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Tíz év az Európai Unióban - az új tagországok agrárteljesítményei
[A decade in the EU: the agricultural performances of the new member-states]

Author

Listed:
  • Jámbor, Attila
  • Kovács, Sándor
  • Somai, Miklós

Abstract

Több mint tíz év telt el az Európai Unió 2004. évi kibővülése óta. A tízéves évforduló jó lehetőséget kínált a mérlegkészítésre, annak vizsgálatára, hogy a legfrissebb elérhető adatok tükrében milyen fejlődési pályát tudhatnak maguk mögött az új tagországok mezőgazdasági szektorai. Írásunk célja a tíz kelet- európai EU-tagállam agrárteljesítményének értékelése, illetve ez alapján a csatlakozás nyerteseinek, illetve veszteseinek azonosítása. A rendelkezésre álló adatokat a többdimenziós faktoranalízis módszerével feldolgozva arra az eredményre jutottunk, hogy Lengyelország, Észtország és Litvánia hármasa tekinthető az agrárcsatlakozás abszolút nyertesének, míg a többi új tagállam nem volt képes teljes mértékben kihasználni a csatlakozás adta lehetőségeket. Az eredményekből az is látható, hogy a magas hozzáadott értékű termékekre való szakosodás jó stratégiának bizonyult, mert gyorsabb fejlődést biztosított, mint a mezőgazdasági alaptermékekre való koncentrálás. Journal of Economic Literature (JEL) kód: Q18, C38.

Suggested Citation

  • Jámbor, Attila & Kovács, Sándor & Somai, Miklós, 2016. "Tíz év az Európai Unióban - az új tagországok agrárteljesítményei [A decade in the EU: the agricultural performances of the new member-states]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 260-284.
    • Handle: RePEc:ksa:szemle:1618
    DOI: 10.18414/KSZ.2016.3.260
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    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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