CHENG Wenyin

Previous research

My research has utilized econometric methods to investigate a broad array of fields, including development, international, environmental, and labor economics. Empirically, I rely extensively on highly disaggregated micro-level big data, including patent records, customs transactions, industrial firm data, and economic census datasets. On the theoretical side, I have developed models grounded in productivity accounting frameworks, quantitative trade theory, dynamic stochastic general equilibrium (DSGE) models, and welfare analysis.

Current research projects

My ongoing projects focus on three main areas: (1) the study of innovation, particularly in the domains of open-source innovation, artificial intelligence, and digitalization, with special emphasis on the application of large language models (LLMs); (2) the integration of innovation networks with production networks to gain deeper insights into the structural and dynamic features of contemporary economies; and (3) the development of novel theoretical frameworks to analyze productivity within global value chains.

Related information

• Google Scholar: https://scholar.google.com.hk/citations?hl=zh-CN&user=s1eVGqUAAAAJ&view_op=list_works&sortby=pubdate
• KAKEN Research projects: https://nrid.nii.ac.jp/en/nrid/1000050979763/