deaR-Shiny: An Interactive Web App for Data Envelopment Analysis

Rafael Benítez, Vicente Coll-Serrano and Vicente J. Bolós
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Rafael Benítez: Department of Business Mathematics, School of Economics, University of Valencia, 46010 València, Spain
Vicente J. Bolós: Department of Business Mathematics, School of Economics, University of Valencia, 46010 València, Spain

Sustainability, 2021, vol. 13, issue 12, 1-19

Abstract: In this paper, we describe an interactive web application (deaR-shiny) to measure efficiency and productivity using data envelopment analysis (DEA). deaR-shiny aims to fill the gap that currently exists in the availability of online DEA software offering practitioners and researchers free access to a very wide variety of DEA models (both conventional and fuzzy models). We illustrate how to use the web app by replicating the main results obtained by Carlucci, Cirà and Coccorese in 2018, who investigate the efficiency and economic sustainability of Italian regional airport by using two conventional DEA models, and the results given by Kao and Liu in their papers published in 2000 and 2003, who calculate the efficiency scores of university libraries in Taiwan by using a fuzzy DEA model because they treat missing data as fuzzy numbers.

Keywords: data envelopment analysis; DEA; fuzzy DEA; R software; efficiency; deaR package; shiny; Malmquist index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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