| china_peace | R Documentation |
Drivers of China's Peace Engagement in Conflict-affected Countries
Description
A data set on the correlates of Chinese peace engagement in conflict-affected countries.
Usage
china_peace
Format
A data frame with 884 observations on the following 13 variables.
countrya character vector for an English country name of the conflict-affected country
yeara numeric vector for the year
iso3ca three-character ISO code of the conflict-affected country
regiona character vector for the region of the conflict-affected country
chn_odaa numeric vector for the amount of Chinese ODA in the conflict-affected country
n_chnproja numeric vector for the number of Chinese ODA projects in the conflict-affected country
other_odaa numeric vector for the amount of ODA from other sources for the conflict-affected country
gdppca numeric vector for GDP per capita of the conflict-affected country
tnrra numeric vector for total natural resource rents in the conflict-affected country
chn_unvsa numeric vector for the similarity in voting with China in the UN General Assembly
fdi_stocka numeric vector for Chinese FDI stock in the conflict-affected country
bdp100ka numeric vector for battle-deaths in the conflict-affected country
logotherodadiff1ya numeric vector for the logged and lagged difference in Chinese ODA and ODA from other sources
Details
The logotherodadiff1y column comes as is from the replication data
set. It seems to make use of ODA information prior to the start of the panel
that is not available in their replication data. You could recreate it by
taking a log-transformation of the other_oda column and subtracting the
first-order lag from the second-order lag.
I will defer to the user to do their own log transformations of these data for the cause of replication. Read the supporting article for more information.
References
Jung, Yeonju and Karina Shyrokykh. 2024. "Needs or Interests: Drivers of China's Peace Engagement in Conflict-affected Countries." International Peacekeeping 31(5): 553-74.