The aim of this work is to posit a model evaluate the efficiency system urban public libraries and examine impact certain contextual variables on level performance. We take System Public Libraries in city Medellin (Colombia) as case study consider production function which displays three main characteristics. First, it complete spans different activities undertaken by these institutions, not on...

Stochastic nonparametric envelopment of data (StoNED) combines the virtues of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) into a unified framework of frontier estimation. StoNED melds the nonparametric piece-wise linear DEA-type frontier with stochastic SFA-type inefficiency and noise terms. We show that the StoNED model can be estimated in the panel data setting in a...

The motivation of this paper is to propose such equitable method for ranking all decision making units (DMUs) in dynamic Data Envelopment Analysis (DDEA) framework. As far as we are aware there is not more studies in dynamic DEA literature. What's more, in such cases the best operating unit is important to be sampled for the others in under evaluated time periods. However, in this special conce...

Choosing funds is a general issue for investors, with the aim of balancing potential risks and returns. The this article to use super-efficiency approach analyze rank exchange-traded (ETFs) in order find best utility ETFs. range-adjusted measure (RAM)-based data envelopment analysis (DEA) model used work evaluate set ETFs inefficient funds, while RAM fully RAM-based efficient funds. Other slack...

BACKGROUND Data envelopment analysis (DEA) is an established technique that hospitals and anesthesia groups can use to understand their potential to grow different specialties of inpatient surgery. Often related decisions such as recruitment of new physicians are made promptly. A practical challenge in using DEA in practice for this application has been the time to obtain access to and preproce...

In 2020, China put forward the goals of “peak carbon dioxide emissions” and “carbon neutrality” (“double-carbon”) it is urgent for energy industry to achieve green transformation. Aiming at rigid requirements carbon-peaking carbon-neutrality (“double-carbon”), this study established a performance evaluation index system an supply chain four-tier structure based on “double-carbon” goals, calcula...

Abstract The objective of this work is to use multiple Data Envelopment Analysis (DEA)/Benefit the Doubt (BoD) approaches for readjustment and exploitation Human Development Index (HDI). HDI leading indicator vision “development as freedom”; it a Composite Index, wherein three dimensions (income, health, education), represented by four indicators, are aggregated. DEA-BoD used in were: tradition...

Data envelopment analysis (DEA) is a method of operations research that has not yet been applied in the field of obesity research. However, DEA might be used to evaluate individuals' susceptibility to obesity, which could help establish effective risk models for the onset of obesity. Therefore, we conducted this study to evaluate the feasibility of applying DEA to predict obesity, by calculatin...

Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial and non-radial DEA, the latter has higher discriminatory power than former. The range adjusted measure (RAM) is an effective widely used approach. However, to best of our knowledge, there no literature on integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first...