and S.C. Wang (2006), “Total-factor energy efficiency of regions in China,” Energy Policy, 34, 3206-3217.
Huang, J.P., K.L. Poh and B.W. Ang (1995), “Decision analysis in energy and environmental modeling,” Energy, 20, 843-855.
Jamasb, T., P. Nillesen and M. Pollitt (2004), “Strategic behaviour under regulatory benchmarking,” Energy Economics, 26, 825-843.
Jamasb, T. and M. Pollitt (2001), “Benchmarking and regulation: International electricity experience,” Utilities Policy, 9, 107-130.
Jamasb, T. and M. Pollitt (2003), “International benchmarking and regulation: An application to European electricity distribution utilities,” Energy Policy, 31, 1609-1622.
Jebaraj, S. and S. Iniyan (2006), “A review of energy models. Renewable and Sustainable,” Energy Reviews, 10, 281-311.
Kashani, H.A. (2005a), “State intervention causing inefficiency: An empirical analysis of the Norwegian Continental Shelf,” Energy Policy, 33, 1988-2009.
Kashani, H.A. (2005b), “Regulation and efficiency: An empirical analysis of the United Kingdom continental shelf petroleum industry,” Energy Policy, 33, 915-925.
Korhonen, P.J. and M. Luptacik (2004), “Eco-efficiency analysis of power plants: An extension of data envelopment analysis,” European Journal of Operational Research, 154, 437-446.
Korhonen, P.J. and M.J. Syrjanen (2003), “Evaluation of cost efficiency in Finnish electricity distribution,” Annals of Operations Research, 121, 105-122.
Kulshreshtha, M. and J.K. Parikh (2002), “Study of efficiency and productivity growth in opencast and unsergroud coal mining in India: A DEA analysis,” Energy Economics, 24, 439-453.

Kumar, S. (2006), “Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index,” Ecological Economics, 56, 280-293.
Lam, P.L. and A. Shiu (2001), “A data envelopment analysis of the efficiency of China’s thermal power generation,” Utilities Policy, 10, 75-83.
Liang, L., D. Wu and Z. Hua (2004), “MES-DEA modeling for analyzing anti-industrial pollution efficiency and its application in Anhui province of China,” International Journal of Global Energy Issues, 22, 88-98.
Lo, F.Y., C.F. Chien and J.T. Lin (2001), “A DEA study to evaluate the relative efficiency and investigate the district reorganization of the Taiwan power company,” IEEE Transactions on power Systems, 16, 170-178.
Loken, E. (2007), “Use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable,” Energy Reviews, 11, 1584-1595.
Miliotis, P.A. (1992), “Data envelopment analysis applied to electricity distribution districts,” Journal of the Operational Research Society, 43, 549-555.
Munksgaard, J., L.L. Pade and P. Fristrup (2005), “Efficiency gains in Danish district heating. Is there anything to learn from benchmarking?,” Energy Policy, 33 1986-1997.
Murllo-Zamorano, L.R. (2005), “The role of energy in productivity growth: A controversial issue?,” Energy Journal, 26, 69-88.
Nag, B. (2006), “Estimation of carbon baselines for power generation in India: The supply side approach,” Energy Policy, 34, 1399-1410.
Olatubi, W.O. and D.E. Dismukes (2000), “A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance,” Utilities Policy, 9, 47-59.
Onut, S. and S. Soner (2006), “Energy efficiency assessment for the Antalya Region hotels in Turkey,” Energy and Buildings, 38, 964-971.
Oude Lansink, A. and I. Bezlepkin (2003), “The effect of heating technologies on CO2 and energy efficiency of Dutch greenhouse firms,” Journal of Environmental Management, 68, 73-82.
Oude Lansink, A.and E. Silva (2003), “CO2 and energy efficiency of different heating technologies in the Dutch glasshouse industry,” Environmental and resource economics, 24, 395-407.
Pacudan, R. and E. de Guzman (2002), “Impact of energy efficiency policy to productive efficiency of electricity distribution industry in the Philippines,” Energy Economics, 24, 41-54.
Pahwa, A., X. Feng and D. Lubkeman (2002), “Performance evaluation of electric distribution utilities based on data envelopment analysis,” IEEE Transactions on Power Systems, 17, 400-405.
Park, S.U. and J.B. Lesourd (2000), “The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and non-parametric approaches,” International Journal of Production Economics, 63, 59-67.
Pasurka JR., C.A. (2006), “Decomposing electric power plant emissions within a joint production framework,” Energy Economics, 28, 26-43.
Picazo-Tadeo, A.J., E. Reig-Martinez and F. Hernandez-Sancho (2005), “Directional distance functions and environmental regulation,” Resource and Energy Economics, 27, 131-142.
Podinovski, V.V. (1999), “Side effects of absolute weight bounds in DEA models,” European Journal of Operational Research, 115, 583-595.
Podinovski, V.V. (2001), “Validating absolute weight bounds in Data Envelopment Analysis (EDA) models,” Journal of the Operational Research Society, 52, 221-225.
Pollitt, M.G. (1996), “Ownership and efficiency in nuclear power production.” Oxford Economic Papers, 48, 342-360.
Pombo, C. and R. Taborda (2006), “Performance and efficiency in Columbia’s power distribution system: Effects of the 1994 reform,” Energy Economics, 28, 339-369.
Price, C.W. and T. Weyman-Jones (1996), “Malmquist indices of productivity change in the UK gas industry before and after privatization,” Applied Economics, 28, 29-39.
Raczka, J. (2001), “Explaining the performance of heat plants in Poland,” Energy Economics, 23, 355-370.
Ramanathan, R. (2000), “A holistic approach to compare energy efficiencies of different transport modes,” Energy Policy, 28, 743-747.
Ramanathan, R. (2001), “Comparative risk assessment of energy supply technologies: A data envelopment analysis approach,” Energy, 26, 197-203.

Ramanathan, R. (2002), “Combing indicators of energy consumption and CO2 emissions: A cross-country comparison,” International Journal of Global Energy Issues, 17, 214-227.
Ramanathan, R. (2003), An Introduction to Data Envelopment Analysis: A Tool for Performance Measurement. New Delhi: Sage Publications.
Ramanathan, R. (2005a), “An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa,” Energy, 30, 2831-2842.
Ramanathan, R. (2005b), “Estimating energy consumption of transport modes in India using DEA and application to energy and environmental policy,” Joumal of the Operational Research Society, 56, 732-737.
Resende, M. (2002), “Relative efficiency measurement and prospects for yardstick competition in Brazilian electricity distribution,” Energy Policy, 30, 637-647.
Sanhueza, R., H. Rudnick and H. Lagunas (2004), “DEA efficiency for the determination of the electric power distribution added value,” IEEE Transactions on Power Systems, 19, 919-925.
Sarkis, J. and J. Weinrach (2001), “Using data envelopment analysis to evaluate environmentally conscious waste treatment technology,” Joumal of Cleaner Production, 9, 417-427.
Scheel, H. (2001), “Undesirable outputs in efficiency valuations,” European Journal of Operational Research, 132, 400-410.
Seiford, L.M. and R.M. Thrall (1900), “Recent developments in DEA: The mathematical programming approach to frontier analysis,” Journal of Econometrics, 46, 7-38.
Seiford, L.M. and J. Zhu (2002), “Modeling undesirable factors in efficiency evaluation,” European Journal of Operational Research, 142, 16-20.
Shephard, R.W. (1970), Theory of Cost and Production Functions. Princeton University Press, Princeton.
Simar, L. and P.W. Wilson (1998), “Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models,” Management Science, 44, 49-61.
Sueyoshi, T. (1999), “Tariff structure of Japanese electric power companies: An empirical analysis using DEA,” European Journal of Operational Research, 118, 350-374.
Sueyoshi, T.V. (2000), “Stochastic DEA for restructure strategy: An application to a Japanese petroleum company,” Omega, 28, 385-398.

Sueyoshi, T. and M. Goto (2001), “Slack-adjusted DEA for time series analysis: Performance measurement of Japanese electric power generation industry in 1984-1993,” European Journal of Operational Research, 133, 232-259.
Stewart, T.J. (1996), “Relationships between data nvelopment analysis and multicriteria decision analysis,” Journal of the Operational Research Society, 47, 654-665.
Thakur, T., S.G. Deshmukh and S.C. Kaushik (2006), “Efficiency evaluation of the state owned electric utilities in India,” Energy Policy, 34, 2788-2804.
Thompson, R.G., P.S. Dharmapala and R.M. Thrall (1955), “Linkedcone DEA profit rations and technical efficiency with application to Illinois coal mines,” International Journal of Production Economics, 39, 99-115.
Thompson, R.G., P.S. Dharmapala, L.J. Rothenberg and R.M. Thrall (1996), “DEA/AR efficiency and profitability of 14 major oil companies in US exploration and production,” Computers & Operations Research, 23, 357-373.
Thompson, R.G., E. Lee and R.M. Thrall (1992), “DEA/AR efficiency of US independent oil/gas producers ove time,” Computers & Operations Research, 19, 377-391.
Tone, K. (2001), “A slacks-based measure of efficiency in data envelopment analysis,” European Journal of Oprational Research, 130, 498-509.
Triantis, K. and P. Otis (2004), “Dominance-based measurement of productive and environmental performance for manufactureing,” European Journal of Operational Research, 154, 447-464.
Tyteca, D. (1996), “On the measurement of the environmental performance of firms – a literature review and a productive efficiency perspective,” Journal of Environmental Management, 46, 281-308.
Tyteca, D. (1997), “Linear programming models for the measurement of environmental performance of firms – concepts and empirical results,” Journal of Productivity Analysis, 8, 183-197.


Tyteca, D. (1998), “Sustainability indicators at the firm level: Pollution and resource efficiency as a necessary condition toward sustainability,” Joumal of Industrial Ecology, 2, 61-77.
Von Neumann, J. (1945), “A model of general economic equilibrium,” The Review of Economic Studies, 13, 1-9.
Weyman-Jones, T.G. (1991), “Productive efficiency in a regulated industry: The area electricity boards of England and Wales,” Energy Economics, 13, 116-122.
Yaisawarng, S and J.D. Klein (1994), “The effects of sulfur dioxide controls on productivity chane in the US electric power industry,” The Review of Economics and Statistics, 76, 447-460.
Yunos, J.M. and D. Hawdon (1997), “The efficiency of the National Electricity Board in Malaysia: An intercountry comparison using DEA,” Energy Economics, 19, 255-269.
Zaim, O. (2004), “Measuring environmental performance of state manufacturing through changes in pollution intensities: A DEA framework,” Ecological Economics, 48, 37-47.
Zaim, O. and F. Taskin (2000a), “Environmental efficiency in carbon dioxide emissions in the OECD: A non-parametric approach,” Journal of Environmental Management, 58, 95-107.
Zaim, O. and F. Taskin (2000b), “A Kuznets curve in environmental efficiency: An application on OECD countries,” Environmental and Resource Economics, 17, 21-36.
Zhang, Y. and B. Bartels (1998), “The effect of sample size on the mean efficiency in DEA with an application to electricity distribution in Australia, Sweden and New Zealand,” Journal of Productivity Analysis, 9, 187-204.
Zhou, P., B.W. Ang and K.L. Poh (2006a), “Decision analysis in energy and environmental modeling: An update,” Energy, 31, 2604-2622.
Zhou, P., B.W. Ang and K.L. Poh (2006b), “Slacks-based efficiency measures for modeling environmental performance,” Ecological Economics, 60, 111-118.
Zhou, P., B.W. Ang and K.L. Poh (2008), “A Survey of Data Envelopment Analysis in Energy and Environmental Studies,” European Journal of Operational Research, 189(1), 1-18.

Zhou, P., K.L. Poh and B.W. Ang (2007), “A non-radial DEA approach to measuring environmental performance,” European Journal of Operational Research, 178, 1-9.
Zhu, J. (1996), “Data envelopment analysis with preference structure,” Journal of the Operational Research Society, 47, 136-150.

Zofio, J.L. and A.M. Prieto (2001), “Environmental efficiency and regulatory standards: The case of CO2 emissions from OECD industries,” Resource and Energy Economics, 23, 63-83.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
:::
無相關書籍
 
無相關著作
 
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：994（臺灣：987，外國：7） ／ 本年度總使用人次：2042760 ／ 訪客人次（自102年09月）：67859876
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上