The Union Budget of India for 2026–27 proposes the creation of a Rs. 10,000 crore growth fund for micro, small, and medium enterprises (MSMEs). Building on this, researchers Chakraborty and Singh argue that India should strengthen its MSME financing ecosystem by establishing guarantee institutions in partnership with the private sector and adopting modern credit-scoring-based lending techniques, drawing lessons from developed economies.
MSME financing remains a persistent policy challenge, largely due to structural constraints in access to credit. Research by Stiglitz and Weiss highlights that MSMEs often face high collateral requirements, higher borrowing costs, and limited access to equity capital. A key issue is information asymmetry between banks and small firms, which makes it difficult for lenders to assess risk accurately. This leads to credit rationing, where more productive firms may be denied loans while less efficient ones receive funding, pushing many MSMEs in developing countries, including India, toward informal borrowing channels.
The literature identifies two main lending approaches: transactional lending, which relies on hard quantitative data, and relationship lending, which depends on long-term qualitative interactions between banks and borrowers. Relationship lending is often considered more suitable for MSMEs because it allows banks to assess creditworthiness over time through continuous engagement. It is typically associated with smaller or local banks, offering more flexible loan arrangements, especially during periods of financial stress.
However, transaction-based lending is not a single uniform system. It includes multiple techniques such as credit scoring, asset-based lending, leasing, and financial statement lending. While some methods are suited to transparent borrowers, others can be adapted for MSMEs with limited financial data. This diversity is often overlooked in policy discussions, even though it plays an important role in determining credit access for small businesses.
The German lending system offers a strong example of how institutional structures can support MSME finance. Germany’s “Mittelstand” firms, despite being small in size, contribute significantly to employment and exports. These firms benefit from a three-pillar banking system consisting of commercial, savings, and cooperative banks, which together balance profitability with long-term support for enterprises. Strong institutional coordination between banks, industry, and the state helps reduce lending risks and improve credit access for MSMEs.
A key feature of the German model is the presence of Guarantee Banks, which operate through public-private partnerships to reduce lending risk. These institutions provide guarantees to banks in case of MSME loan defaults, thereby reducing the impact of collateral limitations. By conducting their own risk assessments, these guarantee institutions help address information gaps and reduce credit rationing, improving overall lending efficiency.
In contrast, countries like the United States, the United Kingdom, and Japan have increasingly adopted credit scoring systems for MSME lending. This approach uses quantitative models to evaluate borrower risk and is particularly effective for large banks due to economies of scale. However, in developing economies like India, adoption has been slower due to limited infrastructure and a focus by large banks on bigger firms. This highlights the need for stronger institutional support, such as credit bureaus, to enable wider adoption.
For India, the key policy lesson is that MSME financing depends not just on funding availability but on the underlying lending infrastructure. A combination of guarantee institutions, as seen in Germany, and credit-scoring systems, as used in advanced economies, could improve access to finance. Strengthening institutional frameworks and enabling diverse lending technologies would help bridge credit gaps and ensure more efficient allocation of financial resources to MSMEs.
