Article (Scientific journals)
Resource capacity and economic growth convergence
Walheer, Barnabé; Perelman, Sergio
2025In Journal of Productivity Analysis, 63 (3), p. 317 - 338
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Keywords :
convergence; economic growth; non-parametric; under-investment; Business and International Management; Social Sciences (miscellaneous); Economics and Econometrics
Abstract :
[en] Resource accumulation has been identified, with technological change, as a major explanatory factor of economic growth convergence. At the same time, resource capacity may act as a growth limiting factor. Under-investment may have a moderator effect on the economic growth convergence process, while path-dependencies may be observed. Using a tailored non-parametric model and a unique sample of 92 countries all around the world for the 1965–2019 period, we study the role of resource capacity from a new angle. First, we measure potential countries’ under-investment. Next, we quantify its role in the economic growth convergence process. Our findings reveal that under-investment exists and that it represents a brake on economic growth convergence. However, such an effect can be counterbalanced by promoting technological advances or creating a more favourable resource environment. Finally, we run several sensitivity tests to assess the robustness of our findings.
Disciplines :
Macroeconomics & monetary economics
Author, co-author :
Walheer, Barnabé  ;  Université de Liège - ULiège > HEC Liège : UER > UER Economie : Microéconométrie et économétrie appliquée
Perelman, Sergio  ;  Université de Liège - ULiège > Ecole de Gestion de l'Université de Liège
Language :
English
Title :
Resource capacity and economic growth convergence
Publication date :
June 2025
Journal title :
Journal of Productivity Analysis
ISSN :
0895-562X
eISSN :
1573-0441
Publisher :
Springer
Volume :
63
Issue :
3
Pages :
317 - 338
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique
Funding text :
We thank the Editor Robert Chambers, the Guest Editor, and the referee for their useful comments. This work is supported by the Fonds de la Recherche Scientifique (FNRS) under Grant No. J.0193.23.
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since 12 January 2026

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