农业中的职业性别隔离:尼日利亚性别规范和社会情感技能的证据

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Smita Das, Clara Delavallade, Ayodele Fashogbon, Wale Olatunji Ogunleye, Sreelakshmi Papineni
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引用次数: 0

摘要

职业性别隔离是造成收入性别差距的主要驱动因素。本文利用尼日利亚11691名有抱负的农业综合企业企业家的数据,探讨了推动部门选择的因素、选择决策中的性别差异,特别是围绕性别角色的规范所发挥的作用。当在政府项目中选择11个农业价值链时,我们发现大多数(54%)申请人选择进入家禽价值链,女性比男性更有可能选择家禽。这篇文章发现了尼日利亚北部各州限制性更强的性别规范的证据,这降低了女性进入农业价值链的可能性,因为那里的利润潜力可能更高。部门选择中的性别偏见也归因于工作经验的差异,特别是在农业活动、所选价值链以及土地所有权方面。在男性主导的农业价值链中有更多经验的女性表现出较低的自我效能感,这可能反映了她们在偏离社会规范在非传统价值链中运作时所面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Occupational sex segregation in agriculture: Evidence on gender norms and socio-emotional skills in Nigeria

Occupational sex segregation is a key driver of the gender gap in earnings. Using data from 11,691 aspiring agribusiness entrepreneurs in Nigeria, this article explores factors that drive sectoral choice, gender differences in the choice decision, and especially the role played by norms around gender roles. When given a choice of 11 agricultural value chains in a government program, we find the majority (54 percent) of the applicants chose to enter into the poultry value chain, and women were more likely to choose poultry than men. This article finds evidence of more restrictive gender norms in Northern Nigeria states, which lowers women's likelihood of entering into agricultural value chains where the potential for profit may be higher. The gender bias in sectoral choice is also attributed to differences in work experience especially in agricultural activities and in the chosen value chain, as well as in land ownership. Women with more experience in male-dominated agricultural value chains exhibit lower self-efficacy, which could reflect the challenges they face when deviating from social norms to operate within nontraditional value chains.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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