What It Takes to Turn a Network into Capital

For women-founded high-growth startups in India, the evidence supports a staged answer to the title question. In the pathway this study can observe, a potential connection has to become recognizable, a recognizable connection has to become an active relationship, and that relationship has to survive investor selection, financing terms, and time before it can function as capital. The evidence does not show a single failure point or a single culprit. It shows that potential centrality, role-specific relationships, funding status, funding amount, timing, participation, and exit are different outcomes. The reader can use that distinction to judge a network-to-capital claim without turning gendered results into a verdict on ambition or merit.

The network-to-capital chain is a set of gates

The World Bank study follows Indian startups across a life cycle rather than measuring networking as a personality trait. Its Tracxn-based sample contains 110,361 firms founded from 2000 through 2020 after the date filter, with gender identified for 55,074. In the reproduced comparison, 10,391 firms, or 18.9 percent of the gender-identified sample, have a woman founder. The data cover firms with an online presence and draw on recorded information about founders, boards, angels, executives, teams, funding, sectors, and exits.

That scope makes the first conclusion unusually clear: the observed capital question does not begin with women founders having no network. In models controlling for firm age, tier-1-city location, state, and sector, women founders have positive coefficients on every broad potential-network measure. The association is positive for having any connection, an educational connection, and a professional connection, and it is also positive for the corresponding count measures. The study’s broad network variables therefore do not support a simple scarcity story in which women start with fewer possible routes to other people.

But a potential route is not yet a gate that has opened. The network construction identifies connections from recorded affiliations and biography information. It separately measures founder–board, founder–angel, and board–angel relationships. Those role-specific links are closer to the formal structure through which a venture can receive advice, validation, or investment, but they still do not expose every conversation or decision. The relationship-specific models show negative woman-founder coefficients for all three links after state and sector fixed effects: −0.0764 for founder–board, −0.0519 for founder–angel, and −0.0733 for board–angel.

The combined result is not that networks do not matter. It is that the word network names at least two different states. Broad centrality describes an observed opportunity structure: people or institutions appear connected through education or experience. A role-specific link describes a more consequential relationship recorded around a venture. Between them lie recognition, relevance, trust, sponsorship, and authority. Those steps are the conversion gates, and the available data see them only indirectly.

The funding models add two more gates. For the broad measure of having at least one connection, the coefficient on funding probability is 0.0998 in the simpler specification and 0.0314 when the number of connections is also included. The connection-by-woman-founder interaction is positive and statistically significant in both models, at 0.0679 and 0.0567. This supports an association between the broad connection measure and the chance of being funded, with a larger association for women-founded firms in those specifications.

Yet the total-funding results do not establish a corresponding women-specific amount advantage. The connection coefficient is 2.565 in the simpler total-funding model but falls to 0.181 when the connection count is included. The interactions with woman founder are negative, −0.521 and −0.549, and not statistically significant. A network can therefore be relevant to entering the funding process without the evidence showing that it equalizes the accumulated amount of capital.

Direct role links tell a related but different story. Founder–board, founder–angel, and board–angel links are positively associated with total funding for firms overall, with fixed-effect coefficients of 4.379, 3.790, and 5.063 million dollars. Founder–angel and board–angel links are also positively associated with funding-round amounts, at 0.209 and 0.129 million dollars after sector and round fixed effects. But the woman-founder and connection-by-woman-founder terms in those amount models are not statistically significant. The evidence says that formal role relationships correlate with money, not that the same measured relationship produces a distinct funding-amount premium for women founders.