A cyber-Bibliography for Data Envelopment Analysis (1978--2005)

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Computers, Environment and Urban Systems 14, (2): 167-170.

Phillips, Fred Y., and John J. Rousseau. 1990. Efficiency analysis of a computer company's sales regions. In Papers and proceedings of applied geography conferences., 80-87Association of American Geographers.

Phillips, Fred Young, and John James Rousseau, eds. 1992.  Systems and management science by extremal methods.   . Boston: Kluwer Academic Publishers.

———. 1992. Appendix: Publications of A. charnes. In Systems and management science by extremal methods., 539-580. Boston: Kluwer Academic Publishers.

Phillips, Fred, and Sugandha D. Tuladhar. 2000. Measuring organizational flexibility: An exploration and general model. Technological Forecasting and Social Change 64, (1): 23.

Picazo Tadeo, Andres Jose. 1994. Analisis de la eficiencia productiva en la industria aseguradora espanola; analysis of the productive efficiency of the spanish insurance industry.Ph.D. dissertation, Universitat De Valencia (Spain); 5871.

Picot, Arnold, and Ekkehart Schlicht. 1997. Firms, markets and contracts : Contributions to neoinstitutional economics. Corr. 2nd print. ed. Heidelberg: Physica-Verlag.

———. 1996. Firms, markets and contracts : Contributions to neoinstitutional economics. Contributions to economics. Heidelberg: Physica-Verlag.

Pierce, Vern L. 1995. Empirical evidence of the factors leading to and the impact of quasi-vertical contracting in the united states hog industry.Ph.D. dissertation, University of Missouri - Columbia; 0133.

Piesse, J. 1996. Agricultural efficiency in south africa's former homelands: Measurement and implications. Development Southern Africa 13, : 399-413.

Piesse, Jenifer. 1996. The efficiency of smallholder agriculture in south africa. Journal of International Development 8, : 125-44.

Piesse, Jenifer, Tobias Doyer, Colin Thirtle, and Nick Vink. 2005. The changing role of grain cooperatives in the transition to competitive markets in south africa. Journal of Comparative Economics 33, (1): 197.

Pilateris, P., and B. McCabe. 2003. Contractor financial evaluation model (CFEM). Canadian Journal of Civil Engineering 30, : 487.

Pilateris, Peter. 2000. The evaluation of contractors based on financial data using data envelopment analysis.

Pille, Peter, and Joseph C. Paradi. 2002. Financial performance analysis of ontario (canada) credit unions: An application of DEA in the regulatory environment. European Journal of Operational Research 139, (2): 339.

Pina, Vicente, and Lourdes Torres. 2001. Analysis of the efficiency of local government services delivery. an application to urban public transport. Transportation Research Part A: Policy and Practice 35, (10): 929.

———. 1992. Evaluating the efficiency of nonprofit organizations: An application of data envelopment analysis to the public health service. Financial Accountability and Management 8, (3).

Piot-Lepetit, I., and P. Rainelli. 1996. Breathing room in farm management as determined by inefficiency measurements. Productions Animales 9, (5): 367-377.

Piot-Lepetit, Isabelle, and Dominique Vermersch. 1998. Pricing organic nitrogen under the weak disposability. Journal of Agricultural Economics 49, (1): 85-99.

Piot-Lepetit, Isabelle, Dominique Vermersch, and Robert D. Weaver. 1997. Agriculture's environmental externalities: DEA evidence for french agriculture. Applied Economics 29, : 331-338.

Pitaktong, U., Patrick L. Brockett, J. R. Mote, and J. J. Rousseau. 1998. Identification of pareto-efficient facets in data envelopment analysis. European Journal of Operational Research 109, (3): 559.

Pitaktong, Utai. 1993. Data envelopment analysis models and structures and their use in the management of army recruitment.Ph. D. dissertation, The University of Texas at Austin.

Pitocco, Christine, and Thomas R. Sexton. 2005. Alleviating blood shortages in a resource-constrained environment. Transfusion 45, : 1118.

Podinovski Victor, V., and School Warwick Business. 1999. DEA models with non-homogeneous weight restrictions. Research papers (warwick business school. research support office) ; no. 315. Coventry: Warwick Business School.

Podinovski, V. V. 2005. Selective convexity in DEA models. European Journal of Operational Research 161, (2): 552.

———. 2004. Bridging the gap between the constant and variable returns-to-scale models: Selective proportionality in data envelopment analysis. Journal of the Operational Research Society 55, : 265.

———. 2004. Local and global returns to scale in performance measurement. Journal of the Operational Research Society 55, : 170.

———. 2004. On the linearisation of reference technologies for testing returns to scale in FDH models. European Journal of Operational Research 152, (3): 800.

———. 2004. Production trade-offs and weight restrictions in data envelopment analysis. Journal of the Operational Research Society 55, : 1311.

———. 2004. Suitability and redundancy of non-homogeneous weight restrictions for measuring the relative efficiency in DEA. European Journal of Operational Research 154, (2): 380.

———. 2001. Validating absolute weight bounds in data envelopment analysis (DEA) models. Journal of the Operational Research Society 52, : 221.

———. 1999. Side effects of absolute weight bounds in DEA models. European Journal of Operational Research 115, (3): 583.

Podinovski, V. V., and Antreas D. Athanassopoulos. 1998. Assessing the relative efficiency of decision making units using DEA models with weight restrictions. Journal of the Operational Research Society 49, : 500.

Podinovski, Victor V. 2001. DEA models for the explicit maximisation of relative efficiency. European Journal of Operational Research 131, (3): 572.

———. 2001. Selective proportionality in DEA models. Research papers, warwick business school ; no.348. Coventry: Warwick Business School.

———. 2000. Weight restrictions and production trade-off in DEA models. Coventry: Warwick Business School.

Podinovski, Victor V., and Warwick Business School. 2002. Weight restrictions and radial measures of efficiency. Coventry: Warwick Business School.

———. 1999. Explicit maximisation of the relative efficiency in DEA. Coventry: Warwick Business School.

Podinovski, Victor, and School Warwick Business. 2002. Global scale characteristics in DEA. Warwick business school research papers ; no. 353.

Podinovskij, V. V., and O. V. Sterkhova. 1997. Models for estimating efficiency of decision making units using data envelopment analysis.

Pollitt, Michael. 1991. The relative performance of publicly owned and privately owned electric utilities: Some international evidence.M. Phil. thesis in Economics, Brasenose College.

Pollitt, Michael G. 1996. Ownership and efficiency in nuclear power production. Oxford Economic Papers 48, : 342-60.

Porembski, Marcus, Kristina Breitenstein, and Paul Alpar. 2005. Visualizing efficiency and reference relations in data envelopment analysis with an application to the branches of a german bank. Journal of Productivity Analysis 23, : 203.

Portela,M. C. A. Silva, E. Thanassoulis, and G. Simpson. 2004. Negative data in DEA: A directional distance approach applied to bank branches. Journal of the Operational Research Society 55, : 1111.

Porto, James V. 2000. Comparing the efficiency and effectiveness of substance abuse treatment programs using a two-stage data envelopment analysis.

Post, Gerrit Tjeerd. 1999. Finding the frontier : Methodological advances in data envelopment analysis. Rotterdam: Erasmus.

Post, Thierry. 2001. Estimating non-convex production sets - imposing convex input sets and output sets in data envelopment analysis. European Journal of Operational Research 131, (1): 132.

———. 2001. Transconcave data envelopment analysis. European Journal of Operational Research 132, (2): 374.

Post, Thierry, and Jaap Spronk. 1999. Performance benchmarking using interactive data envelopment analysis. European Journal of Operational Research 115, (3): 472.

Premachandra, I. M. 2001. A note on DEA vs principal component analysis: An improvement to joe zhu's approach. European Journal of Operational Research 132, (3): 553.

Premachandra, I. M., John G. Powell, and Jing Shi. 1998. Measuring the relative efficiency of fund management strategies in new zealand using a spreadsheet-based stochastic data envelopment analysis model. Omega 26, (2): 319.

Prieto, A. M., and J. L. ZofIo. 2001. Evaluating effectiveness in public provision of infrastructure and equipment: The case of spanish municipalities. Journal of Productivity Analysis 15, : 41.

Primont, Diane F., and Bruce Domazlicky. Student achievement and efficiency in missouri schools and the no child left behind act. Economics of Education Review In Press, Corrected Proof, .

Prior, D., and M. Sola. 2000. Technical efficiency and economies of diversification in health care. Health Care Management Science 3, : 299.

Prior, Diego. 2003. Long- and short-run non-parametric cost frontier efficiency: An application to spanish savings banks. Journal of Banking & Finance 27, (4): 655-71.

Prior, Diego, and Jordi Surroca. Strategic groups based on marginal rates: An application to the spanish banking industry. European Journal of Operational Research In Press, Corrected Proof, .

Proudlove, Nathan, and Management Manchester School of. 2000. Using excel for data envelopment analysis. Working paper (manchester school of management (university of manchester. institute of science & technology)) ; no. 2007. Manchester: Manchester School of Management UMIST.

Puig-Junoy, J. 1998. Measuring health production performance in the OECD. Applied Economics Letters 5, : 255.

———. 1998. Technical efficiency in the clinical management of critically ill patients. Health Economics 7, (3): 263-277.

Puig-Junoy, Jaume. 2000. Partitioning input cost efficiency into its allocative and technical components: An empirical DEA application to hospitals. Socio-Economic Planning Sciences 34, (3): 199.

Puttakul, Winai. 1994. Technical efficiency of area vocational-technical schools: An illustrative study of the application of data envelopment analysis (DEA).Ph.D. dissertation, University of Missouri - Columbia; 0133.

Puyenbroeck, T. V. 1998. Some remarks on modified FDH. Journal of Productivity Analysis 9, : 81.

Quaddus, M. A., and Muhammed Abu B. Siddique. 2004. Handbook of sustainable development planning : Studies in modelling and decision support. Cheltenham, UK ; Northhampton, MA: Edward Elgar Pub.

Raa, T. t., and P. Mohnen. 2002. Neoclassical growth accounting and frontier analysis: A synthesis. Journal of Productivity Analysis 18, : 111.

Raab, R. L., and R. W. Lichty. 2002. Identifying subareas that comprise A greater metropolitan area: The criterion of county relative efficiency. Journal of Regional Science 42, : 579.

Raab, Raymond, Pradeep Kotamraju, and Stephen Haag. 2000. Efficient provision of child quality of life in less developed countries: Conventional development indexes versus a programming approach to development indexes. Socio-Economic Planning Sciences 34, (1): 51-67.

Raab, Raymond, and Richard Lichty. 1997. An efficiency analysis of minnesota counties: A data envelopment analysis using 1993 IMPLAN input-output analysis. Journal of Regional Analysis and Policy 27, (1): 75-93.

Raczka, Jan. 2001. Explaining the performance of heat plants in poland. Energy Economics 23, (4): 355-70.

Raff, Samuel. 1996. Preface: Special issue on data envelopment analysis in honor of abraham charnes. Computers and Operations Research 23, (4): v.

Raffo, David M., and Marc I. Kellner. 2000. Empirical analysis in software process simulation modeling. Journal of Systems and Software 53, (1): 31.

Ralston, Deborah, April Wright, and Kaylee Garden. 2001. Can mergers ensure the survival of credit unions in the third millennium? Journal of Banking & Finance 25, (12): 2277.

Ramakrishnan, Ramanathan. 2005. Operations assessment of hospitals in the sultanate of oman. International Journal of Operations & Production Management 25, : 39.

———. 2004. Business excellence of industrial groups in oman. Measuring Business Excellence 8, : 34.

Ramanathan, R. 2005. Estimating energy consumption of transport modes in india using DEA and application to energy and environmental policy. Journal of the Operational Research Society 56, : 732.

———. 2001. Comparative risk assessment of energy supply technologies: A data envelopment analysis approach. Energy 26, (2): 197.

Ramanathan, Ramakrishnan. 2005. An analysis of energy consumption and carbon dioxide emissions in countries of the middle east and north africa. Energy 30, (15): 2831.

———. Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process. Computers & Operations Research In Press, Corrected Proof, .

———. Evaluating the comparative performance of countries of the middle east and north africa: A DEA application. Socio-Economic Planning Sciences In Press, Corrected Proof, .

Ramanathan, Ramu. 2003. Introduction to data envelopment analysis. London: Sage.

———. 2003. An introduction to data envelopment analysis : A tool for performance measurement. New Delhi ; Thousand Oaks, Calif.: Sage Publications.

———. 2000. A holistic approach to compare energy efficiencies of different transport modes. Energy Policy 28, (11): 743-47.

Ramanathan, T. V., K. S. Chandra, and W. M. Thupeng. 2003. A comparison of the technical efficiencies of health districts and hospitals in botswana. Development Southern Africa 20, : 307.

Ramani, Joseph. 2000. Reducing the bias in contractor prequalification using data envelopment analysis.

Ramirez de Arellano Serna,Antonio. 1999. Incorporating preference information in data envelopment analysis via external restrictions.

Rangan, N., R. Grabowski, H. Y. Aly, and C. Pasurka. 1988. The technical efficiency of US banks. Economics Letters 28, : 169-175.

Rawson, Brian L., and University of Nottingham. Theses. Business,School. 2001. Data envelopment analysis of technical efficiency in the UK insurance industry.

Ray, S. C. 1999. Measuring scale efficiency from a translog production function. Journal of Productivity Analysis 11, (2): 183-194.

Ray, S. C., and E. Desli. 1997. Productivity growth, technical progress, and efficiency change in industrialized countries: Comment. American Economic Review 87, (5): 1033-1039.

Ray, S. C., and X. W. Hu. 1997. On the technically efficient organization of an industry: A study of US airlines. Journal of Productivity Analysis 8, (1): 5-18.

Ray, S. C., and K. Mukherjee. 1998. Quantity, quality, and efficiency for a partially super- additive cost function: Connecticut public schools revisited. Journal of Productivity Analysis 10, (1): 47-62.

———. 1998. A study of size efficiency in US banking: Identifying banks that are too large. International Journal of Systems Science 29, (11): 1281-1294.

Ray, SC, Lawrence M. Seiford, and Joe Zhu. 1998. Market entity behavior of chinese state-owned enterprises. Omega 26, (2) (4): 263-278, http://www.sciencedirect.com/science/article/B6VC4-3TB5SC4-9/2/a92c7b04168803cbd8b0375132277530.

Ray, Subhash C. 2004. Data envelopment analysis : Theory and techniques for economics and operations research. Cambridge, UK ; New York: Cambridge University Press.

———. 2002. Did india's economic reforms improve efficiency and productivity? A nonparametric analysis of the initial evidence from manufacturing. Indian Economic Review 37, (1): 23-57.

———. 1997. Regional variation in productivity growth in indian manufacturing: A nonparametric analysis. Journal of Quantitative Economics 13, : 73-94.

———. 1991. Resource-use efficiency in public schools: A study of connecticut data. Management Science 37, (12): 1620-1628.

———. 1988. Data envelopment analysis, nondiscretionary inputs and efficiency: An alternative interpretation. Socio-Economic Planning Sciences 22, (4): 167.

Ray, Subhash C., and Hiung Joon Kim. 1995. Cost efficiency in the US steel industry: A nonparametric analysis using data envelopment analysis. European Journal of Operational Research 80, (3): 654.

Ray, Subhash C., and Kankana Mukherjee. 1995. Comparing parametric and nonparametric measures of efficiency: A reexamination of the christensen-greene data. Journal of Quantitative Economics 11, : 155-68.

Read, L. E., and E. Thanassoulis. 2000. Improving the identification of returns to scale in data envelopment analysis. Journal of the Operational Research Society 51, : 102.

———. 1997. Testing for the nature of returns to scale in data envelopment analysis. university of warwick, business school: .

Read, Laura Elizabeth, and School Warwick Business. 1998. A comparison of data envelopment analysis and stochastic frontiers as methods for assessing the efficiencies of organisational units. [S.l.]: typescript.

Rèaty, Tarmo. 1998. Efficient facets, influential observations, and revisions of the best practice boundary for DEA. Thesis (doctoral)., Joensuun yliopisto, Joensuun yliopisto, 1998.

Reaves, Linda J. 1993. Chapter 11: Improving campus performance. In Advances in educational productivity., ed. Herbert Walberg. Vol. 3, 223-238. Greenwich, CT: JAI Press.

Reaves, Linda Jean. 1983. Using data envelopment analysis to operationalize the concept of equal education opportunity.Ph. D. dissertation, College of Education, University of Texas.

Reese, David N. 1996. Applications of data envelopment analysis to measure the efficiency of software production in the financial services.

Reese, David Norman. 1994. Applications of data envelopment analysis to measure the efficiency of software production in the financial services.M.A.SC. thesis, University of Toronto (Canada); 0779.

Reichmann, Gerhard, and Margit Sommersguter-Reichmann. University library benchmarking: An international comparison using DEA. International Journal of Production Economics In Press, Corrected Proof, .

Reid, Christopher, Dale Squires, Yongil Jeon, Len Rodwell, and Raymond Clarke. 2003. An analysis of fishing capacity in the western and central pacific ocean tuna fishery and management implications. Marine Policy 27, (6): 449.

Reig-Martinez, Ernest, and Andres J. Picazo-Tadeo. 2004. Analysing farming systems with data envelopment analysis: Citrus farming in spain. Agricultural Systems 82, (1): 17.

Reinhard, Stijn, C. A. Knox Lovell, and Geert J. Thijssen. 2000. Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA.
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