Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

State Political Risk and Industrial Performance: Evidence from Sub-Saharan Africa

Domain:

socioeconomic

Record type:

paper
Creator:
TarJah
Publisher:
LP2
Host:
Research Originality: This study offers an original external instrumental variable (IV) analysis of the causal link between state political risk and industrialization in Sub-Saharan Africa, using constitutionally fixed executive elections as a novel instrument. Research Objectives: This study tests the hypothesis that state-sanctioned violence negatively impacts industrial growth in Sub-Saharan Africa. Research Methods: This study employs a Two-Stage Least Squares (2SLS) model on a panel of 30 African countries (2000–2023). State political risk is measured by the Political Terror Scale, which captures state-sanctioned violence and is instrumented by fixed election timing. Industrial value-added growth is the dependent variable. Empirical Results: We find no statistically significant causal effect of state-sanctioned violence on industrial growth. This null result is robust across 2SLS, Limited Information Maximum Likelihood(LIML), and GMM estimators. Implications: Industrial policy in moderately unstable African contexts should prioritize core economic and regulatory constraints over broad political risk mitigation. The findings point to significant industrial resilience. JEL Classification: P00, D72, O14, C36, O55 How to Cite:Madyangove, T. N., & Rezki, J. F. (2026). State Political Risk and Industrial Performance: Evidence from Sub-Saharan Africa. Signifikan: Jurnal Ilmu Ekonomi, 15(2), 453-470. doi.org.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by-sa/4.0

Similar

Projects, Political Risk, and Performance: Evidence from Infrastructure Projects in AfricaBank Regulatory Capital and Performance: Evidence from Sub Saharan AfricaICT and agricultural sector performance: empirical evidence from sub-Saharan AfricaDo Institutions Promote Firm Performance? Evidence from Sub-Saharan AfricaDigitalisation and Safety Performance in Mining Companies: Evidence from Sub-Saharan AfricaIndustrial growth in sub-Saharan Africa: evidence from machine learning with insights from nightlight satellite images

Projects, Political Risk, and Performance: Evidence from Infrastructure Projects in Africa

This paper examines whether political risk, macroeconomic conditions, and project characteristics

Bank Regulatory Capital and Performance: Evidence from Sub Saharan Africa

Continuous failure of banks witnessed across the Sub Saharan African region is a great source of con

ICT and agricultural sector performance: empirical evidence from sub-Saharan Africa

Abstract ICT infrastructure is considered crucial to performance and overall development of many se

Do Institutions Promote Firm Performance? Evidence from Sub-Saharan Africa

This article examines the roles of institutions in driving firms’ performance using merged Enterpris

Digitalisation and Safety Performance in Mining Companies: Evidence from Sub-Saharan Africa

This dataset accompanies the study, "Digitalisation and Sustainable Operational Performance in Minin

Industrial growth in sub-Saharan Africa: evidence from machine learning with insights from nightlight satellite images

Purpose This study uses machine machine learning techniques to assess industri