This paper has two main purposes. Firstly, we develop various ways of defining efficiency in the case of multiple-output production. Our framework extends a previous model by allowing for nonseparability of inputs and outputs. We also specifically consider the case where some of the outputs are undesirable, such as pollutants. We investigate how these efficiency definitions relate to one anothe...

For many discriminative classifiers, it is desirable to convert an unnormalized confidence score output from the classifier to a normalized probability estimate. Such a method can also be used for creating better estimates from a probabilistic classifier that outputs poor estimates. Typical parametric methods have an underlying assumption that the score distribution for a class is symmetric; we...

There are two difficulties in doing an objective evaluation of the performance of decision-making units (DMUs). The first one is how to treat undesirable outputs jointly produced with the desirable outputs, and the second one is how to treat uncontrollable variables, which often capture the impact of the operating environment. Given difficulties in both model construction and data availability,...

Nowadays, forward-thinking companies move beyond conventional structures of organizations and consider all parties the supply chain. The objective this paper is to present an adaptive network data envelopment analysis (DEA) model evaluate overall divisional efficiency sustainable chains in presence desirable undesirable outputs. Our DEA can assess given managerial natural disposability. Also, i...

In this paper we consider different models that assess eco-efficiency with production frontier estimation when both desirable outputs and undesirable outputs (or residuals) are considered. These models are confronted to livestock farm data (sheep meat farms) and greenhouse gas (GHG) emissions, to discuss their suitability in ecoefficiency measurement. The application is to French sheep meat far...

This paper proposes a new resource allocation model which is based on data envelopment analysis (DEA) and concerns systems with several homogeneous units operating under supervision of a central unit. The previous studies in DEA literature deal with reallocating/allocating organizational resource to improve performance or maximize the total amount of outputs produced by individual units. In tho...

One of the serious issues that China faces during its fast economic development is the low input–output efficiency of water and energy resources and growing water pollution. With the current economic development model of China, economic growth still requires large input of water resource and energy resource. This paper has focused on the total factor efficiency of water resource and energy reso...

A shortage of water resources is a global issue common concern. The contribution the article mainly includes following two parts. First study resources’ green utilization efficiency (WRGUE) in 30 provincial administrative units China from 2009 to 2019 by adopting epsilon-based measure (EBM) model with undesirable outputs, which can yield more accurate and reasonable assessment result. In additi...

To explore the evolution mechanism of manufacturing green development efficiency is great significance to realize transformation industry in Yangtze River Economic Belt. This paper fully considers resource inputs and undesirable outputs production process applies WSR methodology construct index system influencing factors. Based on panel data 11 provinces cities Belt from 1998 2017, super-SBM mo...

This paper constructs an additive two-stage network DEA (data envelopment analysis) model with consideration of undesirable outputs and shared inputs. Following the triple bottom line standard of sustainability, we calculate both the overall and sub-stage sustainability performance of railway transportation in China from 2002 to 2013, from the aspects of economy, environment and society. The re...