Vol. 7, Issue 2, Part E (2025)

Micro, Small, and Medium Enterprises (MSMEs) are vital to India's economic growth, employing millions and contributing significantly to GDP. However, MSMEs face challenges accessing finance and technology, hindering their growth. Institutional support is crucial for addressing these challenges. This study examines the role of institutions in enhancing MSMEs' access to finance and technology, identifying key institutional factors influencing access. A mixed-methods approach was employed, combining surveys (n=500 MSMEs) and in-depth interviews (n=50 institutional stakeholders).Key findings indicate Access to Finance is - Coefficient (β): 0.4 - This indicates that for every one-unit increase in Access to Finance, the dependent variable (likely the growth or performance of MSMEs) increases by 0.4 units, holding all other variables constant.- Standard Error (SE): 0.1 - This indicates the amount of variation in the coefficient estimate.- t-value: 4.0 - This indicates the number of standard errors that the coefficient estimate is away from zero.- p-value: 0.000 - This indicates that the probability of observing the estimated coefficient (or a more extreme value) assuming that the true coefficient is zero is extremely low (less than 0.001). This suggests that the relationship between Access to Finance and the dependent variable is statistically significant. Access to Technology are - Coefficient (β): 0.3 - This indicates that for every one-unit increase in Access to Technology, the dependent variable (likely the growth or performance of MSMEs) increases by 0.3 units, holding all other variables constant.- Standard Error (SE): 0.1 - This indicates the amount of variation in the coefficient estimate.- t-value: 3.0 - This indicates the number of standard errors that the coefficient estimate is away from zero.- p-value: 0.003 - This indicates that the probability of observing the estimated coefficient (or a more extreme value) assuming that the true coefficient is zero is low (less than 0.01). This suggests that the relationship between Access to Technology and the dependent variable is statistically significant.