2020
DOI: 10.11118/actaun202068040765
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 unde… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1

Relationship

3
2

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 19 publications
0
6
0
Order By: Relevance
“…The lack of studies can be expected due to the limited availability of data at the level of individual companies, and the possible explanation is the fact that European electricity generation sectors are often characterized by only a handful of large companies and, conversely, a large number of medium and small enterprises. However, according to Černohorský (2015), this market structure does not create sufficient space for competition and thus lacks motivation to evaluate productivity or efficiency like in Staňková (2020) or Gaebert and Staňková (2020).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The lack of studies can be expected due to the limited availability of data at the level of individual companies, and the possible explanation is the fact that European electricity generation sectors are often characterized by only a handful of large companies and, conversely, a large number of medium and small enterprises. However, according to Černohorský (2015), this market structure does not create sufficient space for competition and thus lacks motivation to evaluate productivity or efficiency like in Staňková (2020) or Gaebert and Staňková (2020).…”
Section: Discussionmentioning
confidence: 99%
“…Due to the fact that it is possible to use a linearized version of the Cobb-Douglas production function (see Staňková, 2020;Staňková andHampel, 2019, 2021) the parameter estimates were performed via the OLS method. Similarly to Zámková and Blašková (2013) and Adamec and Střelec (2012), t-tests were used to verify the statistical significance of the estimated parameters of the Cobb-Douglas production function model.…”
Section: Methodology and Datamentioning
confidence: 99%
“…The efficiency of the companies was estimated using the parametric stochastic frontier analysis (SFA) (production possibility frontier). Unlike other methods, this method enables differentiating between inefficiency and noise [24]. It is possible to evaluate production (also referred to as technical) efficiency through estimating the production possibility frontier and thus evaluate the efficiency level of each company.…”
Section: Methodsmentioning
confidence: 99%
“…It is possible to evaluate production (also referred to as technical) efficiency through estimating the production possibility frontier and thus evaluate the efficiency level of each company. Due to the nature of the data obtained, a two-factor Cobb-Douglas production function was chosen as in [24]. The production of companies is characterized by sales.…”
Section: Methodsmentioning
confidence: 99%
“…In order to adequately assess changes over time, in addition to the standard models for each year, we also calculated changes in efficiency using the Malmquist production index as in Staňková (2020). It is possible to decompose this index and analyse its two parts -the change in individual efficiency and the change in the pro-duction possibilities frontier.…”
Section: Methodsmentioning
confidence: 99%