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Artificial states, ethnicity, and the survival of private participation infrastructure projects in Africa

  • Shuo Zhang
  • , Jane W. Lu*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

102 Downloads (CityUHK Scholars)

Abstract

Despite increasing interest, research within the context of Africa, particularly in relation to its unique historical dynamics, remains relatively underexplored in international business (IB). ​Our paper explores how colonial-era historical legacies continue to shape the outcomes of present-day private participation infrastructure (PPI) projects in Africa. By analyzing 301 PPI projects across 102 ethnic groups in 32 African countries, we offer insights into how borders misaligned with pre-colonial ethnic boundaries contribute to conflicts that undermine project viability. The findings reveal that ethnic partitioning, defined as the division of ethnic groups across artificial national borders, negatively impacts PPI project survival, with conflict mediating this relationship. While higher institutional quality mitigates these adverse effects, its impact remains marginal. We incorporate historical perspectives and highlight the importance of considering the path dependence of contemporary institutional environments. It also addresses the growing demand for Africa-focused IB research. By incorporating ethnicity into institutional analyses, our study also challenges the traditional IB assumption regarding the primacy of national borders in business activities. Our study points to the importance of understanding historical backgrounds when doing business in Africa. © The Author(s) 2025.
Original languageEnglish
Pages (from-to)536–554
Number of pages19
JournalJournal of International Business Studies
Volume57
Issue number4
Online published20 Mar 2025
DOIs
Publication statusPublished - Jun 2026

Funding

The authors gratefully acknowledge the constructive feedback and helpful guidance of the action editor, Professor Stephanie Decker, and three anonymous reviewers. The authors thank Runqiong Wang, Xiangting Wu, Hui Zhang, and Yue Zhang for their excellent research assistant work at different stages of this project. This research is supported by the Scientific Research Innovation Project of China University of Political Science and Law (Project No. 23ZFQ79001), Research Council of the Hong Kong Special Administrative Region, China (Project No: CityU 11504321), and the City University of Hong Kong (Project No: CityU 11501122). Open Access made possible with partial support from the Open Access Publishing Fund of the City University of Hong Kong.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • Africa
  • Artificial state
  • Conflict
  • Ethnicity
  • Institution theory
  • PPI projects
  • Survival model

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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