REFERENCES. 8. Beasley J.E. (1995), Determining Teaching and Research Efficiencies, Journal of Operational Research Society, Vol. 46, pp

Transcription

1 117 REFERENCES 1. Agrell P.J., Peter Bogetoft and Jorgen Tind (2005), DEA and Dynamic Yardstick Competition in Scandinavian Electricity Distribution, Journal of Productivity Analysis, Vol. 23, pp Anderson P. and Peterson N.C. (1993), A procedure for ranking efficient units in data envelopment analysis, Managerial Science, Vol. 39, No.10, pp Anil Pahwa, Feng X. and Lubkeman D. (2002), Performance evaluation in electric distribution utilities based on data envelopment analysis, IEEE transaction on Power System, Vol. 17, No.3, pp Athanassopoulos A.D. and Ballantine J.A. (1995), Ratio and Frontier analysis for assessing corporate performance: Evidence from grocery industry in U.K, Journal of Operational Research Society, Vol. 46, No. 4, pp Athanassopoulos A.D., Lambroukos N. and Seiford L.M. (1999), Data Envelopment Scenario analysis for setting targets to electricity generating plants, European Journal of Operation Research, Vol. 115, pp Banker R.D., Charnes A. and Cooper W.W. (1984), Some models for estimating technical efficiency and scale efficiencies in data envelopment analysis, Management Science, Vol. 30, No. 9, pp Banker R.D., Hsihui Chang and Ram Natarajan (2007), Estimating DEA technical and allocative inefficiency using aggregate cost or revenue data, Journal of Production Analysis, Vol. 27, pp Beasley J.E. (1995), Determining Teaching and Research Efficiencies, Journal of Operational Research Society, Vol. 46, pp Beniamina Buzzo Margari, Fabrizio Erbetta, Carmelo Petraglia and Massimiliano Piacenza (2007), Regulatory and environmental effects on public transit efficiency: a mixed DEA-SFA approach, Journal of Regulation Economics, Vol. 32, pp

2 Blose J.E., Tankersley W.B. and Flyinh L.R. (2005), Managing Service Quality using DEA, QMU, Vol. 12, No. 2, pp Camanho A.S., Dyson R.G. (2006), Data Envelopment analysis and Malmquist indices for measuring group performance, Journal of Productivity analysis, Vol. 26, pp Caves D.W., Christensen L.R. and Diewert W.E. (1982), The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity, Econometrica, Vol. 50, pp Central Electricity Authority Website ( 14. Charnes A. and Cooper W.W. (1962), Programming with linear fractional functionals, Naval Research Logistics Quarterly, No. 9, pp Charnes A., Cooper W.W. and Rhodes E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research, Vol. 2, No. 6, pp Charnes A., Cooper W.W., Divine D., Ruefli T.W. and Thomas D. (1989), Comparison of DEA and existing ratio and regression system for effecting efficiency evaluations of regulated electric cooperatives in Texas, Res. Govern. Nonprofit account, Vol. 5, pp Chen-Fu Chien, Feng-Yu Lo and James T.L. (2003), Using DEA to Measure the Relative Efficiency of the Service Center and Improve Operation Efficiency Through Reorganization, IEEE Transactions on Power Systems, Vol. 18, No. 1, pp Chyan Yang and Wen-min Lu (2006), Assessing the performance and finding the benchmarks of the electricity distribution districts of Taiwan Power Company, IEEE Transaction on Power Systems, Vol. 21, No. 2, pp Cooper W.W., Lawrence M.S. and Karou Tone (2006), Data Envelopment Analysis:A comprehensive text with models, Applications, References and DEA solver software, Second Edition, Springer. 20. Cooper W.W., Seiford L.M., Karou Tone and Zhu J. (2007), Some models and measures for evaluating performances with DEA: past accomplishments and future prospects, Journal of Production Analysis, Vol. 28, pp

3 Debreu G. (1951), The coefficient of resource utilization, Econometrica, Vol. 19, pp Erwin W. and Alice O.N. (2003) Index Number Concepts, Measures and Decompositions of Productivity Growth, Journal of Productivity Analysis, Vol. 19, pp Eyup Basti and Ahmet Akin (2008), The Comparative Productivity of the Foreign-Owned Companies in Turkey: A Malmquist Productivity Index Approach, International Research Journal of Finance and Economics, Issue Fare R. and Lovell C.A.K. (1978), Measuring the Technical Efficiency of Production, Journal of Economic Theory, Vol. 19, pp Fare R., Grosskopf S. and Logan J. (1983), The relative efficiency of Illinois electric utilities, Res. Energy, Vol. 5, pp Fare R., Grosskopf S., Lindgren B. and Roos P. (1994), Productivity developments in Swedish hospitals: A Malmquist output index approach, In Charnes A., Cooper W.W., Lewin A.Y. and Seiford L.M. (eds.), Data envelopment Analysis, Theory, Methodology and application, Boston, Kluwer Academic Publishers. 27. Farrell M.J. (1957), The measurement of productive efficiency, Journal of the Royal Statistical Society, Vol. 120, No. 3, pp Feng-Yu Lo, Chen-Fu-Chien and Lin J.T. (2001), A DEA study to evaluate the relative efficiency and investigate the district reorganisation of the Taiwan Power Company, IEEE Transactions on Power System, Vol. 16, No.1,pp Førsund F.R., (1998), The Rise and Fall of Slacks: Comments on Quasi-Malmquist Productivity Indices, Journal of Productivity Analysis, Vol. 10, pp Frances X.F. and Patrick T.H. (1999), Projections onto Efficient Frontiers: Theoretical and Computational Extensions to DEA, Journal of Productivity Analysis, Vol. 11, pp Gerald Granderson (2006), Externalities, efficiency, regulation, and productivity growth in the U.S. electric utility industry, Journal of Production Analysis, No. 26, pp

4 Golany B. and Roll Y. (1989), The measurement of productive efficiency, Omega, International Journal of Management Science, Vol. 17, No. 3, pp Golany B., Roll Y. and Rybak D. (1994), Measuring Efficiency of power plants in Israel by data envelopment analysis, IEEE Transaction on Eng. Manage, Vol. 41, No. 3, pp Grifell-tatje E., Lovell C.A.K. and Pastor J.T. (1998), A Quasi- Malmquist Productivity Index, Journal of Productivity Analysis, Vol. 10, pp Gu Lser Ko Ksali and Burak Nalc (2006), The relative efficiency of departments at a Turkish engineering college: A data envelopment analysis, Higher Education, Vol. 51, pp Herbert F.L. and Thomas R.S. (2004), Data Envelopment Analysis with Reverse Inputs and Outputs, Journal of Productivity Analysis, No. 21, pp Hosseinzadeh Lotfi F. and Vaez Ghasemi M. (2007), Malmquist Productivity Index on Interval Data in Telecommunication Firms, Application of Data Envelopment Analysis, Applied Mathematical Sciences, Vol. 1, No. 15, pp Jamsab T. and Pollitt M. (2001), Benchmarking and regulation of Electricity distribution and Transmission utilities: Lesson from international experience, Utilities policy, Vol. 9, pp Jill Johnes (2006), Efficiency and productivity change in the English higher education sector from 1996/97 to 2002/03, Lancaster University Management School Working Paper, 2006/ Karou Tone and Biresh K.S. (2005), Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis, Elsevier Socio-economic Planning Sciences, Vol. 39, pp Koopmans T.C. (1951), Analysis of production efficient combination of activities, in T.C. Koopmans edition, Wiley, New York. 42. Korhonen P.J. and Mikko J.S. (2003), Evaluation of Cost Efficiency in Finnish Electricity Distribution, Annals of Operations Research, No. 121, pp

5 Korhonen P.J. and Mikulas Luptacik (2004), Eco - efficiency Analysis of power plants: An extension of data envelopment analysis, European Journal of Operational Research, Vol. 154, pp Lassila Jukka,Vijainen Satu, Honkapuro Samulli and Partanen Jarmo (2003), Data Envelopment Analysis in the Benchmarking of Electricity Distribution companies, CIRED, 17 th International conference on Electricity Distribution. 45. Lewin A.Y., Morey R.C. and Cook T.J. (1982), Evaluating the administrative efficiency of courts, Omega, International Journal of Management Science, Vol. 10, pp Li X.B. and Reeves G.R. (1999), A multiple criteria approach to data envelopment analysis, European Journal of Operation Research, Vol. 115, pp Maria Conceicao A., Silva Portelal and Emmanuel Thanassoulis (2006), Malmquist indexes using a geometric distance function (GDF). Application to a sample of Portuguese bank branches, Journal of Production Analysis, Vol. 25, pp Meimand M., Cavana R.Y. and Laking R. (2002), Using DEA and survival analysis for measuring performance of branches in New Zealand s accident compensation corporation, Journal of Operational Research Society, Vol. 53, No.3, pp Mette Asmild, Joseph C.P., Vanita Aggarwall and Claire Schaffnit (2005), Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry, Journal of Productivity Analysis, Vol. 21, pp Miliotis P.A. (1992), Data Envelopment analysis applied to electricity distribution districts, Journal of Operation Research Society, Vol. 43, No. 5, pp Ministry of Power, Government of India Website ( nic.in). 52. Norman M. and Stoker B. (1991), Data Envelopment Analysis: The assessment of performance, Wiley, New York.

6 Park S.U. and Lesourd J.B. (2000), The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and nonparametric approaches, International Journal of Production Economics, Vol. 63, pp Pollitt M (1995), Ownership and performance in Electric Utilities, Oxford University Press,Oxford. 55. Puneet Chitkara (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, Vol. 14, No.2, pp Quey-Jen Yeh (1996), The Application of Data Envelopment Analysis in conjunction with Financial ratios for bank performance evaluation, Journal of Operational Research Society, Vol. 47, pp Ramanathan R. (2003), An introduction to Data Envelopment Analysis - A tool for performance measurement, Sage Publications, New Delhi. 58. Raul Sanheuza, Hugh Rudnick and Hector Lagunas (2004), DEA efficiency for the determination of the Electric Power distribution added value, IEEE transactions on Power System, Vol. 19, No. 2, pp Rikard Althin (2001), Measurement of productivity changes: Two Malmquist Index approaches, Journal of Productivity Analysis, Vol. 16, pp Seiford M. and Zhu J. (2002), Modeling undesirable factors in efficiency evaluation, European Journal of Operations Research, Vol. 142, pp Smith P. and Mayston D. (1996), Measuring the efficiency in the public sector, Omega, International Journal of Management, Vol. 20, pp Subash C.R. (2006), Data Envelopment Analysis : Theory and Techniques for Economics and Operations Research, Cambridge University Press. 63. Sueyoshi T. (1991), Estimation of Stochastic Frontier cost function using DEA: an application to the AT&T Divestiture, Journal of Operational Research Society, Vol. 42, pp

7 Sueyoshi T. (1999), Tariff structure of Japanese electric power companies: An empirical analysis using DEA, European Journal of Operation Research, Vol. 118, pp Tanure J.E.Pd.S, Tahan C.M.V. and Lima J.E.M (2006), Establishing quality performance of distribution companies based on yardstick regulation, IEEE transactions on Power System, Vol.21, No.3, pp TERI Energy Directory and Data Year Book 2004/05, 2005/ Thrall R.M. (2000), Measures in DEA with an Application to the Malmquist Index, Journal of Productivity Analysis, Vol. 13, pp Torgersen A.M., Forsund F.R. and Kittelsen A.C. (1996), Slack adjusted efficiency measures and ranking of efficient units, Journal of Production Analysis, Vol. 7, pp Tripta Thakur (2005), Efficiency and benchmarking studies for the Indian electric utilities using Data Envelopment Analysis, North American Power Symposium (NAPS), Iowa state university, Iowa, U.S.A. 70. Tripta Thakur, Deshmukh S.G. and Kaushik S.C. (2006), Efficiency Evaluation of the State Owned Electric Utilities in India, Energy Policy, Vol. 34, No. 17, pp Valter Boljuncic (2006), Sensitivity analysis of an efficient DMU in DEA model with variable returns to scale (VRS), Journal of Productivity Analysis, Vol. 25, pp Xie Bai-chen and Wu Yu-hua (2007), Evolvement of Malmquist Index Study: the case of Chinese Iron and Steel Industry, IEEE Transactions on Power System, pp Zhu Joe (2000), Multi-factor performance measure model with an application fortune 500 companies, European Journal of Operational Research, Vol. 123, No. 1, pp Zhu Joe (2003), Quantative models for performance evaluation and benchmarking: Data Envelopment Analysis with spreadsheets and DEA excel solver, Springer.