9 research outputs found
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Reverse Migration: The Impact of Returning Home
Global labor migration is gendered. There is a common misperception that most migrant workers are male but large numbers of women migrate in order to find work abroad or to urban sectors within their own countries. Migrant labor is also divided along gendered lines by the types of work available and rates of pay. Women constitute about half of international migrants (95 million), and send millions of dollars in remittances home to educate their children and support their families (UNFPA, 2006). Since the 1960’s, approximately half of migrant workers have been female but since 2000, there has been an increase in women migrating independently and as the main income earner, rather than just following male relatives (Jolly, 2005
Long-Term Effects of COVID-19, and Its Impact on Business, Employees, and CO<sub>2</sub> Emissions, a Study Using Arc-GIS Survey 123 and Arc-GIS Mapping
Further investigation is needed to study the impacts of the COVID-19 lockdown and subsequent lifestyle changes. The global pandemic caused a high degree of uncertainty, leading to extreme anxiety. These feelings were also compounded by the sudden changes in lifestyle at home, within families, work, studies, and recreation. With the end of the lockdown approaching in most regions of the world, many of these lifestyle changes, including work-from-home, might remain for a good percentage of the workforce. The primary objective of this research is to explore employees’ work-from-home model and its impact on commute time, job satisfaction, and carbon footprint. Quantitative variables include data from North America and Global country-specific carbon dioxide (CO2) emissions, and quantitative data, including employee satisfaction, commute time, miles traveled, and more, was collected using ArcGIS Survey123. This research focus on CO2 emissions data, comparing 2019 data (March to May) as a baseline to 2020, 2021, and 2022 (March to May) as the target year. The hypothesis is that the work-from-home order had a significant impact on short-term CO2 reductions and could have potential long-term impacts due to many corporations’ adoption of the “work-from-home” model. The data collected regarding CO2 were analyzed using ArcGIS Pro and Geostatistical Interpolation. This study also explored the potential impacts of this adoption on employee job satisfaction and CO2 emissions reductions based on surveyed employees. Another objective of this research is to look at the relationship between the COVID-19 lockdown with the work-from-home model and the reduction in air emissions, namely CO2
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Walking with farmers: floods, agriculture and the social practice of everyday mobility
Despite growing interest in the relationship between human mobility and environmental variability and change in recent years, there is relatively little understanding of the role of human agency within this nexus. This paper helps to address this knowledge gap by illuminating the role of perception, action and decision-making in the everyday. Using an innovative walking methodology, it presents an empirical case study of regularised farmer movements in and out of a floodplain during the rainy season in central Mozambique to show how people’s day-to-day routes are continuously reproduced through meaningful encounters and engagements with physical obstacles and other people. The paper demonstrates how a concern with everyday mobility highlights people’s day-to-day capacities to respond to environmental variability and change while also drawing attention to the challenges associated with the gradual accumulation of risk in mobile, rural livelihoods