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CYCLICAL CONCENTRATION AND BIOTECH R&D ACTIVITY: A NEO-SCHUMPETERIAN MODEL

James F. Oehmke, Christopher Wolf (), Dave Weatherspoon (), Anwar Naseem (), Mywish Maredia, Kellie Raper and Amie L. Hightower

No 11792, Staff Paper Series from Michigan State University, Department of Agricultural, Food, and Resource Economics

Abstract: Several characteristics of biotech industry structure follow cyclical patterns. Mergers and acquisitions activity shows cyclical behavior, with peaks from 1988-92 and 1996-97 and a valley from 1993-95. The ratio of large-firm to small-firm field trials, and the Herfindahl-Hirshmann concentration index, move pro-cyclically with M&A activity. This paper develops a formal, dynamic, neo-Schumpeterian model of endogenous R&D and innovation. The model generalizes and extends the literature on biotech industry concentration. For specified parameter values, the out-of-steady-state dynamics are examined, and shown to generate model behavior which is consistent with empirical descriptions of biotech concentration and R&D-activity cycles.

Keywords: Research; and; Development/Tech; Change/Emerging; Technologies (search for similar items in EconPapers)
Pages: 12
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:ags:midasp:11792

DOI: 10.22004/ag.econ.11792

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