Effective Model of Knowledge-Based Transformation and Sustainable Development in BRICS-T Countries

Pessoa G. Orynbassarova Y. Sabyrzhan A. Renobell V. Ponkratov V. Kaldibayev N. Nikolaeva I. Pozdnyaev A. Shkalenko A. Philippov D. Dudnik O.
June 2025 Ital Publication

Emerging Science Journal
2025 #9 Issue 3 1709 - 1730 pp.

This article presents a novel empirical framework for evaluating knowledge-based transformation and sustainable development in BRICS-T countries. The framework is based on an integrated Triple Helix assessment model that quantifies the interrelationships between research output, educational innovation, industry engagement, market alignment and policy support. Using a comprehensive dataset from 60 universities across BRICS-T countries, combined with an AHP-based weighting system derived from 24 cross-sector experts, this study reveals previously unidentified patterns in innovation and educational outcomes. Our method demonstrates that only research output (β = 0.375, p < 0.001) and industry engagement (β = 0.418, p < 0.001) consistently predict innovation output across all BRICS-T countries, while market alignment influences educational quality in only four out of the six nations. The analytical framework successfully quantifies significant performance variations across countries, with innovation output scores ranging from 2.89 to 4.23 and educational quality scores ranging from 3.08 to 4.15. The findings contribute to Triple Helix theory through country-specific decomposition of relationships, supplementing existing knowledge-based economy theories with quantitative evidence of differential effectiveness across emerging economies. This methodology can be implemented for strategic planning in higher education systems transitioning from resource-based to knowledge-based economies.

BRICS-T Countries , Cross-Country Analysis , Development Challenges , Educational Quality , Innovation Output , Knowledge-based Economy , Research Output , Resource-based Economy , Triple Helix Model , University-Industry Collaboration

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Getulio Vargass Foundation-São Paulo School of Business Administration (FGV-EAESP), São Paulo, Brazil
Department of Management and Innovation, Karaganda University of Kazpotrebsoyuz, Karaganda, Kazakhstan
Department of Economics and International Business, Karaganda Buketov University, Karaganda, Kazakhstan
School of Law, Universidad Internacional de la Rioja, La Rioja, Logroño, Spain
Institute for Research on Socio-Economic Transformations and Financial Policy, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
Department of Corporate Economics and Management, Tashkent State University of Economics, Tashkent, Uzbekistan
Institute of Mathematics and Information Science, M.K. Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
Research Sector, Moscow Polytechnic University, Moscow, Russian Federation
Department of State and Municipal Finance, Plekhanov Russian University of Economics, Moscow, Russian Federation
I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation

Getulio Vargass Foundation-São Paulo School of Business Administration (FGV-EAESP)
Department of Management and Innovation
Department of Economics and International Business
School of Law
Institute for Research on Socio-Economic Transformations and Financial Policy
Department of Corporate Economics and Management
Institute of Mathematics and Information Science
Research Sector
Department of State and Municipal Finance
I.M. Sechenov First Moscow State Medical University

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