In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

This research enhances the ability of the data envelopment analysis (DEA) model to analyse
regional energy and environmental efficiency in three aspects. The first is a networked …

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 …

Given the growing emphasis on research productivity in management schools of India over
the years, the present authors developed a composite indicator (CI) of research productivity …

There are several ways of aggregating partial performance indicators into composites, each
of them with advantages but also shortcomings and caveats. The objectivity demanded for …

We propose a multiplicative environmental data envelopment analysis (ME-DEA) approach
to measure the performance of 46 countries that generate most of the world's carbon dioxide …

China's electric utility industry is among the country's main polluters. Increasing the
efficiency of China's power supply chain is therefore essential to promote more …

To detect the weak and strong congestion statuses of decision making units (DMUs) via data
envelopment analysis (DEA), first, a technology is constructed under the assumptions of …

The conventional convexity assumptions frequently placed on piecewise linear frontiers of
production technologies modeled using data envelopment analysis imply non-increasing …

Health care systems worldwide have faced a problem of resources scarcity that, in turn,
should be allocated to the health care providers according to the corresponding population …