The use of parametric and non-parametric frontier methods to measure the productive efficiency in the industrial sector: A comparative study

By Luis R. Murillo-Zamorano, J. Vega-Cervera. 2001

110 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Economic Efficiency and Frontier Techniques (2004, background): “Finally, Murillo-Zamorano and Vega-Cervera (2001) apply a broad range of econometric and mathematical programming frontier techniques to an industrial organisation setup corresponding to a sample of 70 US (investor-owned) electric utility firms in 1990.”
Data Envelopment Analysis with Imprecise Data (2011, background): “…Moutray, 2001), counties (Raab and Lichty, 1997), as well as to compare industries and sectors (Sueyoshi and Goto, 2001; Navarro and Camacho, 2001; Murillo-Zamorano and Vega-Cervera, 2001; Mathijs and Swinnen, 2001), banks (Mukherjee et al., 2001; Sathye, 2001; Kuosmanen and Post, 2001; Hartman…”
Assessment of Tourism Competitiveness by Analysing Destination Efficiency (2008, unknown): “Moreover, according to previous empirical studies, a comparison between the two frontier efficiency methods is made (Sharma et al, 1997; Cummins and Zi, 1998; Murillo-Zamorano and Vega-Cervera, 2001).”
Review on Parametric and Nonparametric Methods of Efficiency Analysis (2018, methodology): “In this context, DEA is an effective non-parametric method for evaluating the relative efficiency of the decision-making units, which does not need the exact functional form between inputs and outputs approach [2-4].”