IDEAS home Printed from https://ideas.repec.org/a/apd/rper00/y2026i75id910.html

Governança da Inteligência Artificial e Desenvolvimento Industrial: Spillovers Transnacionais, Transferência de Tecnologia e Implicações Territoriais Sustentáveis no Brasil

Author

Listed:
  • Klemens Katterbauer
  • Rui Alexandre Castanho

    (WSB University, Dabrowa Górnicza-Poland)

  • Sema Yılmaz

    (Yıldız Technical University, Departement of Economics)

Abstract

Este estudo analisa a relação entre a governança da inteligência artificial (IA) e o desenvolvimento industrial, com foco nos efeitos de spillover transnacionais do quadro regulatório da China sobre o Brasil. Posicionado na interseção entre governança tecnológica, desenvolvimento territorial e sustentabilidade, o artigo examina como modelos emergentes de regulação da IA geram impactos indiretos em economias parceiras através de mecanismos de transferência de tecnologia, complementaridades infraestruturais e alinhamento regulatório. Utilizando uma abordagem de diferenças-em-diferenças (DiD) aplicada a dados em painel de 25 setores industriais brasileiros (2019–2025), os resultados indicam que os setores com maior exposição à IA registaram um aumento significativo na produção após a formalização da cooperação China–Brasil em IA. Os resultados evidenciam ainda que estes efeitos são mediados por ecossistemas tecnológicos open-source, pelo aumento do investimento em infraestruturas digitais e pela redução da incerteza regulatória, contribuindo para um melhor desempenho industrial e maior capacidade adaptativa. Para além dos efeitos económicos, o estudo destaca as implicações territoriais da governança da IA, nomeadamente na promoção de um desenvolvimento regional mais equilibrado, no reforço dos ecossistemas de inovação e no apoio a trajetórias mais sustentáveis e resilientes. O artigo contribui para a literatura ao introduzir o conceito de spillovers regulatórios transnacionais como motor de transformação territorial sustentável, oferecendo implicações relevantes para decisores políticos e stakeholders no contexto da transição digital global.

Suggested Citation

  • Klemens Katterbauer & Rui Alexandre Castanho & Sema Yılmaz, 2026. "Governança da Inteligência Artificial e Desenvolvimento Industrial: Spillovers Transnacionais, Transferência de Tecnologia e Implicações Territoriais Sustentáveis no Brasil," RPER, Associação Portuguesa para o Desenvolvimento Regional, issue 75, pages 9-25, August.
    • Handle: RePEc:apd:rper00:y:2026:i:75:id:910
    DOI: 10.59072/rper.vi75.910
    as

    Download full text from publisher

    File URL: https://www.review-rper.com/index.php/rper/article/view/910
    File Function: Abstract page
    Download Restriction: no
    File URL: https://www.review-rper.com/index.php/rper/article/download/910/572
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.59072/rper.vi75.910?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
    ---><---

    References listed on IDEAS

    as
    1. Edward W. Felten & Manav Raj & Robert Seamans, 2018. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 54-57, May.
    Full references (including those not matched with items on IDEAS)

    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. Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
    2. Nicolaj S{o}ndergaard Muhlbach, 2021. "occ2vec: A principal approach to representing occupations using natural language processing," Papers 2111.02528, arXiv.org, revised Jul 2022.
    3. Christina Gathmann & Felix Grimm & Erwin Winkler, 2024. "AI, Task Changes in Jobs, and Worker Reallocation," CESifo Working Paper Series 11585, CESifo.
    4. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Ratio Working Papers 370, The Ratio Institute.
    5. Pablo Casas & José L. Torres, 2023. "Automation, automatic capital returns, and the functional income distribution," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(1), pages 113-135, January.
    6. John Chung & Yong Suk Lee, 2023. "The Evolving Impact of Robots on Jobs," ILR Review, Cornell University, ILR School, vol. 76(2), pages 290-319, March.
    7. Enrico Maria Fenoaltea & Dario Mazzilli & Aurelio Patelli & Angelica Sbardella & Andrea Tacchella & Andrea Zaccaria & Marco Trombetti & Luciano Pietronero, 2024. "Follow the money: a startup-based measure of AI exposure across occupations, industries and regions," Papers 2412.04924, arXiv.org, revised Dec 2024.
    8. Ljubica Nedelkoska & Dario Diodato & Frank Neffke, 2018. "Is Our Human Capital General Enough to Withstand the Current Wave of Technological Change?," Growth Lab Working Papers 115, Harvard's Growth Lab.
    9. Andrew Green & Lucas Lamby, 2025. "The Characteristics of the Artificial Intelligence Workforce across OECD Countries," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 68(2), pages 541-568, June.
    10. Dario Guarascio & Jelena Reljic & Roman Stöllinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," CIMEO Working Paper Series 174, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
    11. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    12. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Macroeconomic and Labor Market Drivers of AI Adoption in Europe: A Machine Learning and Panel Data Approach," Economies, MDPI, vol. 13(8), pages 1-62, August.
    13. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020. "AI and Jobs: Evidence from Online Vacancies," NBER Working Papers 28257, National Bureau of Economic Research, Inc.
    14. Sabrina Genz & Terry Gregory & Florian Lehmer, 2026. "AI‐powered skill classification: mapping technology intensity in the German labour market," Fiscal Studies, John Wiley & Sons, vol. 47(1), pages 25-51, March.
    15. Fossen, Frank M. & Sorgner, Alina, 2021. "Digitalization of work and entry into entrepreneurship," Journal of Business Research, Elsevier, vol. 125(C), pages 548-563.
    16. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
    17. Xiang Hui & Oren Reshef & Luofeng Zhou, 2023. "The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market," CESifo Working Paper Series 10601, CESifo.
    18. Agrawal, Ajay & Gans, Joshua S. & Goldfarb, Avi, 2024. "Prediction machines, insurance, and protection: An alternative perspective on AI’s role in production," Journal of the Japanese and International Economies, Elsevier, vol. 72(C).
    19. Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2023. "Skills-displacing technological change and its impact on jobs: challenging technological alarmism?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(3), pages 370-392, April.
    20. Koch, Michael & Lodefalk, Magnus, 2024. "Artificial Intelligence and Worker Stress: Evidence from Germany," Working Papers 2024:5, Örebro University, School of Business.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:apd:rper00:y:2026:i:75:id:910. 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: Elisabete Martins (email available below). General contact details of provider: https://www.review-rper.com/index.php/rper .

    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.