Author(s) :   Yashas Burra¹, Saiakhil Chilaka²

This paper examines how the State Small Business Credit Initiative (SS- BCI) can strategically invest in small businesses to maximize job creation and reduce unemployment rates. Using a comprehensive dataset from the U.S. Treasury SSBCI transactions, we apply various regression models and machine learning techniques to identify the best predictors for job creation. Our analysis shows that features such as loan investment amount, SSBCI original funds, and full-time employees are critical indicators for job creation. By optimizing these factors, SSBCI can make more informed loan decisions, ensuring that investments not only promote economic growth but also address unemployment disparities, particularly in under-resourced communities. We also explore the broader implications of these investments on economic recovery post-pandemic and propose recommendations for improving SSBCI’s loan distribution strategy.

DOI : 10.61161/ijarcsms.v12i9.8

Pages : 56-63

*Authors are invited to submit papers through E-mail at editor.ijarcsms@gmail.com