The land use structure of agricultural holdings in the Central and East European Countries and its evolution

Jacek Strojny and Jakub Piecuch
Additional contact information
Jacek Strojny: Department of Mathematical Statistics, Agricultural University in Krakow, Krakow, Poland
Jakub Piecuch: Institute of Economic and Social Sciences, Unit of Economy and Economic Policy, Agricultural University in Krakow, Krakow, Poland

Agricultural Economics, 2017, vol. 63, issue 1, 13-23

Abstract: The taxonomy of agricultural holdings' land use structure of the CEEC countries that are the EU members aims to investigate the diversity of this phenomenon and its evolution in 2005-2010. In order to establish homogenous clusters of land use, a structural taxonomy technique called the vectors elimination method was employed. The research outcome was the split of the entire data set into 5 subgroups characterizing more homogenous land use structures. Migrations of countries between the taxonomic subgroups over time were determined by the character of the transformation of the land use structure.

Keywords: agricultural land; vectors elimination method; CEEC countries (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://agricecon.agriculturejournals.cz/doi/10.17221/237/2015-AGRICECON.html (text/html)
http://agricecon.agriculturejournals.cz/doi/10.17221/237/2015-AGRICECON.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlage:v:63:y:2017:i:1:id:237-2015-agricecon

DOI: 10.17221/237/2015-AGRICECON

Access Statistics for this article

Agricultural Economics is currently edited by Ing. Zdeňka Náglová, Ph.D.

More articles in Agricultural Economics from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().