Heterogeneity and Efficiency of Meat Processing Companies in the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F15%3A69913" target="_blank" >RIV/60460709:41110/15:69913 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Heterogeneity and Efficiency of Meat Processing Companies in the Czech Republic

Popis výsledku v původním jazyce

In this paper different ways of considering heterogeneity in stochastic frontier models based on data about Czech meat processing farms are studied. Recent studies proved that food processing firms? heterogeneity can influence the result of efficiency estimation. It is possible to take heterogeneity into account by including those effects in the mean and/or variance of distribution of inefficiency (observed heterogeneity) or by randomizing some parameters of the model (unobserved heterogeneity). For empirical study panel data set from the years 2005? 2012 contained 757 observations of 130 meat processing companies was used. All models were estimated in the form of Translogarithmic production function. The models with observed heterogeneity (heterogeneity in variance and Equality Constrained Scaling Model) and unobserved heterogeneity (True Random Effects and Random Parameters Model) were compared to Aigner, Lowell and Schmidt (ALS) model without heterogeneity by statistical tests. Our

Název v anglickém jazyce

Heterogeneity and Efficiency of Meat Processing Companies in the Czech Republic

Popis výsledku anglicky

In this paper different ways of considering heterogeneity in stochastic frontier models based on data about Czech meat processing farms are studied. Recent studies proved that food processing firms? heterogeneity can influence the result of efficiency estimation. It is possible to take heterogeneity into account by including those effects in the mean and/or variance of distribution of inefficiency (observed heterogeneity) or by randomizing some parameters of the model (unobserved heterogeneity). For empirical study panel data set from the years 2005? 2012 contained 757 observations of 130 meat processing companies was used. All models were estimated in the form of Translogarithmic production function. The models with observed heterogeneity (heterogeneity in variance and Equality Constrained Scaling Model) and unobserved heterogeneity (True Random Effects and Random Parameters Model) were compared to Aigner, Lowell and Schmidt (ALS) model without heterogeneity by statistical tests. Our

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Mathematical Methods in Economics MME 2015 - 33rd International Conference

ISBN

978-80-261-0539-8

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

713-718

Název nakladatele

Neuveden

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

9. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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