Alleviating Poverty in Sudan—An Empirical Analysis of Women’s Participation in the Sudanese Labor Market

Abstract

This study uses the Vector Error Correction Model (VECM) approach to analyze the dynamic relationship between poverty and women’s employment in Sudan’s agriculture and services sectors from 1991 to 2022. The findings reveal a significant short-term causal association between women’s employment in the services sector and poverty and a weak short-term causal relationship between women’s employment in the agricultural sector and poverty. Over the long run, the findings demonstrate a significant link between poverty and women’s employment in both sectors, with mutually inverse impacts. The error-correction coefficient shows that it takes 14.5 years to achieve a long-term balance. The study recommends the government’s land grabbing in a fair way, educating women, and urging them to take on advanced roles, besides developing an industrial agricultural sector that relies heavily on modern agricultural technologies.

JEL Code: I32