Following the spirit of the enhanced Russell graph measure, this paper proposes an enhanced Russell-based directional distance measure (ERBDDM) model for dealing with desirable and undesirable outputs in data envelopment analysis (DEA) and allowing some inputs and outputs to be zero. The...

This article proposes an extended three-stage DEA methodology similar to Fried et al. (2002) to improve the measurement of productivity growth when the assumption of free disposability of undesirable output does not apply. A directional distance function is used to construct adjusted...

Purpose – The paper aims to propose a modified multi-activity data envelopment analysis (MDEA) to provide information on the efficiency performance of farmers' cooperatives with inputs shared among several closely-related activities. Design/methodology/approach – The directional distance...

This article proposes an extended three-stage DEA methodology similar to Fried et al. (2002) to improve the measurement of productivity growth then the assumption of free disposability of undesirable outpu t does not apply. A directional distance function is used to construct adjusted...

A panel dataset of 29 provinces in China is used to analyze the productivity growth in China's agricultural sector over the period 1990-2003. We compute the output-oriented Malmquist productivity indexes and their decomposition using a sequential data envelopment analysis approach. The results...

This paper assesses whether geographical characteristics and service strategies influence the performance of Chinese airports. It examines the technical efficiency of 41 Chinese airports in 2008; with data envelopment analysis then regressed on environmental factors. The results show that airports...

The objective of this paper is to provide a comprehensive efficiency measures to estimate the performances of OECD and non-OECD countries. A Russell directional distance function that appropriately credits the decision making unit not only for increase in desirable outputs but also for the...