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Giving Workers The 'Green Light': Defining Green Jobs And Exploring Their Distribution In The Us, Cole Fuller Jan 2024

Giving Workers The 'Green Light': Defining Green Jobs And Exploring Their Distribution In The Us, Cole Fuller

Honors Theses and Capstones

As the United States continues to adopt sustainable practices and policies to combat climate change, it is important to consider how these green changes affect the workforce. The term ‘Green Jobs’ has become the colloquial term to refer to sustainable occupations, and despite its popularity in the literature, it often has different meanings in different settings. Our first goal was to explore these definitions and establish one to contextualize our research. We used data from the Occupational Information Network, and used their green job definition, which classifies jobs as green if, and how, they are impacted by the greening economy. …


Exploring Churn And Alignment Between Retention And Occupational Culture As Perceived By Professional Truck Drivers, Catherine M. Cole May 2018

Exploring Churn And Alignment Between Retention And Occupational Culture As Perceived By Professional Truck Drivers, Catherine M. Cole

Dissertations

Despite advances in logistics software and increased driver pay, the trucking industry continues a historic wave of human capital risks in the form of driver turnover and driver shortages. Previous efforts to understand the phenomenon of driver turnover rely heavily on supply chain, transportation, and logistics based disciplines. The current study provides a human capital ontology towards understanding professional truck driver perceptions. Within the interpretive framework of pragmatism, the study applied a simultaneous ethnographic and phenomenological research design to explore the phenomenon of churn and professional truck driver perceptions of environmental alignment between trucking industry retention strategies and the occupational …


Variations In Dropout Rates Across Virginia, Joshua K. Bowser Dec 2006

Variations In Dropout Rates Across Virginia, Joshua K. Bowser

Undergraduate Theses and Capstone Projects

Using Ordinary Least Squares (OLS) regression analysis, this study attempts to capture variation in dropout rates across Virginia counties and cities. With the respective dropout rates as the dependent variable, seven independent variables are used accordingly in order to provide as much explanatory power as possible. At the 10 percent significance level, four of seven variables are statistically significant with an adjusted R2 of .374. Important policy implications can be derived from the model and its statistically significant variables. The model finds that the percentage of blacks in the population, university access, the unemployment rate and single female-headed households to …