Titlebook: Dynamics of Data Envelopment Analysis; Theory of Systems Ef Jati K. Sengupta Book 1995 Springer Science+Business Media Dordrecht 1995 Data

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Technical Change and Efficiency,fy the production frontier parameters, so that the impact of technological substitution and updating can be incorporated. Finally, the multi-stage aspects of the production process and the need for flexibility rather than . have been evidenced in the modern technology-intensive industries. The whole

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Stochastic Efficiency,ative volume of input and output D. =(X.,Y.) over a certain period and then apply a DEA model based on the data set D. to measure efficiency of a DMU.. A second problem is due to the nonstationary nature of input-output data particularly for growing firms or DMUs. In such a case the steady state (t

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