The performance of local tax offices of Norway is studied over a three-year period applying Data Envelopment Efficiency analysis and a Malmquist productivity index. The estimates are bias-corrected using a bootstrap approach recently developed for DEA models. The results show that bias...

There are some specific features of the non-radial data envelopment analysis (DEA) models which cause some problems for the returns to scale measurement. In the scientific literature on DEA, some methods were suggested to deal with the returns to scale measurement in the non-radial DEA models....

A new DEA model has been introduced recently combining the primal and the dual models in order to impose strong complementary slackness conditions. It was claimed that a reference set that contains the maximum number of efficient units can then be determined. The model is very interesting as a...

In this paper, we suggest a simple derivation of the formulae for the scale elasticity in the variable returns-to-scale technology as used in data envelopment analysis. Our development is consistent with the existing literature but the proof is much shorter and applies to the general case...

The objective of this paper is to investigate the effects on utilisation of existing hydropower in a region of investing in significant wind-power in the region within the present network. Policy simulations are conducted using a dynamic system-wide model that is calibrated to reflect the...

When regulating electricity distribution utilities, estimates of the past productivity improvement performance are very important for future requirements. A piecewise linear frontier technology, reflecting observed best practice, accommodating the multi-output nature of distribution utilities is...