Driving in a man's world: examining gender disparity in the trucking industry

Author:

Scott Alex,Davis-Sramek BethORCID

Abstract

PurposeRecent supply chain disruptions have highlighted the global shortage of truck drivers. Because it is a quintessential “masculine” profession, the proportion of women truck drivers is small, although efforts are underway to recruit and retain women. This research offers a comprehensive and theoretically-driven empirical analysis of women in the US trucking industry.Design/methodology/approachThe research utilizes a detailed longitudinal database of 20 million driver inspections from 2010 to 2019. It is paired with US Social Security Administration data to infer the gender of the driver for each inspection. Descriptive evidence is provided, and a logit model is used to test the hypotheses.FindingsThe research finds that female truck drivers make up 3.2% of the inspection sample, but their representation has grown by 23.1% over the last decade. Women are vastly overrepresented in the jobs that are the easiest to get and underrepresented in jobs that offer better pay, more regular hours and more time at home. However, the proportion of women in more desirable truck driving jobs has grown from 2010 to 2019, offering positive news for the industry.Practical implicationsThe research offers a more credible and realistic statistic for the proportion of women in the industry, contradicting previous industry figures. The research also highlights policy implications for industry stakeholders.Social implicationsThe truck driving industry is vital for a nation's economic sustainability. Truck driving jobs offer better wages and more opportunity than many non-professional female-dominant jobs. The research emphasizes the path to move into jobs that are better suited for women with domestic or family responsibilities.Originality/valueThe authors document hitherto unknown facts about women in the US trucking industry. Using theoretically driven research in organizational science, this study highlights the interplay of supply-side and demand-side factors that help to explain a nuanced perspective of the workforce composition and discusses potential policies to increase the number of female drivers.

Publisher

Emerald

Subject

Management of Technology and Innovation,Transportation

Reference101 articles.

1. Avi-Yonah, S. (2021), “Women are entering a trucking industry that's not built for them”, Bloomberg, August 20, 2021, available at: https://www.bloomberg.com/news/articles/2021-08-20/women-are-entering-a-trucking-industry-that-s-not-built-for-them

2. Balthrop, A. and Scott, A. (2020), “To announce or not to announce? Organizational responses to varied inspection regimes”, Researchgate, available at: https://www.researchgate.net/publication/350152509_To_Announce_or_Not_to_Announce_Organizational_Responses_to_Varied_Inspection_Regimes

3. Do women choose different jobs from men? Mechanisms of application segregation in the market for managerial workers;Organization Science,2013

4. Husbands and wives in dual-earner marriages: decision-making, gender roles attitudes, division of household labor, and equity;Marriage and Family Review,2005

5. Human capital, effort, and the sexual division of labor;Journal of Labor Economics,1985

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving;Frontiers in Neurorobotics;2023-11-30

2. Examining the gender wage gap in logistics;Journal of Business Logistics;2023-10-09

3. Urban and Social Policies: Gender Gap for the Borderless Cities;Computational Science and Its Applications – ICCSA 2023 Workshops;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3