JOURNAL ARTICLE
Infrastructure and Structural Change in Africa.
Published In: World Bank Economic Review, 2024, v. 38, n. 3. P. 483 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Dappe, Matías Herrera; Lebrand, Mathilde 3 of 3
Abstract
The article examines how investments in transport, electricity, and Internet infrastructure influence economic development through structural transformation—specifically, shifts in sectoral employment—in African countries within the Horn of Africa and Lake Chad regions. Empirical analysis using georeferenced data and instrumental variables reveals that access to both paved roads and electricity significantly reallocates labor from agriculture to manufacturing and services, while access to fast Internet further accelerates this shift. A spatial general-equilibrium model quantifies the welfare and employment impacts of future infrastructure projects, showing that bundled investments in roads, electrification, and Internet access yield larger structural changes and welfare gains than isolated investments, with regional trade facilitation amplifying these effects. The study highlights heterogeneous spatial outcomes, with Kenya and parts of Cameroon benefiting from increased manufacturing specialization, while poorer and more fragile areas around Lake Chad experience welfare gains but remain predominantly agricultural. The findings underscore the importance of integrated infrastructure development and regional connectivity for fostering economic transformation in these African regions.
Additional Information
- Source:World Bank Economic Review. 2024/08, Vol. 38, Issue 3, p483
- Document Type:Article
- Subject Area:Earth and Atmospheric Sciences
- Publication Date:2024
- ISSN:0258-6770
- DOI:10.1093/wber/lhae002
- Accession Number:179176594
- Copyright Statement:Copyright of World Bank Economic Review is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.