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Determinants of the revealed comparative advantages: The case of the European ham trade

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  • Aron TOROK

    (Corvinus University of Budapest, Budapest, Hungary)

  • Attila JAMBOR

    (Corvinus University of Budapest, Budapest, Hungary)

Abstract

Revealed comparative advantages are widely used by the global literature to analyse the international trade flows, though agricultural trade is usually neglected in the empirical works. Moreover, the determinants of revealed comparative advantages are scarcely investigated. This article analyses revealed comparative advantages in European ham trade from 1999 to 2013 and identifies its determinants by using the panel data econometrics. The results suggest that quality linked to the production area highly affects the competitiveness of the European ham trade. Also, the EU accession is positively correlated with the competitiveness, meaning that the economic integration fosters competitiveness. However, in spite of the initial expectations, the FDI is negatively related to the competitiveness of the European ham trade, underlining the importance of the national ham processing companies.

Suggested Citation

  • Aron TOROK & Attila JAMBOR, 2016. "Determinants of the revealed comparative advantages: The case of the European ham trade," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(10), pages 471-482.
    • Handle: RePEc:caa:jnlage:v:62:y:2016:i:10:id:177-2015-agricecon
    DOI: 10.17221/177/2015-AGRICECON
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    1. Štefan Bojnec & Imre Fertő, 2012. "Complementarities of trade advantage and trade competitiveness measures," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 399-408, February.
    2. BOJNEC, Stefan & FERTO, Imre, 2009. "Determinants of agro-food trade competition of Central European countries with the European Union," China Economic Review, Elsevier, vol. 20(2), pages 327-337, June.
    3. Thomas Vollrath, 1991. "A theoretical evaluation of alternative trade intensity measures of revealed comparative advantage," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 127(2), pages 265-280, June.
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    2. Cristina Vaquero Piñeiro & Daniele Curzi, 2024. "Assessing the role of geographical indications in affecting the quality of imports," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 653-671, June.

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