The Optimizing Innovation and Global Competitiveness: How linguistic Uniformity drives economic performance, The Chakrabartty-Srivastava function approach

  • Dr.Shubhro chakrabartty Associate Professor Graphic Era Hill University Haldwani Campus
  • Dr. Vandna Srivastava
  • Kumud Kumar Das

Abstract

This paper examines how language acts as a catalyst for economic growth and global competitiveness in advanced economies such as Russia, Japan, Germany, and South Korea. Strong command over national languages, combined with foreign language proficiency, enables effective participation in cross-border trade, technology transfer, and international collaboration. These linguistic capabilities have supported the global success of firms like Mercedes-Benz, BMW, Toyota, Samsung, and Hyundai across key sectors. The study introduces the Chakrabartty–Srivastava Function, a framework linking linguistic diversity with GDP growth by positioning language as a key economic variable. It argues that mother-tongue-based language policies strengthen human capital, improve educational access, and promote long-term socio-economic development. By treating language as a core driver of development rather than a secondary cultural factor, the paper highlights multilingualism as a source of sustained national productivity and economic resilience.

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Author Biography

Dr.Shubhro chakrabartty, Associate Professor Graphic Era Hill University Haldwani Campus

Dr. Shubhro Chakrabartty is an academician and researcher with multidisciplinary interests spanning technology, data science, innovation policy, and socio-economic development. He is actively engaged in research that bridges engineering, analytics, and development studies, with a particular focus on emerging technologies, language economics, and risk management frameworks. Dr. Chakrabartty has contributed to scholarly work addressing global competitiveness, reputational risk, and policy-driven innovation, with publications that emphasize practical relevance and theoretical depth. He is associated with teaching, research supervision, and academic writing, and remains committed to advancing knowledge that supports sustainable economic growth, inclusive development, and global collaboration.

Published
2026-04-18
Section
Special Issue: Recent Advancements in Applied Mathematics and Computing