I previously studied innovation, productivity, trade, environment, labor economics, etc. Most of my empirical research has been based on highly disaggregated micro-level big data. I have also developed some theoretical models: a model to measure the potential of domestic flying geese based on the productivity framework and welfare economics, a model to measure dynamic inclusive growth by improving the generalized Bernoulli-Nash social welfare function, a model to capture the impact of global and domestic value chains in a general equilibrium way, etc. All these models are applied to empirical analysis.
I am developing new productivity-related models in the context of global value chains. I am also engaged in constructing new Chinese input-output tables, which explicitly take into consideration the information on firm heterogeneity, such as firm size, firm ownership, and will be linked to the inter-country input-output tables. The new data will be applied to productivity and innovation analysis, together with other database, such as industrial firm data, customs data, and patent data.