Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …

DEA, incepted in 80s, has emerged as a popular decision-making technique, for
determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …

This paper examines whether the development of the financial technology (fintech) industry
affects cost efficiency and the technology adopted for China's banking industry over the …

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 …

As a powerful efficiency evaluation tool, cross-efficiency measurement in data envelopment
analysis (DEA) has been proverbially concerned. However, most of existing studies on cross …

Given the importance that two-stage Data Envelopment Analysis (DEA) models have
attained in recent years, this paper presents a systematic review of the literature on the topic …

China's transportation sector suffers from energy over-consumption and CO 2 over-
emission, resulting in increasing pressure to improve energy and environmental efficiency …

The treatment of undesirable outputs in Data Envelopment Analysis (DEA) has received
great research attention recently. As such and as are presented in this work, there are four …

China's economic has got remarkable achievements during the past 30 years, which has
brought tremendous pressure on natural resources and serious environmental pollution at …

Improving technological innovation efficiency and eco-efficiency is the key to achieving a
high-quality, sustainable mining industry in China. In order to explore the internal process of …