Thesis Open Access
KALKIDAN SAMUEL
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<identifier identifierType="DOI">10.20372/nadre:19325</identifier>
<creators>
<creator>
<creatorName>KALKIDAN SAMUEL</creatorName>
</creator>
</creators>
<titles>
<title>STRUCTURAL CHANGE AND ECONOMIC GROWTH IN AFRICA</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2025</publicationYear>
<subjects>
<subject>Africa, Economic growth, structural change, Industry Value added, Per capita GDP growth, Panel Data.</subject>
</subjects>
<dates>
<date dateType="Issued">2025-10-03</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="Text">Thesis</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://nadre.ethernet.edu.et/record/19325</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.20372/nadre:19324</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/02</relatedIdentifier>
</relatedIdentifiers>
<version>01</version>
<rightsList>
<rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p>Since the late 1950s and mid 1960s which is known to be the period of African independence,<br>
Africa&rsquo;s growth performance and structural change, as indicated by the growth of the secondary<br>
sector, have shown a fluctuating pattern. The period between the 1950s and the mid-1970s was<br>
relatively of good economic performance and expansion of the manufacturing sector while the<br>
period after the mid-1970s to the mid-1990s is characterized by poor economic performance and<br>
contraction of the secondary sector. The period since the late 1990s is a period of rapid<br>
economic growth but declining share of the secondary sector which implies negative structural<br>
change in the context of this study. Given this pattern of economic growth and structural change,<br>
previous studies focus on the effect of structural change on economic growth of Africa.<br>
Accordingly, this study aims at analyzing the effect of economic growth on structural change in<br>
Africa.Other drivers of structural change in Africa are also studied by considering the Natural<br>
resource endowment hypothesis, Geography hypothesis, exchange rate policy hypothesis and<br>
human capital hypothesis. The effect of openness on structural change is also analyzed by<br>
considering the effect of trade on sectorial value added share.Secondary data for a set of 43<br>
African countries for the period between 1980 to 2020 is collected from the World Bank&rsquo;s World<br>
Development Indicators Database. The countries and years of study are selected based on the<br>
availability of data. The fixed Generalized Least Squares (FGLS) estimation is employed to<br>
estimate the parameters as it addresses the problems of heterosckedasticity, autocorrelation and<br>
Cross-sectional dependence existing within the data. The Durbin-Hausman-Wu endogenity test<br>
is applied and the variables are found to be strictly exogenous. The result of the study shows that<br>
Economic growth has a significant negative effect on Structural change. This is consistent with<br>
the reality faced by African economies in the past decades for which economic growth and<br>
structural change move in opposite directions to each other. Particularly after the mid-1990s,<br>
the economy is growing faster but the industry sector&rsquo;s share in output which represents<br>
structural change, is declining. Exchange rate depreciation has also a negative effect on<br>
structural change in Africa for the last four decades. On the other hand, Human Capital and<br>
Openness has a positive effect on structural change that more improved human capital and more<br>
open economy results in an increasing share of Industry Value Added thereby facilitating<br>
structural change. Natural resource endowment and Geography are found to be insignificant<br>
variables in the model estimation. Based on the result, the study recommends those policy<br>
designs focused on: driving the fruits of economic growth towards the expansion of the industry<br>
sector,increasing investment in human capital, following more liberal trade policies and well<br>
managed exchange rate system.</p></description>
</descriptions>
</resource>
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