Dr Chao-Yo Cheng is an LSE Fellow in the Department of International Development and the Department of Methodology. He applies both qualitative and quantitative methods to address various topics in the political economy of institutions and development, such as authoritarian governance, ethnic relations,poverty, and local public goods provision. Using historical and contemporary data, he is particularly interested in unpacking the institutional and policy foundations of nation state-building and economic development in multi-ethnic societies. Much of his research focuses on China and India. Drawing from statistical analysis, elite interviews, and archival research, his PhD dissertation proposes a new political logic of ethnic local autonomy to explain how the designation of ethnic autonomous territories (EATs) shapes the governance of non-Han groups and sustains the Chinese Communist Party's rule in post-1949 China. The project also involves the use of social network analysis and machine learning techniques to construct the connectedness among Chinese political elites.
Dr Cheng has a PhD in Political Science from the University of California, Los Angeles (UCLA). He holds a Master’s Degree in Political Science from Columbia University and a dual BA Degree in Journalism and Political Science from NationalChengchi University (Taipei). He has also studied mass communication, politics, and sociology at the Chinese University of Hong Kong and the National Universityof Ireland, Galway. Between 2012 and 2014, he was a Fulbright Fellow at UCLA. Currently, he is also affiliated with the School of Social Sciences at Tsinghua University.
At the LSE, Dr Cheng contributes to “Fundamentals of Research Design for International Development” (MY410) and “Research Design and Dissertation in International Development” (DV410), both compulsory courses for MSc students in the Department of International Development.
Comparative Institutions; Political Economy of Development; Race and Ethnicity; Political Elites; Authoritarianism; Energy and Environment; Mixed Methods; SocialNetwork Analysis; Causal Inference; Computational Social Sciences; China; India; Southeast Asia