Pause, Pivot, and Shift: Situational Human Capital and Responses to Sudden Job Loss

How, in the wake of the coronavirus crisis, do workers respond to rapid changes in the labor market? This paper mobilizes existing literature on occupational mobility and job loss to develop a theory of situational human capital in which some workers are better positioned to weather occupational transitions than others depending on the alignment between their skill sets, opportunities, and particular contexts. Previous literature looks at this in the case of “pausing,” when workers, such as women, take time off from work. Relatively less explored but equally consequential are transitions like “pivoting,” in which workers maneuver within their occupations to adjust their practices or platforms in order to keep working, and “shifting,” in which workers change their occupations altogether. Since most government unemployment benefits focus almost exclusively on workers’ pauses, they neglect to support workers as they pivot and shift during periods of labor market instability and disruption. This paper concludes by offering some policy recommendations to fill this gap.

Joint Labor and Environmental Networks’ Chemical Disaster Prevention Recommendations to the U.S. Chemical Safety and Hazard Investigation Board

More than 180 preventable incidents at hazardous chemicals facilities occur each year, resulting in deaths, injuries, evacuations, shelter in place orders, environmental contamination, and facility shutdowns with permanent job loss. As of June 17, 2021, the Chemical Safety Board (CSB) had nineteen open site investigations of incidents that in total killed thirty-two people, injured at least eighty-seven people, led to thousands of residents sheltering in place or evacuating, and resulted in many millions of dollars in property damage. This document outlines twenty-one practical and measurable actions that the CSB can take to rebuild its investigative and recommendations capacity; set clear priorities for agency action; reform its governance policies; and increase public transparency and engagement. The proposed actions address incident investigations, safety studies, safety recommendations, agency governance, and public transparency and engagement.

Future of Work and Its Implication on Employee Well-Being in the 4IR Era

Capitalist corporations seek ever-new opportunities for trade and gain. As competition intensifies within markets, profit-seeking corporations innovate and diversify their products in an unceasing pursuit of new market niches. The incessant changes and unpredictable nature of capitalism often leads to insecurity regarding job loss. Job insecurity has been empirically proven to have negative effects on individuals and organisations. It associates to reduced job satisfaction and decreased mental health. A longitudinal Swedish study showed an indirect effect of trust on job satisfaction and mental health of employees. The advent of AIs, humanoids, robotics, and digitization present reason for employees to worry about the future of their work. A recent study conducted by the McKinsey Global Institute reports that by 2030, a least 14% of employees globally could need changing their careers as a result of the rapid rate of digitization, robotics, and advancement in artificial intelligence disruptions in the world of work.

Food Security, Financial Resources, and Mental Health: Evidence during the COVID-19 Pandemic

COVID-19 has negatively impacted many households’ financial well-being, food security, and mental health status. This paper investigates the role financial resources play in understanding the relationship between food security and mental health among U.S. households using data from a survey in June 2020. Results show job loss and savings draw down to pay for household bills had a significant relationship with both lower food security and greater numbers of poor mental health days during the pandemic.

Loss of Employment, Lockdown Measures and Government Responses in Malaysia during the Covid-19 Pandemic: A Note

In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.