Modelling the effects of an abolition of the EU sugar quota on internal prices, production and imports

Stephan Nolte, Jeroen Buysse and Guido Van Huylenbroeck

European Review of Agricultural Economics, 2012, vol. 39, issue 1, 75-94

Abstract: We apply a spatial price equilibrium model of the world sugar market to simulate an abolition of the European Union (EU) quota system in 2015/16. To overcome the normative nature of the approach, we calibrate the model by attaching a non-linear cost term to each trade flow. This is in some regards similar to positive mathematical programming. We suggest an economic interpretation and an econometric specification of the cost term. EU sugar production is simulated to increase from 13.3 to 15.5 million tons in case of quota abolition by 2019/20. Ten member states increase production, nine reduce it. Preferential imports are significantly reduced. Simulated effects are found to be more pronounced the higher the world market price. , Oxford University Press.

Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://hdl.handle.net/10.1093/erae/jbr043 (application/pdf)
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:oup:erevae:v:39:y:2012:i:1:p:75-94

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Céline Nauges and Vincenzina Caputo

More articles in European Review of Agricultural Economics from Oxford University Press and the European Agricultural and Applied Economics Publications Foundation Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().