Determinants of farms’ technical (in)efficiency

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027251%3A_____%2F20%3AN0000018" target="_blank" >RIV/00027251:_____/20:N0000018 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31140/20:00055807

Výsledek na webu

<a href="https://msed.vse.cz/msed_2020/sbornik/toc.html" target="_blank" >https://msed.vse.cz/msed_2020/sbornik/toc.html</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Determinants of farms’ technical (in)efficiency

Popis výsledku v původním jazyce

The aim is to find the determinants that influence the technical (in)efficiency of agricultural holdings using different approaches. After the estimation of the production function by True Fixed Effect Model with truncated normal distribution of inefficiency term, the technical efficiency and inefficiency are calculated. First, the explanatory variables are included into the equation of technical inefficiency mean. Second, after the estimation of the model, the (in)efficiency it is included into Tobit regression as explained variable. There were 1708 observations for 517 firms for 2013–2016. Average technical efficiency was 85.7% and inefficiency 47.4%. When the consumption of material and energy increases, the mean of inefficiency decreases. According to the Tobit model, the efficiency increases, and the inefficiency decreases. The higher are the fixed assets, the higher is the mean of inefficiency or the lower is the efficiency and higher inefficiency. The number of employees influence the efficiency negatively. Coefficient for land is statistically significant only in Tobit model with inefficiency. If the acreage increases, the inefficiency also increases. The best solution for our data is to calculate the technical inefficiency and include explanatory variables into Tobit model where all determinants are statistically significant. Nevertheless, their influence is very mild.

Název v anglickém jazyce

Determinants of farms’ technical (in)efficiency

Popis výsledku anglicky

The aim is to find the determinants that influence the technical (in)efficiency of agricultural holdings using different approaches. After the estimation of the production function by True Fixed Effect Model with truncated normal distribution of inefficiency term, the technical efficiency and inefficiency are calculated. First, the explanatory variables are included into the equation of technical inefficiency mean. Second, after the estimation of the model, the (in)efficiency it is included into Tobit regression as explained variable. There were 1708 observations for 517 firms for 2013–2016. Average technical efficiency was 85.7% and inefficiency 47.4%. When the consumption of material and energy increases, the mean of inefficiency decreases. According to the Tobit model, the efficiency increases, and the inefficiency decreases. The higher are the fixed assets, the higher is the mean of inefficiency or the lower is the efficiency and higher inefficiency. The number of employees influence the efficiency negatively. Coefficient for land is statistically significant only in Tobit model with inefficiency. If the acreage increases, the inefficiency also increases. The best solution for our data is to calculate the technical inefficiency and include explanatory variables into Tobit model where all determinants are statistically significant. Nevertheless, their influence is very mild.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

40301 - Veterinary science

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Days of Statistics and Economics

ISBN

978-80-87990-22-3

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

1049–1058

Název nakladatele

Vysoká škola ekonomická

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

10. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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