Gender differential in economic participation, foreign aid and productivity: Pathway to broad-based growth

Gender inequality and poverty reduction are critical challenges in developing economies, particularly in the Southern African Development Community (SADC). This paper investigates the effect of gender differential in economic participation and foreign aid on productivity, specifically addressing three objectives: the efficacy of the medicine model of aid on productivity, the long-run effects, and the impact of aid shocks. Using panel Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Augmented Mean Group (AMG) estimators, the study examines the long-run impact. The Panel Vector Error Correction Model (PVECM) is employed to analyse the effect of aid shocks. For robustness checks, employment indicators are substituted for economic participation metrics. Empirical findings from the baseline model affirm the medicine model's proposition regarding the implications of aid on the SADC but reveal that aid has a negative coefficient in its ordinary form. The extended model demonstrates a significant and long-run negative impact of foreign aid on productivity. However, when considering the interactive effects, aid combined with economic participation positively influences productivity. Notably, the interaction of foreign aid and female economic participation significantly enhances productivity more than aggregate or male economic participation alone. Additionally, aid shocks negatively affect male economic participation more than the aggregate, with female economic participation being the least impacted. The study underlines the importance of prioritising female economic participation in aid programs to promote broad-based growth in the SADC region. The study recommends that aid agencies focus resources on projects that enhance female economic participation and meticulously evaluate project outcomes upon completion. • Foreign aid positively influences female economic participation and productivity in the SADC region. • Prioritising resources for enhancing female economic involvement is crucial for broad-based growth. • Evaluating aid projects post-completion is recommended to maximize effectiveness. • Gender-sensitive approaches in aid allocation are essential for improving economic outcomes. • Promoting gender equality in economic participation is key for sustainable development.

Authors

Institutions

Publication Details

Journal
Socio-Economic Planning Sciences
Published
2025-05-29
DOI
https://doi.org/10.1016/j.seps.2025.102250
Citations
2
Primary Topic
International Development and Aid
Type
article
Field-Weighted Citation Impact
6.90
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gender differential in economic participation, foreign aid and productivity: Pathway to broad-based growth

Abiola John Asaleye, Kariena Strydom
2 citations
Socio-Economic Planning Sciences
International Development and Aid
6.90
article

Gender differential in economic participation, foreign aid and productivity: Pathway to broad-based growth

Abiola John Asaleye, Kariena Strydom
article en
2 citations

Abstract

Gender inequality and poverty reduction are critical challenges in developing economies, particularly in the Southern African Development Community (SADC). This paper investigates the effect of gender differential in economic participation and foreign aid on productivity, specifically addressing three objectives: the efficacy of the medicine model of aid on productivity, the long-run effects, and the impact of aid shocks. Using panel Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Augmented Mean Group (AMG) estimators, the study examines the long-run impact. The Panel Vector Error Correction Model (PVECM) is employed to analyse the effect of aid shocks. For robustness checks, employment indicators are substituted for economic participation metrics. Empirical findings from the baseline model affirm the medicine model's proposition regarding the implications of aid on the SADC but reveal that aid has a negative coefficient in its ordinary form. The extended model demonstrates a significant and long-run negative impact of foreign aid on productivity. However, when considering the interactive effects, aid combined with economic participation positively influences productivity. Notably, the interaction of foreign aid and female economic participation significantly enhances productivity more than aggregate or male economic participation alone. Additionally, aid shocks negatively affect male economic participation more than the aggregate, with female economic participation being the least impacted. The study underlines the importance of prioritising female economic participation in aid programs to promote broad-based growth in the SADC region. The study recommends that aid agencies focus resources on projects that enhance female economic participation and meticulously evaluate project outcomes upon completion. • Foreign aid positively influences female economic participation and productivity in the SADC region. • Prioritising resources for enhancing female economic involvement is crucial for broad-based growth. • Evaluating aid projects post-completion is recommended to maximize effectiveness. • Gender-sensitive approaches in aid allocation are essential for improving economic outcomes. • Promoting gender equality in economic participation is key for sustainable development.

Socio-Economic Planning SciencesVol. 101
Walter Sisulu University (ZA)
Decent work and economic growth
Openalex Percentile: Top 3%
International Development and Aid
6.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.