Regulatory Incentives and Knowledge Dynamics in Pharmaceutical Innovation: Evidence from Breakthrough Therapy Designation

Authors

DOI:

https://doi.org/10.34190/ecie.21.1.5454

Keywords:

Scientometric Analysis, Porter Hypothesis, Regulatory Incentive, Scientometrics, Knowledge Dynamics, Pharmaceutical Innovation

Abstract

Pharmaceutical innovation heavily depends on scientific knowledge, but it is also shaped by regulatory institutions that define safety and efficacy requirements for market entry and influence time to market. This study examines whether the U.S. Food and Drug Administration’s Breakthrough Therapy Designation (BTD), introduced under the Food and Drug Administration Safety and Innovation Act (FDASIA) in 2012, is associated with changes in scientific publication activity. Using FDA approval records and publication data from the Web of Science Core Collection, the pilot analysis examines nine drugs across three disease areas: leukemia, lymphoma, and multiple myeloma. BTD-designated drugs were matched with non-BTD drugs based on comparable indications and approval timing within the 2013–2023 study window. Annual publication counts were measured over six-year periods before and after the designation and analyzed using an event-time difference-in-differences model with drug and relative-period fixed effects. Publication activity increased after designation, and the descriptive increase was larger for BTD-designated drugs than for non-BTD drugs. However, the fixed-effects estimate was positive but not statistically significant (β = 0.116, SE = 0.569). The findings suggest a possible increase in scientific publication activity following BTD designation, although the statistical evidence remains inconclusive. The findings suggest that regulatory incentives may influence clinical development without a comparable change in scientific knowledge production.

Author Biographies

Jaekwan Park, Dongnam Institute of Radiological and Medical Sciences

Jaekwan Park is a Senior Researcher at the Dongnam Institute of Radiological and Medical Sciences and a Visiting Research Fellow at SPRU, University of Sussex Business School. His recent research focuses on knowledge dynamics and technological trajectories in science- and knowledge-intensive sectors, including biomedical and pharmaceutical industries.

Youngha Chang, Science Policy Research Unit, University of Sussex Business School

Youngha Chang is an Associate Professor in Innovation Management at SPRU, University of Sussex Business School. His research focuses on organisational ambidexterity, corporate venturing, and digital transformation, with a particular interest in how established firms organise for innovation and adapt to technological change.

Daniele Rotolo, Science Policy Research Unit, University of Sussex Business School

Daniele Rotolo is a Professor in Science, Technology and Innovation Policy at SPRU, University of Sussex Business School and Associate Professor at Department of Mechanics, Mathematics and Management, Polytechnic University of Bari. His research focuses on emerging technologies, corporate science, research systems, and AI and science.

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Published

2026-09-11