J 2015

Measuring technical efficiency using the example of construction companies

VOCHOZKA, Marek, Jan VÁCHAL and Jarmila STRAKOVÁ

Basic information

Original name

Measuring technical efficiency using the example of construction companies

Name in Czech

Měření technické efektivnosti na příkladu stavebních podniků

Authors

VOCHOZKA, Marek (203 Czech Republic, guarantor, belonging to the institution), Jan VÁCHAL (203 Czech Republic, belonging to the institution) and Jarmila STRAKOVÁ (203 Czech Republic, belonging to the institution)

Edition

Ekonomika a management, Praha, Podnikohospodářská fakulta VŠE v Praze, 2015, 1802-8934

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50200 5.2 Economics and Business

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

RIV identification code

RIV/75081431:_____/15:00000503

Organization unit

Institute of Technology and Business in České Budějovice

Keywords (in Czech)

výkonnost podniku; technická efektivnost; jednofaktorová produkční funkce

Keywords in English

Business performance; Single-factor production function; Technical efficiency

Tags

Changed: 26/2/2016 13:41, Mgr. Václav Karas

Abstract

ORIG CZ

V originále

This paper presents one of the possible approaches for measuring business performance, or more precisely, the measurement of technical efficiency for a set of construction companies. The theoretical basis of technical efficiency is defined. This provides information on the level of utilization of factors of production by a company whereby it is possible to identify the potential of the business and its potential losses. Single-factor linear production functions are used for this purpose. The test file includes 15,189 construction companies from all regions of the Czech Republic. A production function for the observed set of companies is defined, as are the strengths of the individual production parameters. A specification of the derived production function according to the year and relevant region is also given. The set method allows us to predict the production functions in the respective regions and their average production at the set structure of production factors which expresses the specifics of the respective region.