The International Competitiveness of Hungarian Agriculture: Past Performance and Future Projections

Matthew Gorton, Sophia Davidova, Martin Banse () and Alistair Bailey

Post-Communist Economies, 2006, vol. 18, issue 1, 69-84

Abstract: The past and future international competitiveness of Hungarian agriculture is assessed by calculating domestic resource cost (DRC) ratios using data for 2000-02 as a base. Future international competitiveness is estimated for 2007 and 2013 under three scenarios: baseline (no accession), accession with historical rates of productivity growth and accession with dynamic improvements in productivity. Predicted price changes were generated by a computable general equilibrium (CGE) model, which was applied to quantify the implications of the 2004 EU accession. The analysis indicates that accession will have a negative impact on the international competitiveness of Hungarian agriculture by increasing land and labour prices. To maintain competitiveness in the arable sector, Hungary will need to achieve dynamic improvements in productivity to offset the effect of higher factor costs. The dairy sector, under all scenarios, is likely to remain internationally uncompetitive.

Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/14631370500505289 (text/html)
Access to full text is restricted to subscribers.

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:taf:pocoec:v:18:y:2006:i:1:p:69-84

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CPCE20

DOI: 10.1080/14631370500505289

Access Statistics for this article

Post-Communist Economies is currently edited by Roger Clarke

More articles in Post-Communist Economies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().