IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/124396.html
   My bibliography  Save this paper

From Globalization to Innovation: Investigating the impact of R&D, Internet Penetration, and Economic Factors on Digitalization in BRICS

Author

Listed:
  • Audi, Marc
  • Ahmad, Khalil
  • Poulin, Marc
  • Ali, Amjad

Abstract

Digitalization has become a pivotal force shaping global trade and economic development, particularly across emerging economies. BRICS nations demonstrate diverse trajectories of digital expansion that reflect varying degrees of globalization, technological adoption, and policy frameworks. This study examines how different dimensions of globalization (economic, social, and political), along with internet penetration, R&D investment, GDP growth, and exchange rate movements, collectively influence digitalization in the BRICS economies. Employing panel data from 2000 to 2022, the analysis uses multiple econometric techniques, panel regression (fixed and random effects), robust least squares, fully modified OLS, dynamic OLS, and panel quantile regression, to capture both short-run and long-run dynamics, as well as distribution-specific impacts on ICT goods exports. Economic globalization, R&D expenditure, and GDP growth consistently show positive and significant effects on digitalization, broader internet penetration is especially critical at early stages. Social and political globalization produce nuanced outcomes depending on institutional and cultural contexts, while currency depreciation exerts a generally negative impact by making technology imports more expensive. The results underscore that BRICS policymakers should stabilize macroeconomic conditions, invest in R&D, expand internet access, and strategically engage with global markets to foster inclusive digital growth. Tailored governance measures and targeted capacity-building efforts are also vital for translating globalization benefits into sustainable digital transformation across these emerging economies.

Suggested Citation

  • Audi, Marc & Ahmad, Khalil & Poulin, Marc & Ali, Amjad, 2025. "From Globalization to Innovation: Investigating the impact of R&D, Internet Penetration, and Economic Factors on Digitalization in BRICS," MPRA Paper 124396, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:124396
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/124396/1/MPRA_paper_124396.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ge, Shuang & Liu, Xielin, 2022. "The role of knowledge creation, absorption and acquisition in determining national competitive advantage," Technovation, Elsevier, vol. 112(C).
    2. Ben, Shenglin & Bosc, Romain & Jiao, Jinpu & Li, Wenwei & Simonelli, Felice & Zhang, Ruidong, 2017. "Digital Infrastructure: Overcoming the digital divide in China and the European Union," CEPS Papers 13194, Centre for European Policy Studies.
    3. Damette, Olivier & Delacote, Philippe, 2012. "On the economic factors of deforestation: What can we learn from quantile analysis?," Economic Modelling, Elsevier, vol. 29(6), pages 2427-2434.
    4. David Audretsch & Erik Lehmann & Mike Wright, 2014. "Technology transfer in a global economy," The Journal of Technology Transfer, Springer, vol. 39(3), pages 301-312, June.
    5. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    6. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    8. repec:pra:mprapa:123874 is not listed on IDEAS
    9. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    10. Yang Liang & Mary E. Lovely & Hongsheng Zhang, 2025. "Targeted Liberalization: China's foreign investment regulation reform and its post‐WTO‐accession export surge," Review of International Economics, Wiley Blackwell, vol. 33(1), pages 166-206, February.
    11. Qingmin Yin & Nan Su & Chenhui Ding, 2024. "The Nonlinear Effects of Digital Finance on Corporate ESG Performance: Evidence from China," Sustainability, MDPI, vol. 16(18), pages 1-27, September.
    12. Audi, Marc & Ali, Amjad, 2019. "The Advancement in Information and Communication Technologies (ICT) and Economic Development: A Panel Analysis," MPRA Paper 93476, University Library of Munich, Germany.
    13. Grybauskas, Andrius & Stefanini, Alessandro & Ghobakhloo, Morteza, 2022. "Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0," Technology in Society, Elsevier, vol. 70(C).
    14. Maurizio Dallocchio & Marcello Lambri & Emiliano Sironi & Emanuele Teti, 2024. "The Role of Digitalization in Cross-Border E-Commerce Performance of Italian SMEs," Sustainability, MDPI, vol. 16(2), pages 1-17, January.
    15. Alma Maciulyte-Sniukiene & Mindaugas Butkus, 2022. "Does Infrastructure Development Contribute to EU Countries’ Economic Growth?," Sustainability, MDPI, vol. 14(9), pages 1-40, May.
    16. Charles C. Snow & Øystein Devik Fjeldstad & Arthur M. Langer, 2017. "Designing the digital organization," Journal of Organization Design, Springer;Organizational Design Community, vol. 6(1), pages 1-13, December.
    17. Minjing Zhu & Lei Zhu, 2025. "Digital economy and coal consumption in emerging Asian economies," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-9, December.
    18. Yang, Fucheng & Luo, Chunyang & Pan, Lu, 2024. "Do digitalization and intellectual capital drive sustainable open innovation of natural resources sector? Evidence from China," Resources Policy, Elsevier, vol. 88(C).
    19. Mahmut Yasar & Carl H. Nelson & Roderick Rejesus, 2006. "Productivity and Exporting Status of Manufacturing Firms: Evidence from Quantile Regressions," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 142(4), pages 675-694, December.
    20. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
    21. Debao Dai & Yaodong Fan & Guangyu Wang & Jiaping Xie, 2022. "Digital Economy, R&D Investment, and Regional Green Innovation—Analysis Based on Provincial Panel Data in China," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
    22. Matt, Dominik T. & Pedrini, Giulio & Bonfanti, Angelo & Orzes, Guido, 2023. "Industrial digitalization. A systematic literature review and research agenda," European Management Journal, Elsevier, vol. 41(1), pages 47-78.
    23. Paul M. Romer, 1994. "The Origins of Endogenous Growth," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 3-22, Winter.
    24. John C. Eklund, 2022. "The knowledge‐incentive tradeoff: Understanding the relationship between research and development decentralization and innovation," Strategic Management Journal, Wiley Blackwell, vol. 43(12), pages 2478-2509, December.
    25. Mihika Chatterjee & Ikuno Naka, 2022. "Twenty years of BRICS: political and economic transformations through the lens of land," Oxford Development Studies, Taylor & Francis Journals, vol. 50(1), pages 2-13, January.
    26. Liu, Yanan & Tang, Yugang, 2021. "Epidemic shocks and housing price responses: Evidence from China's urban residential communities," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    27. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    28. Bakari, Sayef, 2024. "The Role of Digitalization, Natural Resources, and Trade Openness in Driving Economic Growth: Fresh Insights from East Asia-Pacific Countries," MPRA Paper 121643, University Library of Munich, Germany.
    29. Wei, Feiqiong & Xie, Baiwei & Chen, Mingyan, 2025. "Digital financial inclusion, e-commerce development and entrepreneurial activity," International Review of Financial Analysis, Elsevier, vol. 97(C).
    30. Anatolii Mazaraki & Tetiana Melnyk & Svitlana Melnychenko & Liudmyla Kudyrko & Tetyana Lositska & Kateryna Pugachevska, 2021. "Import substitution potential in the conditions of digital transformation," Monographs, PC TECHNOLOGY CENTER, number 978-617-7319-51-0.redif, December.
    31. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    32. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    33. Zheng, Ye & Gong, Bing, 2024. "Nexus between natural resources and digital economy: The role of geopolitical risk," Resources Policy, Elsevier, vol. 89(C).
    34. Afshan, Sahar & Leong, Ken Yien & Najmi, Arsalan & Razi, Ummara & Lelchumanan, Bawani & Cheong, Calvin Wing Hoh, 2024. "Fintech advancements for financial resilience: Analysing exchange rates and digital currencies during oil and financial risk," Resources Policy, Elsevier, vol. 88(C).
    35. Elitsa R Banalieva & Charles Dhanaraj, 2019. "Internalization theory for the digital economy," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(8), pages 1372-1387, October.
    36. David J. Teece, 2025. "The multinational enterprise, capabilities, and digitalization: governance and growth with world disorder," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 56(1), pages 7-22, February.
    37. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    38. Anastasios I. Magoutas & Maria Chaideftou & Dimitra Skandali & Panos T. Chountalas, 2024. "Digital Progression and Economic Growth: Analyzing the Impact of ICT Advancements on the GDP of European Union Countries," Economies, MDPI, vol. 12(3), pages 1-17, March.
    39. Alessandra Colecchia & Paul Schreyer, 2002. "ICT Investment and Economic Growth in the 1990s: Is the United States a Unique Case? A Comparative Study of Nine OECD Countries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 408-442, April.
    40. Xun Zhang & Guanghua Wan & Jing Li & Zongyue He, 2020. "Global spatial economic interaction: knowledge spillover or technical diffusion?," Spatial Economic Analysis, Taylor & Francis Journals, vol. 15(1), pages 5-23, January.
    41. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    42. Fernández-Portillo, Antonio & Almodóvar-González, Manuel & Hernández-Mogollón, Ricardo, 2020. "Impact of ICT development on economic growth. A study of OECD European union countries," Technology in Society, Elsevier, vol. 63(C).
    43. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
    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. Marc Audi & Marc Poulin & Khalil Ahmad & Amjad Ali, 2025. "Modeling Disaggregate Globalization to Carbon Emissions in BRICS: A Panel Quantile Regression Analysis," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
    2. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, vol. 12(24), pages 1-16, December.
    3. Panayiotis Tzeremes, 2022. "The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework," Studies in Microeconomics, , vol. 10(1), pages 7-22, June.
    4. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    5. You, Wan-Hai & Zhu, Hui-Ming & Yu, Keming & Peng, Cheng, 2015. "Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels," World Development, Elsevier, vol. 66(C), pages 189-207.
    6. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    7. Behera, Deepak Kumar & Dash, Umakant, 2019. "Prioritization of government expenditure on health in India: A fiscal space perspective," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    8. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    9. Ben-Salha Ousama & Zmami Mourad, 2020. "The impact of private capital flows on economic growth in the MENA region," Economics and Business Review, Sciendo, vol. 6(3), pages 45-67, August.
    10. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    11. Husnain, Muhammad Iftikhar ul & Nasrullah, Nasrullah & Khan, Muhammad Aamir & Banerjee, Suvajit, 2021. "Scrutiny of income related drivers of energy poverty: A global perspective," Energy Policy, Elsevier, vol. 157(C).
    12. Cao, Chunyan & Chen, Wei & Aslam, Misbah, 2023. "COP26 perspective of natural resources extraction: Oil and mineral resources perspective of developed economies," Resources Policy, Elsevier, vol. 82(C).
    13. Jorge Eduardo Camusso & Ana Inés Navarro, 2021. "Asymmetries in aggregate income risk over the business cycle: evidence from administrative data of Argentina," Asociación Argentina de Economía Política: Working Papers 4447, Asociación Argentina de Economía Política.
    14. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    15. Abid, Nabila & Ahmad, Fayyaz & Aftab, Junaid & Razzaq, Asif, 2023. "A blessing or a burden? Assessing the impact of Climate Change Mitigation efforts in Europe using Quantile Regression Models," Energy Policy, Elsevier, vol. 178(C).
    16. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Yoon, Seong-Min & Kang, Sang Hoon, 2019. "FDI, income, and environmental pollution in Latin America: Replication and extension using panel quantiles regression analysis," Energy Economics, Elsevier, vol. 84(C).
    17. Su, Chi Wei & Yue, Peiwen & Hou, Xinmeng & Dördüncü, Hazar, 2023. "Sustainable development through digital innovation: A new era for natural resource extraction and trade," Resources Policy, Elsevier, vol. 85(PB).
    18. Mehmet Balcilar & Ojonugwa Usman & George N. Ike, 2023. "Investing green for sustainable development without ditching economic growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 728-743, April.
    19. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016. "IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade," Econometrica, Econometric Society, vol. 84, pages 809-833, March.
    20. Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.

    More about this item

    Keywords

    Globalization; Digitalization; Internet Penetration; R&D;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:124396. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.