JOURNAL ARTICLE
Does rising resources income, consumer prices, government outlay and globalization hinder Africa's sustainable development?
Published In: International Journal of Technology Management & Sustainable Development, 2024, v. 23, n. 1. P. 37 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Aladejare, Samson Adeniyi; Musa, Mohammed Auwal 3 of 3
Abstract
This study investigates the long-term impact of growing resource income, rising consumer prices, inefficient public spending, and globalization on sustainable development (SD) in 24 African countries from 1991 to 2021. Using a robust SD measure integrating resource productivity and employing long-term panel estimation techniques—feasible generalized least squares (FGLS), Driscoll-Kraay (D–K), and panel dynamic ordinary least squares (PDOLS)—the findings reveal that increases in natural resource rents, consumer prices, government expenditure, and globalization significantly hinder SD, while income growth positively influences it. The study highlights challenges such as resource overexploitation, inflationary pressures, public spending inefficiencies, and the transfer of less efficient technologies through globalization as key deterrents to SD in Africa. Policy recommendations include transitioning to renewable energy, restoring macroeconomic stability, improving public spending accountability, promoting green technologies, and fostering an investor-friendly environment to support sustainable development goals.
Additional Information
- Source:International Journal of Technology Management & Sustainable Development. 2024/03, Vol. 23, Issue 1, p37
- Document Type:Article
- Subject Area:Diplomacy and International Relations
- Publication Date:2024
- ISSN:1474-2748
- DOI:10.1386/tmsd_00084_1
- Accession Number:176987851
- Copyright Statement:Copyright of International Journal of Technology Management & Sustainable Development is the property of Intellect Ltd. 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.)
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