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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Global Growth Miracles and Disasters: A Comparative Regional Analysis (2016–2023)

Authors: Aibieyi, Stanley; Onyejiuwa, Daniel C.;

Global Growth Miracles and Disasters: A Comparative Regional Analysis (2016–2023)

Abstract

This study investigates regional patterns of economic growth from 2016 to 2023, categorizing global economies into “growth miracles” and “growth disasters” using GDP per capita growth rates from the World Bank’s 2024 World Development Indicators. Employing descriptive statistics and comparative analysis, the research identifies South Asia and East Asia \& Pacific as high-performing regions, largely driven by structural reforms, export-led strategies, and human capital investment. Conversely, Latin America, Europe \& Central Asia, and parts of Sub-Saharan Africa experienced stagnation or contraction, linked to political instability, weak institutions, and limited diversification. The findings are interpreted through the Solow Growth Model, Endogenous Growth Theory, and the World Bank’s 3i Strategy, highlighting the critical roles of governance, innovation, and institutional quality. Policy recommendations focus on targeted investment in education, technological adoption, and macroeconomic stability to sustain high growth and mitigate economic decline

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green