能源转型中的地域和工作技能匹配

IF 3.6 2区 社会学 Q2 ENVIRONMENTAL STUDIES Extractive Industries and Society-An International Journal Pub Date : 2024-03-01 DOI:10.1016/j.exis.2023.101397
Jacob Greenspon , Daniel Raimi
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引用次数: 0

摘要

美国能源系统的变化引发了化石燃料工人失业的担忧。由于这些就业影响在美国各地差异很大,因此必须因地制宜地制定政策。我们开发了一种分析方法,帮助政策制定者了解能源工人可能面临的本地化机遇和挑战。我们首先估算了当地劳动力市场在化石燃料开采、运输、加工和电力行业工作岗位转移的风险。然后,我们评估了化石能源工人的技能组合在多大程度上与当地劳动力市场高增长的类似薪酬工作相匹配。我们记录了不同地方劳动力市场在化石能源劳动力人口结构、当前工作技能以及这些技能与未来十年紧缺工作技能的匹配程度方面存在的巨大差异。我们发现,除了大多数技术技能外,化石燃料工作所需的技能通常不同于薪酬水平相近的快速增长职业所需的技能,其中许多职业需要广泛的服务型和管理技能。我们的方法和相关分析工具可随时用于提供适合当地情况的信息,说明现有化石能源劳动力与紧缺行业之间的技能不匹配情况,并提出劳动力发展可能取得最大成果的领域。
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Matching geographies and job skills in the energy transition

The changing US energy system raises concerns of job losses among fossil fuel workers. Since these employment impacts vary considerably across the US, policies must be tailored to local contexts. We develop an analytical approach to help policymakers understand the localized opportunities and challenges that energy workers may face. We first estimate the exposure of local labor markets to job displacement in fossil fuel extraction, transportation, processing, and electricity industries. We then assess the extent to which the skill sets of fossil energy workers match similarly-paying jobs with high growth in their local labor markets. We document substantial differences across local labor markets in terms of fossil fuel workforce demographics, their current job skills, and how well these skills align with those for in-demand jobs over the coming decade. We find that other than most technical skills, skills important for fossil fuel jobs typically differ from those necessary for fast-growing occupations with similar levels of pay, many of which require extensive service-oriented and management skills. Our methodology and associated analytical tools can be readily used to provide locally tailored information about skills mismatches between the existing fossil energy workforce and in-demand sectors, suggesting areas where workforce development may bear the most fruit.

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CiteScore
6.60
自引率
19.40%
发文量
135
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