A Stochastic Study on Different Oil Seeds Using DEA Approach

B.R. Sreedhar¹ , K. Muthyalappa² , M. Amarnath³

Section:Research Paper, Product Type: Journal-Paper
Vol.7 , Issue.1 , pp.86-91, Feb-2020

Online published on Feb 28, 2020

Copyright © B.R. Sreedhar, K. Muthyalappa, M. Amarnath . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This paper contains a number of to measure technical efficiency of Decision Making Units (DMU’s). This approach engages the linear programming technique (L.P.P) with parametric and non-parametric production frontiers in easy way. The parametric estimates cannot be subjected to significance tests due to the non-obtainability of standard errors (S.E’s). In this Paper we proposed a method of stochastic production frontiers- technical efficiency of Cobb-Douglas frontier production function as a linear programming problem (L.P.P).This method can be stretched in easy way to any parametric frontier production or cost function which is linear in parameters.

Key-Words / Index Term :
DEA, DMUs, Peer, Technical Efficiency, Super Efficiency

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