Efficiency of the building project sector in the Czech Republic – Stochastic frontier analysis approach

Staňková, Michaela; Hampel, David

doi:10.1063/1.5114421

Cited by 5 publications

(2 citation statements)

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“…The calculations will be based on data from 1995 to 2015. The parametric models will be based on the Cobb-Douglas two-factor production function like in Staňková and Hampel (2019). Due to data availability in the EU KLEMS database, it is possible to consider two variables as the output variable: gross value added (VA) and gross output (GO); both at current basic prices in millions of national currencies.…”

Section: Methodsmentioning

confidence: 99%

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Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches

Staňková¹

2020

Acta Univ. Agric. Silvic. Mendelianae Brun.

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This article deals with the development of technical (production) efficiency in the metallurgical industry in EU countries with an emphasis on the situation in the Czech Republic. The efficiency of individual countries was estimated for the period from 1995 to 2015. The parametric stochastic frontier analysis method with different settings was chosen to estimate efficiency and the results were verified using a competitive non-parametric data envelopment analysis method. It was found that during the period under review, there was an average increase in efficiency in the metallurgical industry. The largest increase in efficiency (confirmed by all types of models) was observed in the Czech Republic. A visible positive efficiency shift was also recorded in Spain and Greece. Surprisingly, there has been a decline in efficiency in Sweden and Italy.

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Section: Methodsmentioning

confidence: 99%

“…Efficiency evaluation (regardless of the chosen sector) is a constantly discussed issue, see Staňková and Hampel (2018) or Staňková and Hampel (2019). This evaluation is based on the idea of dividing units into efficient and inefficient ones.…”

Section: Introductionmentioning

confidence: 99%