Estimation of efficiency of firms in a non-competitive market characterized by heterogeneous inputs and outputs along with their varying prices is questionable when factor-based technology sets are used in data envelopment analysis (DEA). In this scenario, a value-based technology becomes an...

For measuring technical efficiency relative to a log-linear technology, a generalized multiplicative directional distance function (GMDDF) is developed using the framework of multiplicative directional distance function (MDDF). Furthermore, a computational procedure is suggested for its...

The constant returns to scale assumption maintained by neoclassical theorists for justifying the black-box structure of production technology in long run does not necessarily allow one to infer that there are no scale benefits available in its sub-technologies. Most of real-life production...

In for-profit organizations, profit efficiency decomposition is considered important since estimates on profit drivers are of practical use to managers in their decision making. Profit efficiency is traditionally due to two sources – technical efficiency and allocative efficiency. The...

In non-competitive market characterized by heterogeneous firms and price uncertainty, we discuss the measurement of economies of scale and scope due to process indivisibilities arising from the task-specific production processes of multiproduct firm. Two competing DEA cost models—one based on...

Based on the different models developed by Korhonen and Luptacik [Korhonen, P., Luptacik, M., 2004. Eco-efficiency analysis of power plants: An extension of data envelopment analysis. European Journal of Operational Research 154, 437–46], this contribution centers on the development of an...

This paper proposes a set of alternative DEA-based money indices that are proved to be both theoretically and empirically competing monetary aggregates since they perform as good as the Divisia aggregates. Based on all the results concerning causality, forecasting and money demand, we conclude...