Developing mathematical models to analyze economic growth patterns in emerging market dynamics
- Title
- Developing mathematical models to analyze economic growth patterns in emerging market dynamics
- Creator
- Jain, Swati; Bhagirath, Swami Nisha; Batra, Bhoomika; Bhatnagar, Vaibhav
- Description
- A key factor in determining national development and directing successful market strategies is economic growth. Making better judgements in developing countries is facilitated for investors and policymakers by having a better understanding of the main drivers of growth. The purpose of this paper is to use mathematical models to explain how economic growth patterns vary among the major growing nations. It examines the effects of inflation, foreign investment, trade, and current account balances on the GDP growth of five major economies India, China, Russia, Brazil, and South Africa between the year 2005 to 2025. The study presents how these variables connect to growth and vary among nations using techniques like logistic regression, linear regression, and ANOVA. TARU PUBLICATIONS.
- Source
- Journal of Interdisciplinary Mathematics;Volume;29;Issue;3;pp.505-516
- Date
- 01-01-2026
- Publisher
- Taru Publications
- Subject
- ANOVA; Economic growth; GDP; Inflation
- Coverage
- Jain S., Department of Commerce, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Bhagirath S.N., Department of Computer Applications, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India; Batra B., Department of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Bhatnagar V., Department of Computer Applications, Manipal University Jaipur, Rajasthan, Jaipur, 303007, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 9720502;
- Format
- online
- Language
- English
- Type
- Article
Collection
Citation
Jain, Swati; Bhagirath, Swami Nisha; Batra, Bhoomika; Bhatnagar, Vaibhav, “Developing mathematical models to analyze economic growth patterns in emerging market dynamics,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23650.
