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Survival and Growth of Family Farms in a Transition Country – The Hungarian Case

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Author Info
Bakucs, Zoltan L.
Ferto, Imre

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Abstract

The paper investigates the validity of Gibrat’s Law in Hungarian agriculture. We use FADN data between 2001 and 2007 and employ quantile regression techniques to test the validity of Gibrat’s Law across quantiles. The Law is strongly rejected for all quantiles, providing strong evidence that smaller farms tend to grow faster than larger ones. We provide a number of socio-economic factors that can explain farm growth. Of these we found that total subsidies received by farm and far operator’s age are the most significant factors.

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Publisher Info
Paper provided by European Association of Agricultural Economists in its series 111th Seminar, June 26-27, 2009, Canterbury, UK with number 52846.

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Date of creation: 20 Aug 2009
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Handle: RePEc:ags:eaa111:52846

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Related research
Keywords: Gibrat’s Law; family farm; quantile regression; transition agriculture; Community/Rural/Urban Development; Consumer/Household Economics; P32; Q12; Q19;

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This page was last updated on 2009-11-26.

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