For decades, there has been a broad consensus among policymakers, antitrust enforcers, and economists that most mergers pose little threat from an antitrust perspective and that mergers are generally procompetitive. However, over the past year, leadership at the FTC and DOJ has questioned whether mergers are, as a general matter, economically beneficial and asserted that mergers pose an active threat to innovation. The agencies have also set the stage for a substantial increase in the scope of merger enforcement by focusing on new theories of anticompetitive harm such as elimination of potential competition from nascent competitors and the potential for cumulative anticompetitive harm from serial acquisitions.
Despite the importance of the question of whether mergers have a positive or negative effect on industry-level innovation, there is little empirical research on the subject. NERA was retained by the US Chamber of Commerce to prepare a study investigating this question, utilizing what is, to our knowledge, a never-before-used dataset combining industry-level merger data from the FTC/DOJ annual HSR reports with industry-level data from the NSF on R&D expenditure and patent applications.
We find a strong positive and statistically significant relationship between merger activity and industry-level innovative activity. Over a three- to four-year cycle, a given merger is associated with an average increase in industry-level R&D expenditure of between $299 million and $436 million in R&D-intensive industries. Extrapolating our results to the industry level implies that, on average, mergers are associated with an increase in R&D expenditure of between $9.27 billion and $13.52 billion per year in R&D-intensive industries and an increase of between 1,430 and 3,035 utility patent applications per year. Furthermore, using a statistical technique developed by Nobel Laureate Dr. Clive Granger, we find that the direction of causality goes, to a substantial extent, directly from merger activity to increased R&D expenditure and patent applications.
Based on these findings, we draw the following key conclusions: