Measuring of human development through the output-oriented super efficiency VRS DEA model without inputs

Eren, Miraç; Eren, Murat; Başar, Selim

doi:10.5937/sjm12-11184

Cited by 4 publications

(1 citation statement)

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“…Despite their complexity, DEA has also been used to pinpoint inefficiencies in supply chains (Chern and Chou, 2016) and to determine efficiencies in areas lacking research attention, such as sports sponsorships (Bijmolt et al, 2016). DEA has been validated as an appropriate method for "identify[ing] efficient discrete-event simulation software" (Lall and Moreno, 2011) and has even been used to formulate a new method for calculating the human development index (Eren et al, 2017).…”

Section: Industrymentioning

confidence: 99%

ACADEMIC R&D ACROSS THE STATES: EFFICIENCY AND ITS DETERMINANTS

2019

Glob J Acc Fin

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A review of the literature suggests that there are few studies on the efficiency of academic research and development (R&D) funding in the United States. Much of the extant literature focuses on efficiency assessments at either the academic department level or the university level. We are not aware of any studies that analyze the efficiency of academic R&D funding at the state level. The purpose of this paper is to fill this void by assessing the efficiency of academic R&D funding at the state level using Data Envelopment Analysis (DEA), a non-parametric efficiency estimation method that can utilize multiple inputs and outputs to create a single efficiency score. The DEA results, along with results in changes in R&D productivity over time, suggest that some U.S. states are relatively better positioned to turn their R&D dollars into academic and business outputs. Tennessee is used as an example to show how to apply the DEA results to guide policy decisions toward efficiency. Tobit model results imply that the diversity of funding source, university R&D intensity, and R&D concentration are key for R&D funding efficiency. The policy implications of the study findings are discussed.

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Section: Industrymentioning

confidence: 99%