2020
DOI: 10.1002/mde.3127
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Vicarious warfare and dynamic efficiency of companies in the aerospace and defence industry

Abstract: This study explores the economic performance that vicarious warfare can bring for the aerospace and defence industry. First, this study measures the performance of 22 companies using a nonradial dynamic data envelopment analysis model from 2011 to 2017. Second, this study evaluates whether vicarious warfare can influence the performance. The efficiency analysis suggests rooms for improvements meanwhile, the projection analysis suggests that market value should be significantly increased, and the number of empl… Show more

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Cited by 2 publications
(2 citation statements)
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References 43 publications
(55 reference statements)
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“…In addition, the data set used depicts a scenario, in which inputs are significantly and positively correlated with outputs, thereby fulfilling the “isotonicity” conjecture. This scenario is consistent with the common practice in prior studies (for examples, Nourani et al , 2018b; Nourani et al , 2020). Second, the current research uses the truncated regression technique with a bootstrapping approach (Barros et al , 2010).…”
Section: Methodology and Datasupporting
confidence: 90%
“…In addition, the data set used depicts a scenario, in which inputs are significantly and positively correlated with outputs, thereby fulfilling the “isotonicity” conjecture. This scenario is consistent with the common practice in prior studies (for examples, Nourani et al , 2018b; Nourani et al , 2020). Second, the current research uses the truncated regression technique with a bootstrapping approach (Barros et al , 2010).…”
Section: Methodology and Datasupporting
confidence: 90%
“…The dynamic DEA model we consider also accounts for any intertemporal effects of desirable and undesirable carry‐overs between years, including risk in the form of NPLs, and is particularly suited to study efficiency in the banking sector. This represents an improvement over aggregated indices, such as the Malmquist Productivity Index and the Luenberger Productivity Indicator, which do not account for these aspects (Wanke et al., 2015; Wijesiri, 2016; Wu et al., 2016; Nourani et al., 2020). Additionally, second‐stage Tobit and Beta regressions are based on stochastic nonlinear programming and bootstrapping techniques, which limits problems of lack of discriminatory power of the scores computed in the first stage (Wanke et al.…”
Section: Introductionmentioning
confidence: 99%