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A digitalizáció hatása a vállalati hozzáadott értékre Magyarországon
[The effect of digitalization on corporate added value in Hungary]

Author

Listed:
  • Madari, Zoltán
  • Hartvig, Áron Dénes
  • Pap, Áron
  • Wimmer, Ágnes
  • Oroszné Csesznák, Anita

Abstract

Tanulmányunkban statisztikai és ökonometriai módszerek segítségével vizsgáljuk a digitalizáció hatását a vállalati hozzáadott értékre magyar vállalatok esetén. A Budapesti Corvinus Egyetem Versenyképesség Kutató Központja Versenyben a világgal elnevezésű kutatási programja hatodik kérdőíves felmérésének adatbázisán mikroszintű ökonometriai modellt építettünk. A digitalizációs felkészültség alapján létrehozott öt vállalati klasztert vizsgálva - kontrollváltozók használata mellett - kimutatható, hogy a digitalizációban elmaradó, arra kevésbé nyitott vállalatok szignifikánsan alacsonyabb hozzáadott értéket termelnek. Ez a hatás iparági bontásban megfigyelhető a kereskedelem-gépjárműjavítás ágazatban, viszont a feldolgozóipar esetén már nem látható szignifikáns különbség. Journal of Economic Literature (JEL) kód: C81, C83, D24.

Suggested Citation

  • Madari, Zoltán & Hartvig, Áron Dénes & Pap, Áron & Wimmer, Ágnes & Oroszné Csesznák, Anita, 2023. "A digitalizáció hatása a vállalati hozzáadott értékre Magyarországon [The effect of digitalization on corporate added value in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 672-689.
  • Handle: RePEc:ksa:szemle:2128
    DOI: 10.18414/KSZ.2023.6.672
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    References listed on IDEAS

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    1. Eller, Robert & Alford, Philip & Kallmünzer, Andreas & Peters, Mike, 2020. "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization," Journal of Business Research, Elsevier, vol. 112(C), pages 119-127.
    2. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
    3. Éltető, Andrea & Sass, Magdolna, 2021. "A kapitalizmus változatai és az ipar 4.0 a visegrádi országokban [Varieties of capitalism and industry 4.0 in the Visegrad countries]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 490-514.
    4. Márkus, Gábor & Rideg, András, 2021. "A magyar mikro-, kis- és középvállalatok versenyképessége és pénzügyi teljesítménye [Modelling and empirical analysis of relations between the competence-based competitiveness and financial perform," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 617-644.
    5. Takács, Olga & Losonci, Dávid & Demeter, Krisztina, 2019. "Az ipar 4.0 hatásainak nyomában - a magyarországi járműipar elemzése [After the effects of Industry 4.0: an analysis of the Hungarian vehicle industry]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 185-218.
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    1. Czakó, Erzsébet & Losonci, Dávid & Kiss-Dobronyi, Bence, 2024. "Menedzsmentgyakorlatok és a hazai vállalatok árbevétel-változása a Covid-19 jelentette gazdasági sokk idején [Management practices and changes in turnover of domestic firms during the Covid-19 econ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 229-254.

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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