Measurement of productivity index with dynamic DEA

Ali Emrouznejad, Emmanuel Thanassoulis

Research output: Contribution to journalArticlepeer-review


Fare, Grosskopf, Norris and Zhang developed a non-parametric productivity index, Malmquist index, using data envelopment analysis (DEA). The Malmquist index is a measure of productivity progress (regress) and it can be decomposed to different components such as 'efficiency catch-up' and 'technology change'. However, Malmquist index and its components are based on two period of time which can capture only a part of the impact of investment in long-lived assets. The effects of lags in the investment process on the capital stock have been ignored in the current model of Malmquist index. This paper extends the recent dynamic DEA model introduced by Emrouznejad and Thanassoulis and Emrouznejad for dynamic Malmquist index. This paper shows that the dynamic productivity results for Organisation for Economic Cooperation and Development countries should reflect reality better than those based on conventional model.
Original languageEnglish
Pages (from-to)247-260
Number of pages14
JournalInternational Journal of Operational Research
Issue number2
Publication statusPublished - May 2010


  • mathematical modelling
  • data envelopment analysis
  • Malmquist index
  • productivity index
  • OECD
  • dynamic DEA
  • organisation for economic cooperation and development


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