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...

In the traditional theory of firm the concept of short-run production function was argued to be mere technical datum, showing all possible outputs that can result if various factor service combinations are used. This view holds only when the services of fixed factor, capital are assumed to be...

The nonparametric data envelopment analysis (DEA) literature on environmental efficiency (EE) considers handling undesirable outputs in two alternative ways: either in their original forms with the assumption that these are weakly disposable or in various translated forms with the assumption...

This volume discusses the latest techniques and their economic applications for modern industries like computer, pharmaceutical, banking and other manufacturing. Both econometric and mathematical programming techniques are analyzed so as to develop a synthetic approach.

In data envelopment analysis (DEA) literature, the returns to scale (RTS) of an inefficient decision making unit (DMU) is determined at its projected point on the efficient frontier. Under the occurrences of multiple projection points, however, this evaluation procedure is not precise and may...

This article first reviews the well-known nonparametric methods of decomposing productivity growth and finally argue that Färe et al. (1994)’s method of computing productivity growth is superior in spite of the fact that this model model is based on convexity postulate, which assumes away...

The measure proposed in this paper is a new nonparametric data envelopment analysis (DEA) scheme, the hybrid measure, for determining efficiency in the presence of radial and nonradial inputs or outputs. Further extension of the scheme occurred to address nonseparable desirable and undesirable...