IDEAS home Printed from https://ideas.repec.org/a/ksa/szemle/1822.html
   My bibliography  Save this article

Az ipar 4.0 hatásainak nyomában - a magyarországi járműipar elemzése
[After the effects of Industry 4.0: an analysis of the Hungarian vehicle industry]

Author

Listed:
  • Takács, Olga
  • Losonci, Dávid
  • Demeter, Krisztina

Abstract

Tanulmányunk célja a digitális átmenet ágazati szintű elemzése a feldolgozóiparban az ipar 4.0-hoz kapcsolt pénzügyi mutatók alapján. Ahhoz, hogy a vizsgálatot a digitális átmenetben élen járó ágazatra szűkíthessük, először javaslatot teszünk a feldolgozóipari ágazatok ipar 4.0-érettségének értékelésére - az Európai Bizottság adatgyűjtéséből származó - 12 technológiai indikátor alapján. Magyarországon az elektronikai és a járműipar jár legelöl a digitális átállásban. Nagyarányú hazai jelenléte indokolta, hogy - egy 2013-2016-os időszakra épített vállalati paneladatbázison - a közútijármű-gyártás esetében vizsgáltuk meg az ipar 4.0-hoz kapcsolt pénzügyi hatásokat. Eredményeink azt mutatják, hogy ebben az ágazatban automatizációs trend érvényesül, azaz kibontakozott az ipar 4.0 folyamatinnováció, amit a hozzáadott érték/működőtőke hányados csökkenése jelez. Arra a következtetésre jutottunk, hogy a sikeres digitális átálláshoz ki kell használni a külföldi cégek technológiatranszferében rejlő lehetőségeket, illetve ösztönözni kell a magyar cégek tanulását e téren. A hozzáadottérték-tartalom növeléséhez a globális értékláncba való bekapcsolódás szintjét is javítani kell. Ebben kulcsszerepe van a feldolgozóipart kiszolgáló szolgáltatási ág fejlesztésének.* Journal of Economic Literature (JEL) kód: L2, L62, M11, O14, O33.

Suggested Citation

  • 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.
    • Handle: RePEc:ksa:szemle:1822
    DOI: 10.18414/KSZ.2019.2.185
    as

    Download full text from publisher

    File URL: http://www.kszemle.hu/tartalom/letoltes.php?id=1822
    Download Restriction: Registration and subscription. 3-month embargo period to non-subscribers.
    File URL: https://libkey.io/10.18414/KSZ.2019.2.185?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lukovics, Miklós & Udvari, Beáta & Zuti, Bence & Kézy, Béla, 2018. "Az önvezető autók és a felelősségteljes innováció [Self-driving vehicles and responsible innovation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 949-974.
    2. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    3. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    4. Pongrácz, Ferenc & Nick, Gábor András, 2017. "Innováció - a fenntartható növekedés kulcsa Magyarországon [Innovation as the key to sustainable economic growth in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 723-737.
    5. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    6. Csoma, Róbert, 2018. "Beruházási támogatások, újraiparosodás és a globális értékláncok [Investment subsidies, reindustrialization and global value chains]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 303-324.
    7. Lengyel, Imre & Lengyel, Balázs & Vas, Zsófia & Szakálné Kanó, Izabella, 2016. "Az újraiparosodás térbeli kérdőjelei Magyarországon [Territorial questions of reindustrialization in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 615-646.
    8. Andrea Szalavetz, 2016. "Global Crisis and Upgrading of MNCs' Manufacturing Subsidiaries: A Case Study of Hungary," Central European Business Review, Prague University of Economics and Business, vol. 2016(1), pages 37-44.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Horváth, Dóra & Szabó, Roland Zs., 2019. "Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 119-132.
    4. Lőrincz, László & Losonci, Dávid & Demeter, Krisztina & Granát, Marcell, 2023. "Digitalizáció és üzleti teljesítmény - hazai feldolgozóipari tapasztalatok [Digitalisation and business performance - focusing on Hungarian manufacturing firms]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 82-102.
    5. Vasvári, Tamás & Danka, Sándor & Hauck, Zsuzsanna, 2019. "Termelés és innováció - tanulságok a hazai iparpolitika számára [Manufacturing and innovation - lessons for Hungarian industry policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1031-1055.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    2. Bernardo S Buarque & Ronald B Davies & Ryan M Hynes & Dieter F Kogler, 2020. "OK Computer: the creation and integration of AI in Europe," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 175-192.
    3. Yining Zhang & Zhong Wu, 2021. "Intelligence and Green Total Factor Productivity Based on China’s Province-Level Manufacturing Data," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    4. Ufuk Akcigit & Sina T. Ates, 2021. "Ten Facts on Declining Business Dynamism and Lessons from Endogenous Growth Theory," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 257-298, January.
    5. Gallipoli, Giovanni & Makridis, Christos A., 2018. "Structural transformation and the rise of information technology," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.
    6. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Vasvári, Tamás & Danka, Sándor & Hauck, Zsuzsanna, 2019. "Termelés és innováció - tanulságok a hazai iparpolitika számára [Manufacturing and innovation - lessons for Hungarian industry policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1031-1055.
    8. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    9. Wim Naudé, 2019. "New Technology, Entrepreneurship and the Revival of Manufacturing in Africa: Opportunities for Youth and Women?," Working Papers idrcdpru4ir, University of Cape Town, Development Policy Research Unit.
    10. Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    11. Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
    12. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    13. Seth G. Benzell & Erik Brynjolfsson, 2019. "Digital Abundance and Scarce Genius: Implications for Wages, Interest Rates, and Growth," NBER Working Papers 25585, National Bureau of Economic Research, Inc.
    14. Naudé, Wim & Dimitri, Nicola, 2018. "The Race for an Artificial General Intelligence: Implications for Public Policy," IZA Discussion Papers 11737, Institute of Labor Economics (IZA).
    15. Mr. Adrian Peralta Alva & Agustin Roitman, 2018. "Technology and the Future of Work," IMF Working Papers 2018/207, International Monetary Fund.
    16. Gries, Thomas & Naude, Wim, 2018. "Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter?," MERIT Working Papers 2018-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    17. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    18. Uwe JIRJAHN & Stephen C. SMITH, 2018. "Nonunion Employee Representation: Theory And The German Experience With Mandated Works Councils," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(1), pages 201-233, March.
    19. Ufuk Akcigit & Sina T. Ates, 2023. "What Happened to US Business Dynamism?," Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2059-2124.
    20. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).

    More about this item

    JEL classification:

    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ksa:szemle:1822. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Odon Sok (email available below). General contact details of provider: http://www.kszemle.hu .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.