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Does Increasing Product Complexity and Diversity Cause Economic Growth in the Long-Run? A GMM Panel VAR Evidence

Bibliographic Data

ID4182329
AuthorsEjike Udeogu (0000-0003-1626-2796, University of East London), Shampa Roy-Mukherjee, Shampa Roy‐Mukherjee (University of East London), Uzochukwu Amakom (0000-0002-7036-4278, University of Nigeria, corresponding author)
Year2021
Volume11
Issue3
Publication date2021-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/21582440211032918
OpenAlexW3189652843
LanguageEN
Citations received4
References cited63

Using aggregate data from 31 Organization for Economic Co-operation and Development (OECD) countries covering periods from 1982 to 2017, this study examines the notion that the level of product complexity is a good determinant of economic growth in the long run. We use the impulse-response function (IRF) computed from the consistent generalized method of moment panel vector autoregressive (GMM pVAR) model to estimate the response of the real output growth to a change in the economic complexity index. The IRF shows that the economic complexity index has a significant impact on economic growth; a 1 standard deviation shock to the economic complexity index at time 0 contributes around 2.34 percentage points to the average rate of growth of output within the first period. The point estimates are positive and significant up to the third period. The cumulative IRF shows that the aggregate impact on economic growth is about 4.4% in the long run. Compared to some widely used innovation proxies such as the gross expenditure on research and development and secondary school enrollment, the economic complexity index performs relatively better in our model in determining economic growth in the long run

Autoregressive model · Econometrics · Economics · Gross domestic product · Impulse response · Macroeconomics · Panel data · Real gross domestic product · Vector autoregression · Computer Science · Economic and Technological Innovation · Economic Growth and Productivity · Energy, Environment, Economic Growth · Mathematics

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Unique citing works4
Citations per year1,33
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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