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Az intelligens szakosodási politika gazdasági hatásainak modellezése
[Economic impact assessment of smart specialization policy]

Author

Listed:
  • Varga, Attila
  • Sebestyén, Tamás
  • Szabó, Norbert

Abstract

Míg az európai uniós kohéziós politika hatásainak elemzésében hosszú ideje elterjedt a gazdasági modellek alkalmazása, az Európai Unió közelmúltban bevezetett intelligens szakosodási politikájának (Smart Specialization Strategy, S3) gyakorlatában nem jelentek meg ezek az eszközök. Mindez annak fényében is meglepő, hogy az intelligens szakosodási politika célja a régiók gazdasági növekedésének támogatása, így a hatások vizsgálatához modellszámításokra lenne szükség. Tanulmányunk az eszközrendszer mellőzésének okaként az intelligens szakosodási politikával megjelenő gazdaságmodellezési kihívásokat jelöli meg. A kihívásokra válaszként a földrajzi, makro- és regionális (Geographic, Macro and Regional, GMR) gazdasági hatásokat elemző modellekben olyan fejlesztéseket végeztünk el, amelyek által e modellek (a nemzetközi gyakorlatban elsőként) alkalmassá váltak az intelligens szakosodási politika gazdasági hatásainak az elemzésére. Tanulmányunkban bemutatjuk a GMR-modellekben bevezetett legfontosabb változtatásokat. A szakpolitikai szimulációk pedig azt illusztrálják, hogy miként segíti a modell a döntéshozatalt az intelligens szakosodás priorizációs folyamatában.* Journal of Economic Literature (JEL) kód: C63, L26, M13, O10, R58.

Suggested Citation

  • Varga, Attila & Sebestyén, Tamás & Szabó, Norbert, 2021. "Az intelligens szakosodási politika gazdasági hatásainak modellezése [Economic impact assessment of smart specialization policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 901-929.
    • Handle: RePEc:ksa:szemle:1989
    DOI: 10.18414/KSZ.2021.9.901
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    2. Lengyel, Imre & Vas, Zsófia, 2024. "Az újraiparosítás hatása a hazai térségek felzárkózási pályáira [The impact of reindustrialization on the convergence paths of Hungarian regions]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1176-1198.

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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