Productivity Measurement In Radial Dea Models With Multiple Constant Inputs
Giannis Karagiannis and
C. A. K. Lovell
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C. A. K. Lovell: CEPA - School of Economics, The University of Queensland, https://economics.uq.edu.au/cepa
No WP082013, CEPA Working Papers Series from University of Queensland, School of Economics
We consider productivity measurement based on radial DEA models with multiple constant inputs. We show that in this case the Malmquist and the Hicks- Moorsteen productivity indices coincide and are multiplicatively complete, the choice of orientation for the measurement of productivity change does not matter, and there is a unique decomposition of productivity change containing three independent sources, namely technical efficiency change and the magnitude and output bias components of technical change. We also show that an aggregate productivity index is given by the simple arithmetic mean of individual productivity indices.
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Persistent link: https://EconPapers.repec.org/RePEc:qld:uqcepa:91
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