Technical efficiency analysis of African economic growth: Panel stochastic frontier model approach

Increased economic growth does not necessarily guarantee improvements in technical efficiency unless it is linked to efficient resource utilization. Accordingly, this study examined the technical efficiency of African economic growth and its determinants, utilizing the World Bank dataset for 47 African countries from 2005 to 2022. We employed the Cobb-Douglas functional form and a time-varying stochastic panel frontier model. We applied generalized true fixed effects model for estimation. The findings of the generalized true fixed effects model indicated that sampled African countries had a mean of overall, transient and persistent technical efficiency score of 90.4 %, 91.15 %, and 99.18 % respectively. The model estimation result also revealed that final consumption expenditure, domestic credit, and trade openness affects transient inefficiency negatively and significantly, whereas year has positive effect on transient inefficiency. Institutional quality and access to electricity positively and significantly affects persistent inefficiency. In conclusion, the model results indicate that technical efficiency differs across countries, highlighting opportunities for improvement without a substantial increase in production inputs. Thus, countries should prioritize the efficient use of resources to enhance their technical efficiency.

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Publication Details

Journal
Scientific African
Published
2025-03-15
DOI
https://doi.org/10.1016/j.sciaf.2025.e02648
Citations
2
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
4.21
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article

Technical efficiency analysis of African economic growth: Panel stochastic frontier model approach

Meshesha Zewdie Amare, Wondaferahu Mulugeta Demissieb, Malebo Mancha Massaa
2 citations
Scientific African
Efficiency Analysis Using DEA
4.21
article

Technical efficiency analysis of African economic growth: Panel stochastic frontier model approach

Meshesha Zewdie Amare, Wondaferahu Mulugeta Demissieb, Malebo Mancha Massaa
article en
2 citations

Abstract

Increased economic growth does not necessarily guarantee improvements in technical efficiency unless it is linked to efficient resource utilization. Accordingly, this study examined the technical efficiency of African economic growth and its determinants, utilizing the World Bank dataset for 47 African countries from 2005 to 2022. We employed the Cobb-Douglas functional form and a time-varying stochastic panel frontier model. We applied generalized true fixed effects model for estimation. The findings of the generalized true fixed effects model indicated that sampled African countries had a mean of overall, transient and persistent technical efficiency score of 90.4 %, 91.15 %, and 99.18 % respectively. The model estimation result also revealed that final consumption expenditure, domestic credit, and trade openness affects transient inefficiency negatively and significantly, whereas year has positive effect on transient inefficiency. Institutional quality and access to electricity positively and significantly affects persistent inefficiency. In conclusion, the model results indicate that technical efficiency differs across countries, highlighting opportunities for improvement without a substantial increase in production inputs. Thus, countries should prioritize the efficient use of resources to enhance their technical efficiency.

Scientific AfricanVol. 28
Ethiopian Civil Service University (ET), Arba Minch University (ET)
Decent work and economic growth
Openalex Percentile: Top 7%
Efficiency Analysis Using DEA
4.21
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Technical efficiency analysis of African economic growth: Panel stochastic frontier model approach — Meshesha Zewdie Amare, Wondaferahu Mulugeta Demissieb, et al. · Scientific African (2025) | TGRS Research Map | TGRS