Quantitative Data

Quantitative Data

 

Note:
This page is still being completed and will include a complete documentation of the variables, the motivation for their selection, and a specification of the transformations applied. Currently, it only includes a short motivation for the transformations applied and links to the original data sources.

Variable Selection and Invitation for Suggestions:
This is a first selection of variables based on variables prominent in the literature on environmental and climate-related conflicts. We seek to expand this selection with a wide range of variables relevant to the cases we are covering and are constantly looking for novel and improved measures. If you have suggestions for additional data to include, we are looking forward to hear from you.
 

Rationale for transformations:
In the Country Data in Comparison bar chart we try to contextualize the country data at conflict onset by putting them in relation to other countries and conflict settings. For this purpose, we perform three transformations of the data: We orient each variable in a way where a high value is associated with the expectation that conflict is more likely. As discussed, these expectations are not always clear or consensual in the literature.
 

Data Sources:
These are the sources for the different variables displayed. As discussed above, we have sometimes applied transformation of these original data for clarity and consistency within the visualizations of the factsheets.

WB: World Bank World DataBank

  • Population Density
  • Population Growth
  • GDP per capita
  • Income inequality (Gini)
     

Gubler & Selway 2012: Horizontal Inequality, Crosscutting Cleavages, and Civil War

  • Crosscuttingness of Societal Cleavages
  • Ethnic Polarization (taken from the dataset of the article, originally from other work)
  • Religious Polarization (taken from the dataset of the article, originally from other work)
     

Linzer & Staton 2014: A Measurement Model for Synthesizing Multiple Comparative Indicators: The Case of Judicial Independence

  • Lack of Judicial Independence

Polity IV: Polity IV Project: Political Regime Characteristics and Transitions, 1800-2013

  • Lack of Democracy (taken from the data in Theisen 2008, but Polity IV is the original source).

FFP: Fund for Peace Fragile State Index

  • Fragility
     

ND GAIN: Notre Dame Global Adaptation Index

  • Lack of adaptation
  • Lack of readiness
  • Vulnerability overall
  • Vulnerability – Sensitivity
  • Vulnerability – Exposure
  • Vulnerability – Lack of adaptive capacity

 

Dregne & Chou 1992: Global Desertification Dimensions and Costs

  • Percentage of Degraded Land
     

Theisen 2008: Blood and Soil? Resource Scarcity and Internal Armed Conflict Revisited

  • Water Scarcity
     

COW: Correlates of War Project

  • National Capabilities / Military Strength