Showing papers by "William W. Cooper published in 1995"

"Data Envelopment Analysis: Theory, Methodology, and Applications"

Abstract: Preface G. Kozmetsky. Part I: Concepts, Models & Computation. 1. Introduction. 2. Basic DEA Models. 3. Extensions to DEA Models. 4. Computational Aspects of DEA A. Iqbal Ali. 5. DEA Software Packages. Part II: Novel Applications. 6. Evaluating the Impacts of Operating Strategies on Efficiency in the U.S. Airline Industry R.D. Banker, H.H. Johnston. 7. Analyzing Technical and Allocative Efficiency of Hospitals P. Byrnes, V. Valdmanis. 8. A Multi Period Analysis of Market Segments and Brand Efficiency in the Competitive Carbonated Beverage Industry A. Charnes, W.w. Cooper, B. Golanyi, F.Y. Phillips, J.J. Rousseau. 9. Exploring why Some Physicians' Hospital Practices are More Efficient: Taking DEA Inside the Hospital J. Chilingerian. 10. On the Measurement and Monitoring of Relative Efficiency of Highway Maintenance Patrols W.D. Cook, A. Kazakov, Y. Roll. 11. Strategic Leaders in the U.S. Brewing Industry: a Longitudinal Analysis of Outliers D. Day, A.Y. Lewin, R. Salazar, Hongyu Li. 12. A Spatial Efficiency Framework for the Support of Locational Decision A. Desai, K. Haynes, J. Storbeck. 13. Productivity Developments in Swedish Hospitals: a Malmquist Output Index Approach R. Fare, S. Grosskopf, B. Lindgren, P. Roos. 14. Ownership Type, Property Rights and Relative Efficiency G. Ferrier. 15. A Comparative Analysis of Ferry Transport in Norway F.R. Forsund, E. Hernaes. 16. Incorporating Standards via Data Envelopment Analysis B. Golany, Y. Roll. 17.Stratified Models of Education Production Using Modified DEA and Regression Analysis C.A. Knox Lovell, L.C. Walters, L.L. Woods. 18. The Problems of New and Disappearing Commodities in the Construction of Price Indexes C.A. Knox Lovell, K.D. Zieschang. 19. Evaluating the Relative Efficiency of Baseball Players? M.J. Mazur. 20. Sensitivity Analysis of Efficiency Measures with Applications to Kansas Farming and Illinois Coal Mining R. Thompson, P.S. Dharmapala, R.M. Thrall. Part III: Epilogue: Process and Bibliography. 21. The DEA Process, Usages and Interpretations. 22. DEA Bibliography L.M. Seiford. References. Index.

DEA and stochastic frontier analyses of the 1978 Chinese economic reforms

Abstract: Using data obtained from Chinese sources for the period 1966–1988, this paper reports results from a study of the impact of the 1978 economic reforms for the period 1966–1988 on the Textiles, Chemicals and Metallurgical Industries. In all three, the effects were found to be dramatic and manifested almost immediately in: (1) drastic changes in capital-to-labor ratios; (2) large increases in output; and (3) significant increases in efficiency. DEA (Data Envelopment Analysis) and SF (Stochastic Frontier Analysis) provide analytic frameworks which are interpreted as follows. Via its single optimization over all observations, SF estimates are addressed to behavior across all periods while n optimizations used in DEA (one for each observation) are addressed to performances in each of the periods that are applicable for effecting its evaluations. Although based on different principles and treating the data in different ways, these two different approaches to performance evaluation, as used here, provide confirmation of each other's findings. The adjustments to the data obtained from efficiency evaluations in these two approaches are also used to show that trends underlying the observed behavior would have accelerated under fully efficient production. The joint use made here of DEA and SF contrasts with points of view that have regarded these two approaches as mutually exclusive alternatives. A new ratio measure of efficiency is also introduced in furtherance of DEA as a body of concepts in its own right.

A delphi study of goals and evaluation criteria of state and privately owned Latin American airlines.

Abstract: Goals of State Owned Enterprises (SOEs) and Privately Owned Enterprises (POEs) are here studied along with criteria that these organizations use to evaluate performance. The study was conducted with Delphi procedures using internal auditors of Latin American airlines as panel members. No statistically significant differences appeared to distinguish between the goals reported to be important by SOEs and POEs, but substantial differences in priority occurred in the criteria used to evaluate actual performance.