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 …

Data envelopment analysis (DEA) is a non-parametric approach for measuring the relative
efficiencies of peer decision making units (DMUs). Many studies have examined DEA …

Improving energy efficiency and building a low-carbon economy are the important ways to
resolve the current contradiction between economic growth and the environment in China. In …

Purpose The purpose of this paper is to provide an outline of the major contributions in the
literature on the determination of the least distance in data envelopment analysis (DEA). The …

Rapid economic growth of China's industry has brought many problems. Among them, the
problems of energy shortage and environmental pollution have become increasingly …

Within the framework of data envelopment analysis (DEA) methodology, the problem of
determining the closest targets on the efficient frontier is receiving increased attention from …

This paper proposes slacks-based measure (SBM) data envelopment analysis (DEA)
models that handle negative data. Unlike existing negative data allowable DEA models, the …

This study estimates output market power in the Chinese banking industry using the multi-
output Lerner index. We propose a minimum distance cost function approach, which allows …

Abstract Data Envelopment Analysis (DEA) is extended to the evaluation of performance of
organizations within the framework of the implementation of plans for improvements that set …

Determining the least distance to the efficient frontier for estimating technical inefficiency,
with the consequent determination of closest targets, has been one of the relevant issues in …