Long term productivity gains in the privatised British passenger rail industry – A case study of Malmquist productivity index measurements
place - europe, mode - rail, organisation - privatisation
Rail privatisation, Malmquist productivity index, Total factor productivity, Efficiency change, Technical change, data envelopment analysis, correct ordinary least squares, stochastic production frontier
This paper assesses long term productivity in the privatised British passenger rail industry using a Malmquist productivity index (MPI) generated using three different efficiency assessment methods, namely data envelopment analysis (DEA), corrected ordinary least squares (COLS) and the stochastic production frontier (SPF). The results indicate that over the period 1997 to 2015, the industry achieved annual average productivity gains of around 1% to 1 1/2%, with most of this improvement coming in the first half of the period, and the second half of the period displayed unitary productivity returns. Virtually all gains have come as a result of technical change, however the rate of increase was found to gradually decreasing throughout the whole time period, hence future productivity gains may be more difficult to achieve. The results from the three approaches are considered, and the COLS is found to be most consistent with the idea of total factor productivity and technical change ss long run concepts and efficiency change as a short run phenomenon.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Cowie, J. (2018). Long term productivity gains in the privatised British passenger rail industry – A case study of Malmquist productivity index measurements. Research in Transportation Business & Management, Available online 3 February 2018. In Press, Corrected Proof.