Venture capital disparities receive substantial attention. Venture capital funds a very small minority of businesses.

The great majority are financed by retained earnings, personal savings, informal borrowing and bank credit, and the disparities in those channels affect far more people.

What the research finds

Studies of small business lending have examined whether outcomes differ by owner gender, and findings vary by market and method.

Several studies have found differences in approval rates, in the terms offered, or in the collateral required, after controlling for observable business characteristics.

Others have found that differences largely disappear after controlling for business size, sector, age and credit history — which raises the question of why those characteristics differ, rather than settling it.

Audit studies, where matched applications differing only in the applicant's gender are submitted, provide stronger evidence of differential treatment where they've been conducted, with findings varying by context.

The discouraged borrower effect

A mechanism that operates before any application and is easily missed.

Research has found that women business owners are more likely to be discouraged borrowers — not applying because they anticipate rejection.

This matters because discouraged borrowers don't appear in approval statistics. A market with equal approval rates can still allocate credit unevenly if application rates differ.

Studies examining whether discouragement is well-founded have produced mixed results, with some finding that discouraged borrowers would have had reasonable approval prospects.

The collateral problem

A structural mechanism that operates without any bias in the lending decision.

Secured lending requires assets. Where property ownership is uneven — and in many countries it is, whether through legal frameworks, inheritance practice or the effects of the pay and pension gaps — access to secured lending is correspondingly uneven.

This is a case where an entirely neutral lending policy produces unequal outcomes because the inputs are unequal.

It's also why unsecured and alternative lending, and guarantee schemes that substitute for collateral, have particular relevance.

Sector and scale effects

Businesses owned by women are concentrated in sectors with particular characteristics: services, retail and care, which are frequently asset-light and lower-margin.

Asset-light businesses have less collateral. Lower-margin businesses have thinner coverage for loan servicing. Both affect lending decisions on conventional criteria.

Whether the sector concentration itself reflects constrained choice is a separate question, and the lending consequences follow regardless.

Microfinance, examined

Frequently cited as a solution and the evidence is more measured than the enthusiasm.

Randomised evaluations of microcredit have generally found modest effects on business investment and limited effects on income, consumption or broader welfare measures.

Effects on women's empowerment measures have been mixed across studies.

This isn't a case against microfinance, which serves real needs and reaches people excluded from conventional banking. It's a case against the claim that it's transformative, which the evidence doesn't support.

Interest rates in this sector are frequently high, reflecting genuine costs of small-scale lending, and over-indebtedness has been a documented problem in some markets.

What has evidence

Guarantee schemes. Public guarantees substituting for collateral address the specific structural barrier and have shown effects in evaluations.

Alternative credit assessment. Using transaction data, payment history or other information rather than relying on collateral and formal credit history.

Digital lending. Where decisions are algorithmic and based on transaction data, some of the discretion that permits differential treatment is removed. This carries its own risks — algorithms trained on historical data can encode historical patterns — so it isn't automatically an improvement.

Business support alongside finance. Evaluations of programmes combining credit with training and advice have generally found stronger effects than credit alone.

Property rights. In contexts where legal or practical barriers to women's property ownership exist, addressing those affects collateral availability directly, and is a considerably larger intervention.

Practical guidance

For anyone seeking business finance.

Prepare thoroughly. Financial records, projections with stated assumptions, and clarity about what the money is for and how it will be repaid. Applications fail on preparation more often than on merit.

Build a banking relationship before you need credit. Lending decisions are easier where there's a history.

Apply even where you expect rejection, since the discouragement effect is real and self-fulfilling.

Investigate guarantee schemes and specialist lenders, which exist in many markets and are frequently not advertised through mainstream channels.

And if refused, ask for the specific reason. It's frequently something addressable, and lenders are generally willing to explain if asked directly.

General information only and not financial advice.

Informal finance

The channel funding a very large share of small enterprise globally and receiving almost no attention in policy discussion.

Savings groups, rotating credit associations and family lending operate at enormous scale, particularly where formal banking access is limited, and they are used disproportionately by women.

They have real advantages: no collateral requirement, social enforcement rather than legal, and flexibility that formal lenders cannot match.

They also have limits. Amounts are small, growth beyond a certain scale requires formal finance, and the social enforcement that makes them work can become coercive.

Efforts to link informal groups to formal finance — using group savings records as a credit history — are among the more promising approaches, because they build on something that already functions rather than replacing it.