This paper studies the evolution of China's production and trade patterns during its integration into the global economy. We document and explain new facts concerning changes in production and exports at the industry and firm levels using microdata and a quantitative Ricardian and Heckscher–Ohlin model with heterogeneous firms. Counterfactual simulations reveal that capital deepening made China's production and exports more capital-intensive, although labor-biased productivity growth acted as a counterforce. Consistent with the data, our model demonstrates that China's trade openness peaked around the mid-2000s and fell until the 2020s, while the world's exposure to Chinese exports rose continuously.

We build a two-country general equilibrium model to analyze the effects of cross-border data flows and pre-existing development gaps in data economies on each country's production and international trade. Raw data as byproducts of consumption can be transformed into various types of working data (information) to be used by both domestic and foreign producers. Because data constitute a new production factor for intermediate goods, a large extant divide in data utilization can reduce or even freeze trade. Cross-border data flows mitigate the situation and improve welfare when added to international trade. Data-inefficient countries where data are less important in production enjoy a ``latecomer's advantage'' with international trade and data flows, contributing more raw data from which the data-efficient countries generate knowledge for production. Furthermore, cross-border data flows can reverse the cyclicity of working data usage after productivity shocks, whereas shocks to data privacy or import costs have opposite effects on domestic and foreign data sectors. The insights inform future research and policy discussions concerning data divide, data flows, and their implications for trade liberalization, the data labor market, among others.