Associate Professor of Politics

Ph.D. 1995, (Political Science) University of Rochester; M.A. 1993, (Political Science) University of Rochester; B.A. (Hons) 1987, (Political Science: Comparative Politics) University of Strathclyde, Glasgow, Scotland.

NYU political scientist and Rochester PhD Fiona McGillivray passed away this morning after a long struggle with pulmonary hypertension.

Despite her illness, Fiona had a great couple of years on the professional front. Indeed, there was a roundtable at APSA in Boston on Saturday on her most recent book.

http://politics.as.nyu.edu/object/FionaMcgillivray

Why do some industries win substantial protection from the whims of international trade while others do not? Privileging Industry challenges standard approaches to this question in its examination of when governments use trade and industrial policy for political goals. Fiona McGillivray shows why aiding an industry can be a politically efficient way for a government to redistribute resources from one industrial sector to another. Taking a comparative perspective that stands in contrast with the usual focus on U.S. trade politics, she explores, for example, how electoral rules, party strength, and industrial geography affect redistribution politics across countries. How do political institutions and the geographical dispersion of industries interact to determine which industries governments privilege? What tests can assess how governments distribute assistance across industries?

Research has focused on the industries that legislators want to protect, but just as important is identifying those legislators able to deliver trade assistance. Assisting an industry requires both a will and a means. Whether an industry is a good vehicle through which to redistribute income depends on its geographic make-up and the country's electoral system. In turn, the electoral system and party strength affect how legislators' preferences contribute to policy. McGillivray tests these arguments using a tariff-based empirical test and nonstandard dependent variables such as the dispersion of stock prices within fourteen different capital markets, and government influence in the targeting of plant closures within declining industries.