This study computes the eco-efficiency of High Yielding Variety (HYV) rice production by including an on-farm environmental damage index (OFEDI) as an undesirable output using Data Envelopment Analysis (DEA) and then identifies its determinants by applying an interval regression procedure on a sample of 317 farmers from north-western Bangladesh. Results reveal that the mean level of the OFEDI-a...

We estimate Japanese banking inefficiency and the shadow price of problem loans by treating problem loans as a jointly produced undesirable by-product of the loan production process. Our method uses the directional output distance function of Färe et al. [R. Färe, S. Grosskopf, D.-W. Noh, W.L. Weber, Characteristics of a polluting technology: Theory and practice, Journal of Econometrics 126 (20...

Abstract To estimate the performance of China in terms energy use efficiency during first two decades twenty-first century while also taking into consideration pollutant emission, this study uses a panel data set covering 30 provincial administrative regions mainland for period 2000–2016. overcome problems with DEA-based method, proposes an SFA-based model that can environmental maintaining reg...

This paper contributes to the literatures about Chinese commercial banks technical efficiency. In order to eliminate the deviation of efficiency scores caused by an undesirable output that is represented by banks’ non-performing loans, the estimation is based on an enhanced parametric hyperbolic distance function which considers not only desirable outputs but also undesirable outputs. Furthermo...

In recent years, the assessment of environmental performance has been received considerable attention by environmental policy indicators and decision makers. In this regard, this paper applies data envelopment analysis (DEA) as a management tool for evaluating the environmental performance of the firms and uses the extended bounded adjusted measure (extended BAM) for including undesirable outpu...

Cherchye et al. (2013b) introduced a DEA methodology that is specially tailored for multi-output efficiency measurement. The methodology accounts for jointly used inputs and incorporates information on how inputs are allocated to outputs. In this paper, we present extensions that render the methodology useful to deal with undesirable (or “bad”) outputs in addition to desirable (or “good”) outpu...

This research identifies returns to scale (RTS) of efficient decision making units (DMUs) with desirable (good) and undesirable (bad) inputs and outputs by presenting a new DEA (data envelopment analysis) approach. In this study, we first introduce a new input-output oriented model to determine efficient DMUs in the presence of undesirable factors and then, returns to scale of these DMUs are es...

Road lighting is essential to ensure the safety and comfort of its users, especially in preventing accidents aiding visual tasks. The monumental shift from conventional road technology light-emitting diode (LED) driven by energy efficiency, associated cost savings, environmental concerns system. This study aims investigate performance LED substitution for high-pressure sodium vapour (HPSV) Pena...

Frequently undesirable outputs are produced together with desirable. This joint production of bad and good outputs in connection with environmental decision models is the subject of this paper. Recently Haynes, Ratick, Bowen and Cummings-Saxton (1993) addressed the same subject matter. They observed that: "... input resources, including the chemicals of concern, produce as joint products the sa...