Measuring variations in efficiency and its extension, eco-efficiency, during a restructuring period in different industries has always been a point of interest for regulators and policy makers. This paper assesses the impacts of restructuring of procurement in the Iranian power industry on the performance of power plants. We introduce a new slacks-based model for Malmquist-Luenberger (ML) Index measurement and apply it to the power plants to calculate the efficiency, eco-efficiency, and technological changes over the 8-year period (2003-2010) of restructuring in the power industry. The results reveal that although the restructuring had different effects on the individual power plants, the overall growth in the eco-efficiency of the sector was mainly due to advances in pure technology. We also assess the correlation between efficiency and ecoefficiency of the power plants, which indicates a close relationship between these two steps, thus lending support to the incorporation of environmental factors in efficiency analysis.

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This paper uses a two-stage data envelopment analysis to examine bank efficiency in Malaysia. In the first stage, we use meta-frontier technology to address bank heterogeneity-bank nature (Islamic vs. conventional banks) and bank ownership (local vs. foreign banks). Using a data set of 43 Malaysian commercial banks, the application of meta-frontier enables us to compare the existence of inefficiency among Malaysian banks because of their business nature and ownership. In doing so, we empirically demonstrate that using different approaches (i.e., production, profitability, and intermediation) for calculating bank efficiency can give significant contradictory results in efficiency scores. In the second stage, we use Simar and Wilson's double bootstrap regression to estimate the determinants of efficiency in