Determinants of farms’ technical (in)efficiency
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61384399:31140/20:00055807
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Determinants of farms’ technical (in)efficiency
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
40301 - Veterinary science
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Days of Statistics and Economics
ISBN
978-80-87990-22-3
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1049–1058
Publisher name
Vysoká škola ekonomická
Place of publication
Praha
Event location
Praha
Event date
Sep 10, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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