• Gargi Sharma
• Dr. J.N. Sharma

The aim of this study is to investigate the relationship between economic growth and the Indian banking industry by evaluating time series data from 1990 to 2022. The Optimal Lag length criterion, the Bounds test, the Error Correction Mechanism, the Diagnostics statistics, the ADF and PP Unit Root tests, and the Bounds test have all been considered in the application of the Autoregressive Distributed Lag approach to achieve this goal. Additionally, we approximated the models for FMOLS, DOLS, and Canonical co-integrating. Foreign direct investment and gross fixed capital formation serve as the control variables, and the credit deposit ratio, credit accounts, credit amount per account and the number of bank branches have all been examined as independent variables. GDP has been used as a proxy for economic activity. In light of the study's results, it can be said that the variables FDI and GCFN, along with the control variables number of branches, credit deposit ratio, credit accounts, and credit amount per account, all have a statistically significant long-term effect on Economic Growth in India.

GDP, ARDL, Statistically significant, Public Sector banks, Co-integration

"Economic Growth and Banking Nexus in India: An ARDL Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.h212-h234, December-2023, Available :http://www.jetir.org/papers/JETIR2312726.pdf

"Economic Growth and Banking Nexus in India: An ARDL Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. pph212-h234, December-2023, Available at : http://www.jetir.org/papers/JETIR2312726.pdf