Where the Pattern Holds—and Where It Stops

This chapter tests the rural crowdfunding relationship against the conditions that should matter if local networks are part of the explanation. The comparison is among kinds of social connection, degrees of remoteness, alternative definitions, and several checks on measurement and timing—not between a single “good” and “bad” rural place. The goal is to make a conditional judgment: the evidence is more consistent with crowdfunding complementing open local networks than with it producing the same result everywhere, but the checks do not turn an observational association into causal proof.

Open networks strengthen the association; distance does not tell a simple story

The social-capital results are clearest when the comparison distinguishes network composition. The study divides rural observations according to measures that represent different kinds of connection. One set uses volunteering, interpreted as civic engagement or local altruism; economic connectedness, which captures friendships across socioeconomic positions; and social cohesiveness, represented by the extent to which friends share mutual friends. Another set uses broader organizational participation, a bridging measure based on civic, sport, fitness, and bowling associations, and the number of nonprofit organizations.

Across these comparisons, the relationship between a successful large Kickstarter campaign and the later number of establishments is stronger in places with more outward-looking connection. Rural counties with higher volunteering show a positive and statistically stronger relationship than counties with lower volunteering. The same pattern appears for higher economic connectedness. The bridging measure and nonprofit density also show a positive relationship in the higher groups. These results fit the mechanism developed earlier: a local network can help a project begin, but its economic value is greater when it can carry the project toward people who bring different knowledge, resources, or demand.

The negative case is just as important. Counties with more clustering—tighter networks in which people are more likely to share mutual friends—do not show the same strengthening pattern. The relevant comparison is not that close relationships have no value. Close ties can supply trust and early support. The concern is that a highly homogeneous network may circulate the same information, enforce familiar norms, or discourage an activity that appears to depart from local expectations. In that setting, the presence of social capital does not guarantee the kind of bridge a public campaign needs.

The combined measure of general social capital also fails to produce a uniformly positive result. That is a useful warning against turning the findings into a slogan that “more community” causes more entrepreneurship. A place can be socially cohesive and still have few links to different socioeconomic groups, specialized knowledge, or wider markets. It can have many organizations that reinforce internal solidarity without creating an effective path for a particular venture to reach outward. The study’s result is about the composition and direction of connection, not a score that ranks communities by virtue.

The comparisons are informative because the broad model and controls are held relatively constant while the rural sample is split by social-capital conditions. But the measures are still proxies. A county’s volunteering rate does not reveal whether a specific entrepreneur found an early backer. A nonprofit count does not show whether an organization introduced a founder to a useful expert. Economic connectedness does not tell us whether anyone in the relevant network saw the campaign. The subgroup results identify places where the association is stronger; they do not narrate the individual pathway from a local tie to a particular contribution or establishment.