Apply Today

If you are looking for a rewarding career
in online therapy apply today!

APPLY NOW

Sign Up For a Demo Today

Does your school need
Online Therapy Services

SIGN UP

Understanding H-2A Violations: Insights for Practitioners

Understanding H-2A Violations: Insights for Practitioners

The agricultural sector is a cornerstone of the U.S. economy, heavily reliant on migrant workers to meet its labor demands. Among these workers are those employed under the H-2A visa program, which allows foreign nationals to fill temporary agricultural jobs. However, the vulnerability of these workers to labor violations is a significant concern.

Key Findings from Recent Research

A recent study titled "Enhancing detection of labor violations in the agricultural sector: A multilevel generalized linear regression model of H-2A violation counts" sheds light on this issue. The research identifies several factors at the state and industry levels that correlate with H-2A violations. These include:

Implications for Practitioners

The findings offer valuable insights for practitioners involved in labor inspections and compliance efforts. By understanding these correlations, practitioners can better allocate resources and prioritize inspections in areas with higher risks of violations. This targeted approach can lead to more effective enforcement of labor regulations and protection for vulnerable workers.

Strategies for Improvement

The study suggests that enhancing detection efforts requires a flexible strategy that considers both location and industry type. Practitioners should focus on:

The Path Forward

This research highlights the need for ongoing efforts to improve labor conditions for H-2A workers. Practitioners are encouraged to delve deeper into these findings and consider further research to refine inspection strategies and policies. By doing so, they can contribute to creating a safer and more equitable working environment for all agricultural workers.

To read the original research paper, please follow this link: Enhancing detection of labor violations in the agricultural sector: A multilevel generalized linear regression model of H-2A violation counts.


Citation: Jafari, A., De Azevedo Drummond, P., Bhimani, S., Nishigaya, D., Ding, A. A., Farrell, A., & Maass, K. L. (2024). Enhancing detection of labor violations in the agricultural sector: A multilevel generalized linear regression model of H-2A violation counts. PLoS ONE.
Marnee Brick, President, TinyEYE Therapy Services

Author's Note: Marnee Brick, TinyEYE President, and her team collaborate to create our blogs. They share their insights and expertise in the field of Speech-Language Pathology, Online Therapy Services and Academic Research.

Connect with Marnee on LinkedIn to stay updated on the latest in Speech-Language Pathology and Online Therapy Services.

Apply Today

If you are looking for a rewarding career
in online therapy apply today!

APPLY NOW

Sign Up For a Demo Today

Does your school need
Online Therapy Services

SIGN UP

Apply Today

If you are looking for a rewarding career
in online therapy apply today!

APPLY NOW

Sign Up For a Demo Today

Does your school need
Online Therapy Services

SIGN UP