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Authoritarianism as a Research Constraint: Political Scientists in China*
Author(s) -
Reny MarieEve
Publication year - 2016
Publication title -
social science quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 90
eISSN - 1540-6237
pISSN - 0038-4941
DOI - 10.1111/ssqu.12345
Subject(s) - authoritarianism , politics , government (linguistics) , context (archaeology) , china , public relations , sociology , political science , empirical research , imperfect , political economy , democracy , law , epistemology , paleontology , linguistics , philosophy , biology
Objective This article examines the ways the authoritarian nature of the regime in the People's Republic of China constrains the conduct of political science research. It further seeks to identify ways in which researchers have circumvented authoritarian controls. Methods The article examines existing scholarly literature and curricula pertaining to Chinese politics to identify methodological and technical tendencies in the research field. It then conducts a deeper, theoretical investigation to show how researchers exploit loopholes and blindspots in the authoritarian system to generate novel research. Results The study finds a marked propensity in the study of Chinese politics toward qualitative research. Research on local politics is considered less sensitive and thus is more prevalent than studies of the central government. Government restrictions have forced scholars to imperfect data for empirical support. Conclusion Although it is easier to generate new findings in politically open settings, the authoritarian nature of the Chinese regime does not necessarily hinder advancement in social science. Quantitative research that relies on government‐issued data is useful, but remains liable to government restriction. Qualitative and ethnographic research gives the researcher opportunities to bypass restrictions imposed by the regime. These opportunities depend upon the researcher's ability to immerse herself in the relevant communities, find reliable and context‐aware collaborators, and develop creative ways of collecting information about state behavior.

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