Malmquist index shows post-crisis development in the agrarian sector in the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F16%3A70987" target="_blank" >RIV/60460709:41110/16:70987 - 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

Malmquist index shows post-crisis development in the agrarian sector in the Czech Republic

Popis výsledku v původním jazyce

This contribution aims to show the efficiency of agriculture sector in the regions of the Czech Republic and its development from the year 2008 to 2013. For this the Data Envelopment Analysis models and Malmquist index and its decomposition are used. Each region is characterised by three inputs (agricultural land, annual work units and gross fixed capital formation) and by one output (gross value added). Malmquist indices show significant increasing of efficiency in the 2011 although in other years rather negative development can be seen. Seven possible elements of Malmquist index decomposition support the analysis of the reasons of such development. The regions are evaluated and grouped according to received evaluation at the end.

Název v anglickém jazyce

Malmquist index shows post-crisis development in the agrarian sector in the Czech Republic

Popis výsledku anglicky

This contribution aims to show the efficiency of agriculture sector in the regions of the Czech Republic and its development from the year 2008 to 2013. For this the Data Envelopment Analysis models and Malmquist index and its decomposition are used. Each region is characterised by three inputs (agricultural land, annual work units and gross fixed capital formation) and by one output (gross value added). Malmquist indices show significant increasing of efficiency in the 2011 although in other years rather negative development can be seen. Seven possible elements of Malmquist index decomposition support the analysis of the reasons of such development. The regions are evaluated and grouped according to received evaluation at the end.

Druh

O - Ostatní výsledky

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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