Showing 1 - 10 of 96
In this paper, we develop a new index labelled the African Women Vulnerability index (AWVI) with a focus on rural women using the Round 7 Afrobarometer Survey. The AWVI comprises 59 indicators in six dimensions namely: safety, empowerment, health, education, economic prosperity and...
Persistent link: https://www.econbiz.de/10012799879
Persistent link: https://www.econbiz.de/10012182372
The present study examines the relevance of globalization in lifelong gender inclusive education for structural … moments (GMM) is employed to assess the problem statement within the remit of interactive regressions. Gender inclusive … lifelong learning is measured as gender inclusive education acquired during the three levels of education, notably: primary …
Persistent link: https://www.econbiz.de/10014514159
Persistent link: https://www.econbiz.de/10014235146
In this paper, we develop a new index labelled the African Women Vulnerability Index (AWVI) with a focus on rural women using Round 7 of the Afrobarometer Survey. The AWVI comprises 59 indicators in six dimensions namely: safety, empowerment, health, education, economic prosperity and...
Persistent link: https://www.econbiz.de/10013473199
This study complements the extant literature by assessing economic sector and globalization channels for gender … gender employment in the industry and the negative effect is driven by the financial globalization sub-component of economic …-components positively affect gender employment in the service sector and the corresponding positive effect is driven by the trade …
Persistent link: https://www.econbiz.de/10014265910
This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing...
Persistent link: https://www.econbiz.de/10012112214
The question of what really drives economic growth in sub-Saharan Africa (SSA) has been debated for many decades now. However, there is still a lack of clarity on variables crucial for driving growth as prior contributions have been executed at the backdrop of preferential selection of...
Persistent link: https://www.econbiz.de/10014278138
This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing...
Persistent link: https://www.econbiz.de/10012052994
The question of what really drives economic growth in sub-Saharan Africa (SSA) has been debated for many decades now. However, there is still a lack of clarity on variables crucial for driving growth as prior contributions have been executed at the backdrop of preferential selection of...
Persistent link: https://www.econbiz.de/10013380603