This thesis examines various aspects of the environmental economic history of China and provides the data and analysis to allow for more research at the county level. The study verifies the use of some newly developed AI based techniques, including character recognition and lexical analysis, to digitise historical information from paper sources. Applications of this newly constructed data set show that more frequent flood events will encourage rural-to-urban migration, while more frequent cold-related events will encourage urban-to-rural migration. We also adopt a Spatial Durbin Model and find that the spatial dependence of conflicts is strong. The possible mechanisms for the spillover effect of weather shocks are whether the weather shocks are spatially connected or the weather shocks encourage refugees to move to other places
