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Abstract
Agricultural production and agricultural policy has many special dimensions. The production structure,
income positions, and labour input have large regional disparities, the production intensity is not homogenous
in space, and farms have different risk factors and market possibilities in the different regions of
Hungary. Land use and production technology also varies largely, in many regions farming is competitive,
highly specialized with big corporate farms, while other regions have small individual farms with
mixed production structure and less concentration in land use.
There are no direct data for spatial analysis less aggregated than NUTS 3 level. Only the data of agricultural
census and administrative database for direct payments are available at settlement and microregional
level, but these databases do not provide information of farm income. The income statistics
either cannot be disaggregated to micro-regional level (agricultural accounts) or are not representative at
this level (FADN).
The administrative database of the Paying Agency contains the land use data and limited livestock numbers
for all farms receiving direct payments. The FADN database contains a large accountancy dataset
for a low number of farms. Statistical matching combines these two databases and provides a possibility
for detailed regional analysis using estimated data.