Spatial state reach data for African states since independence, based on travel times to national and regional capitals
## Description
Prominent arguments hold that African states’ geography limits state
capacity, impedes public service provision, and slows economic
development. This repository contains comprehensive panel data on a
proxy of local state capacity, travel times to national and regional
capitals. These are computed on a yearly 5 x 5km grid using time-varying
data on roads (since 1966) and administrative units (1945–2016). The
road data has been digitized using a convolutional neural network from a
collection of Michelin maps that cover the African continent at 23
points in time since 1966. Data on administrative units, their capitals,
and borders has been self-collected, drawing on public sources such as
statoids.org, FAO’s GAUL database, and the GADM data.
**The data is also available for download from this Dropbox:**
See README.Rmd for details on how to load the data (in R).
When using the data, please cite the following publications and refer to
them for further details:
Müller-Crepon, Carl. (2021) State Reach and Development in Africa since
the 1960s: New Data and Analysis. *Political Science Research and
Methods:* FirstView.
(presents the main data) Working Paper version here.
Müller-Crepon, Carl, Philipp Hunziker & Lars-Erik Cederman (2021).
Roads to Rule, Roads to Rebellion: Relational State Capacity and
Conflict in Africa. *Journal of Conflict Resolution, 65*(2-3),
563-590.
(presents the original road digitization)
## Data
### 1st Level Administrative Units (a.k.a. Regions)
GIS data for 1st level administrative units of independent African
countries until 2016 are stored under
data/admin\_units/africa\_regions\_panel.GeoJSON . Each geometry
corresponds to one administrative unit which existed for a period
indicated by the start and end years.
### State reach measure
Because physical accessibility is a necessary (but not sufficient)
condition for state capacity, this data proxies local state reach via
the travel times to a locations’ national and re …