Determinants of Women's Participation in Leadership Positions in Wombera Civil Service Metekel Zone of Benishangul Gumuz, Ethiopia

The women's movement over the last century has fostered unprecedented participation of women in various sectors of public life, including leadership roles and policy discussions. Women continue to face numerous barriers that hinder their ability to ascend to leadership roles, including systemic biases, cultural norms, and organizational practices that favor male leadership. This study aims to analyse the factors affecting women's participation in leadership positions in wombera civil service. Primary and secondary sources of data were used to collect quantitative and qualitative data from 218 samples of respondents through survey questionnaires, Focus group discussions, and key informant interviews. An econometrics model (binary logistic regression) was used to analyse factors affecting women's participation in leadership positions in the civil service. The results of this Binary logistic model showed that variables like the education level of the household, family size, and working experience were positively influenced, whereas the age of the household was negatively influenced by women's participation in leadership positions in civil service. So, policy and development interventions should focus on factors that help women's participation in leadership positions, and governments should provide psychological counseling, allocate resources, and develop policies to improve their situation, emphasizing the need for local, regional, and federal government support to improve women's participation in leadership positions.

Authors

Institutions

Publication Details

Journal
Research & Development
Published
2025-10-09
DOI
https://doi.org/10.11648/j.rd.20250603.11
Primary Topic
Poverty, Education, and Child Welfare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Women's Participation in Leadership Positions in Wombera Civil Service Metekel Zone of Benishangul Gumuz, Ethiopia

Urji Argeta
Research & Development
Poverty, Education, and Child Welfare
article

Determinants of Women's Participation in Leadership Positions in Wombera Civil Service Metekel Zone of Benishangul Gumuz, Ethiopia

Urji Argeta
article en

Abstract

The women's movement over the last century has fostered unprecedented participation of women in various sectors of public life, including leadership roles and policy discussions. Women continue to face numerous barriers that hinder their ability to ascend to leadership roles, including systemic biases, cultural norms, and organizational practices that favor male leadership. This study aims to analyse the factors affecting women's participation in leadership positions in wombera civil service. Primary and secondary sources of data were used to collect quantitative and qualitative data from 218 samples of respondents through survey questionnaires, Focus group discussions, and key informant interviews. An econometrics model (binary logistic regression) was used to analyse factors affecting women's participation in leadership positions in the civil service. The results of this Binary logistic model showed that variables like the education level of the household, family size, and working experience were positively influenced, whereas the age of the household was negatively influenced by women's participation in leadership positions in civil service. So, policy and development interventions should focus on factors that help women's participation in leadership positions, and governments should provide psychological counseling, allocate resources, and develop policies to improve their situation, emphasizing the need for local, regional, and federal government support to improve women's participation in leadership positions.

Research & DevelopmentVol. 6(3)
Jimma University (ET)
Openalex Percentile: Top 72%
Poverty, Education, and Child Welfare
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.