Why does a disproportionate amount of high-growth entrepreneurship concentrate in a small number of geographical areas? Our research question is motivated by the heavy tails in the frequency-size distributions of high-growth entrepreneurship—the number of early-stage financing rounds, acquisitions among firms that received early-stage financing, and initial public offerings (IPOs)—in a metropolitan or micropolitan statistical area (MSA). The heavy tails could result from either of two distinct processes, but the existing research on entrepreneurship and agglomeration cannot tell the two processes apart. In this paper, we apply technical advances from complexity science and analyze which process is the more likely generative mechanism for the observed heavy tails. Using data from Crunchbase, our analysis covers 129,949 financing rounds of 58,517 unique firms across 657 MSAs, 10,145 acquisitions, and 4,614 IPOs. We find the multiplicative process to be the more likely mechanism, compared to the rich-get-richer process, which has been posited in the literature as a driver of regional advantage. For research, our finding changes the way we theorize and study agglomeration and entrepreneurship. For government policy, our research enhances the efficacy of interventions—in the form of tax breaks, business incubators, or grants aiming to stimulate entrepreneurial activity, spur innovation and create new jobs—by revealing the generative mechanism for the emergence of a region’s advantage in high-growth entrepreneurship. For entrepreneurs, our research informs whether and how the choice of where to locate the start-ups may have implications for the likelihood of obtaining early-stage financing, becoming acquired, and going public.
Read full abstract