Central Asian studies in the People’s Republic of China: a structural topic model

Abstract

ABSTRACT China has a rich Central Asia studies literature and in recent years, it has seen an expansion in the number of research institutions with a regional focus. We apply a Structural Topic Model, a quantitative method that estimates thematic prevalence through machine learning, to analyse publications on Central Asia in Chinese academic and specialist journals to show how the field has evolved over time. Aside from the methodological contribution we offer an original dataset of 10,563 publications scraped from China’s CNKI database. We test our strategy on two assumptions in Western literature on Chinese academics’ understanding of Central Asia: (1) China’s research institutes are primarily concerned with economics and (2) China’s thinking on strategic regions is lacking in local context, unique cultural concepts and insights. We argue that while China's scholarship on the region is often Sinocentric, some research shows diversity and nuance, with more analytical depth that has been traditionally understood.