Data

China TIES: dataset of Chinese Economic Sanctions 

Team: Jack Zhang (University of Kansas), Spencer Shanks (University of Kansas)

The Chinese Economic Sanctions Dataset (CES v.1 aka China TIES) includes 135 episodes where China is the sender and 88 episodes where it is the target from 1949-2020. We use the Threat and Imposition of Economic Sanctions dataset (TIES v.4) as a baseline for identifying and coding sanctions episodes and provide a set of standardized narratives documenting each episode with secondary sources. CES v.1 amends, updates, and cross-reference China-related episodes in widely used sanctions data sources such as EUSANCT and GSDB v.2 in addition to TIES. The result is a dataset that is interoperable with TIES but also contains new CES variables that better capture the informal nature of many Chinese sanctions. Over 70% of our cases were not captured by the existing datasets. We gratefully acknowledge financial support through the Minerva Research Initiative (FA9550-21-1-0143).

The result is a dataset that is interoperable with TIES but also contains new variables that better capture the informal nature of many Chinese sanctions. We are committed to updating and expanding China TIES in real-time and to releasing major updates every 3-4 years. China TIES is freely available and interested researchers can download the data directly from our GitHub page. The growing library of China TIES narratives can be found here

We just ask that, if you use China TIES data, please cite this paper: Zhang, Jiakun Jack and Shanks, Spencer. "Measuring Chinese Economic Sanctions 1949-2020: Introducing the China TIES Dataset." Conflict Management and Peace Science. (2024) 

China MIDS: dataset of Chinese Military Coercion

Militarized interstate disputes (MIDs) collected for dissertation.

Team: Jack Zhang (University of Kansas)

Tariff Exclusions 

Partnership with QuantGov at the Mercatus Center and the Mercatus Center Policy Analytics Research Program.

Team: Jack Zhang (University of Kansas)

MNC Decoupling Data: FIE Exits


Team: Jack Zhang (University of Kansas), Samantha Vortherms (UCI)

Replication data: FIE 1
Replication data: FIE 2 

MNC Friend-shoring Data: Japan


Team: Jack Zhang (University of Kansas), Timothy Cichanowitz (University of Kansas), Samantha Vortherms (UCI)

Congressional China Bills

Tough on China bills in US Senate 1989-2023
Team: Jack Zhang (University of Kansas), Spencer Shanks (University of Kansas)