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 …

Economists have shown that large and persistent differences in productivity levels across
businesses are ubiquitous. This finding has shaped research agendas in a number of fields …

As the world's largest energy consuming country, it is important to study the mechanisms of
improving renewable energy and energy efficiency to achieve green economic growth in …

Green development answers to the common needs and demands of all humanity, especially
the emerging economies like China. Based on the newly constructed Metafrontier-Global …

This paper uses a dynamic slack-based measure (DSBM) model to calculate an enterprise's
green total factor productivity (GTFP), used as the proxy variable for measuring the …

This paper presents a non-radial directional distance function approach to modeling energy
and CO2emission performance in electricity generation from the production efficiency point …

The objective of this paper is to evaluate the sustainability of operational logistics
performance within a sample of OECD nations and to compare this to the most widely known …

The use of data envelopment analysis (DEA) in China's regional energy efficiency and
carbon emission efficiency (EE&CE) assessment has received increasing attention in recent …

We propose a measure of managerial ability, based on managers' efficiency in generating
revenues, which is available for a large sample of firms and outperforms existing ability …

This paper provides a sketch of some of the major research thrusts in data envelopment
analysis (DEA) over the three decades since the appearance of the seminal work of …