Hostname: page-component-6766d58669-bkrcr Total loading time: 0 Render date: 2026-05-17T15:04:29.261Z Has data issue: false hasContentIssue false

Endogenous Colonial Borders: Precolonial States and Geography in the Partition of Africa

Published online by Cambridge University Press:  07 March 2024

JACK PAINE*
Affiliation:
Emory University, United States
XIAOYAN QIU*
Affiliation:
Washington University in St. Louis, United States
JOAN RICART-HUGUET*
Affiliation:
Loyola University Maryland, United States
*
Jack Paine, Associate Professor, Department of Political Science, Emory University, United States, jackpaine@emory.edu.
Corresponding author: Xiaoyan Qiu, Assistant Professor, Department of Political Science, Washington University in St. Louis, United States, x.qiu@wustl.edu.
Joan Ricart-Huguet, Assistant Professor, Department of Political Science, Loyola University Maryland, United States, jricart-huguet@loyola.edu.
Rights & Permissions [Opens in a new window]

Abstract

We revise the conventional wisdom that Africa’s international borders were drawn arbitrarily. Europeans knew very little about most of Africa in the mid-1880s, but their self-interested goals of amassing territory prompted intensive examination of on-the-ground conditions as they formed borders. Europeans negotiated with African rulers to secure treaties and to learn about historical state frontiers, which enabled Africans to influence the border-formation process. Major water bodies, which shaped precolonial civilizations and trade, also served as focal points. We find support for these new theoretical implications using two original datasets. Quantitatively, we analyze border-location correlates using grid cells and an original spatial dataset on precolonial states. Qualitatively, we compiled information from treaties and diplomatic histories to code causal process observations for every bilateral border. Historical political frontiers directly affected 62% of all bilateral borders. Water bodies, often major ones, comprised the primary border feature much more frequently than straight lines.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Evolving Borders of the Congo Free StateNote: For the arc near Lake Kivu (pink), see Supplementary Appendix C.5.9. For the Lado Enclave along the Nile (black), see Supplementary Appendix C.6.3.

Figure 1

Figure 2. Border Formation over Time in Africa

Figure 2

Figure 3. The Evolution of the European Political Map of Africa

Figure 3

Figure 4. Map of Precolonial States and BoundariesNote: The map visualizes our dataset of African precolonial states and their boundaries, with 1960 boundaries superimposed.

Figure 4

Figure 5. Niger–Nigeria Border with Overlaid 0.5o x 0.5o Grid CellsNote: The map shows parts of the Niger–Nigeria border (and small segments of their respective borders with Benin) in black (dependent variable), precolonial states in orange (explanatory variable), and grid lines in gray (unit of analysis). The letters provide examples of cells with different values of the variables; Cell A: dv$ =1 $; Cell B: pcs frontier$ =1 $; Cells C and D: dv$ =1 $ and pcs frontier$ =1 $; Cells A and E: pcs interior$ =1 $.

Figure 5

Figure 6. Correlates of African BordersNote: The figure summarizes coefficient estimates and confidence intervals at the 95% and 90% levels for the main explanatory variables. Supplementary Tables A.4 and A.5 present complete results. $ N=\mathrm{10,341} $ for the full sample and $ N=\mathrm{7,135} $ for the Sub-Saharan Africa (SSA) sub-sample. Controlling for agricultural intensity in the bottom panel causes observations to drop to $ \mathrm{9,913} $ in the full sample and $ \mathrm{6,816} $ for SSA. The geography models do not contain any covariates. Most are bivariate, although major/minor rivers and major/minor lakes are each included in the same specification. Every model in the lower part controls for geography (variables in the top part) plus the aforementioned covariates.

Figure 6

Figure 7. Examples of Borders Shaped by Precolonial StatesNote: Polygons for precolonial states from authors’ digitization (sources listed in Supplementary Appendix B.2). Supplementary Appendix A.2.1 lists the sources for rivers, lakes, and final colonial borders. (a) Provisional colonial borders from authors’ digitization of Brownlie (1979, 446). (b) Decentralized groups from authors’ digitization of Theobald (1965, 53). (c) Provisional 1922 border from authors’ digitization of McEwen (1971, 152). (d) Provisional colonial border from authors’ digitization of Brownlie (1979, 250), and Ewe shapefile from Murdock (1959).

Figure 7

Table 1. Features of African Bilateral Borders

Figure 8

Figure 8. Borders in the Great Lakes RegionNote: Polygons for precolonial states from authors’ digitization (sources listed in Supplementary Appendix B.2). Supplementary Appendix A.2.1 lists the sources for lakes and international borders.

Supplementary material: File

Paine et al. supplementary material

Paine et al. supplementary material
Download Paine et al. supplementary material(File)
File 718.1 KB
Submit a response

Comments

No Comments have been published for this article.