Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jain, Swati; Bhagirath, Swami Nisha; Batra, Bhoomika; Bhatnagar, Vaibhav Title A name given to the resource Developing mathematical models to analyze economic growth patterns in emerging market dynamics Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Journal of Interdisciplinary Mathematics;Volume;29;Issue;3;pp.505-516 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47974/JIM-2485" target="_blank" rel="noreferrer noopener">https://doi.org/10.47974/JIM-2485</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033987462?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033987462?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource ANOVA; Economic growth; GDP; Inflation Publisher An entity responsible for making the resource available Taru Publications Relation A related resource ISSN: 9720502; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online