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Adaptation Of Statistical Matching In Micro-Regional Analysis Of Agricultural Production

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  • Pesti, Csaba S.
  • Kaposzta, Jozsef

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.

Suggested Citation

  • Pesti, Csaba S. & Kaposzta, Jozsef, 2008. "Adaptation Of Statistical Matching In Micro-Regional Analysis Of Agricultural Production," Bulletin of the Szent Istvan University 47555, Szent Istvan University, Faculty of Economics and Social Sciences.
  • Handle: RePEc:ags:siubul:47555
    DOI: 10.22004/ag.econ.47555
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    References listed on IDEAS

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    1. Unknown, 2008. "Institute of Agricultural Economics," Economics of Agriculture, Institute of Agricultural Economics, vol. 55(3).
    2. Stephen Hynes & Karyn Morrissey & Cathal O’Donoghue, 2005. "Building a Static Farm Level Spatial Microsimulation Model: Statistically Matching the Irish National Farm Survey to the Irish Census of Agriculture," Working Papers 0506, Rural Economy and Development Programme,Teagasc.
    3. Vrolijk, Hans C.J. & Dol, Wietse & Kuhlman, Tom, 2005. "Integration of small area estimation and mapping techniques; Tool for Regional Studies," Report Series 29078, Wageningen University and Research Center, Agricultural Economics Research Institute.
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    Cited by:

    1. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.

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