Preprint by M. Zhokhov and A. Galeev

The paper "Reforming international trade policy: NLP-based content analysis of the recent history of debates" is published in the WP11 working paper series.

Abstract:

The paper analyses the development of scientific discourse in the field of international trade reforms and its impact on the implemented policy. We construct a database of articles in international trade indexed in the Scopus scientific citation database and compile an index reflecting the article’s semantic orientation in terms of adherence to either economic liberalism or economic nationalism using NLP algorithms. The comparison of the index dynamics with the dynamics of the aggregated number of legislative acts in the Trade Monitoring Database suggests a direct relationship between political measures and the first lag of the “liberalism-protectionism” index from 2008 to 2021.

 

The full text of the paper is available on the WP11 preprint series website.