Voters’ Perception and Women's Electoral Success in Nepal: An Econometric Analysis

Authors

DOI:

https://doi.org/10.3126/idjina.v3i2.73201

Keywords:

Election, gender, inclusion, ordered logit, voter’s perception

Abstract

This research explores the socio-cultural and institutional barriers to women's electoral success in Nepal, focusing on voter perceptions of female leadership. It aims to estimate the likelihood of voting for women candidates in the existing socio-economic and political dynamics. The study employed a quantitative research design. An ordered logistic regression model analyzed responses from 385 individuals from the Rupandehi district, utilizing a structured questionnaire. Findings reveal surprising trends, notably that female respondents exhibit a lower likelihood of supporting female candidates, indicating internalized biases and societal expectations regarding gender roles. Male respondents show varied biases influenced by education and occupation. The research highlights those patriarchal norms significantly hinder women’s political support, while positive factors like social media engagement can shift perceptions over time. The study highlights the urgent need for targeted interventions, such as expanded gender quotas and awareness campaigns, to address systemic biases and enhance women’s political representation, thereby contributing to gender equity in Nepal’s political landscape.

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Author Biographies

Sagar B.K., Tribhuvan University

MA Graduate, Central Department of Economics, Tribhuvan University, Nepal

Arjun Kumar Baral, Tribhuvan University

Professor, Executive Director at CEDA, Tribhuvan University, Nepal

Pramshu Nepal, Tribhuvan University

Associate Professor, Central Department of Economics, Tribhuvan University, Nepal

Smeeth Bista, Tribhuvan University

MA Graduate, Central Department of Economics, Tribhuvan University, Nepal

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Published

2024-12-31

How to Cite

B.K., S., Baral, A. K., Nepal, P., & Bista, S. (2024). Voters’ Perception and Women’s Electoral Success in Nepal: An Econometric Analysis. Interdisciplinary Journal of Innovation in Nepalese Academia, 3(2), 33–57. https://doi.org/10.3126/idjina.v3i2.73201

Issue

Section

Part I: Management, Social & Computer Science