Why your clothes will be cheaper to make in Bangladesh

The garment manufacturing process can be very labor intensive, and it’s very time-consuming.

A new study by the Global Labor Watch shows that a Bangladesh-based clothing company is trying to help with this by providing the workers with free uniforms.

A worker at a garment factory in Dhaka, Bangladesh, wears a garment that was produced by a garment processing company in Dhakar, Bangladesh.

The garment process takes a lot of energy, and there are many costs associated with it, as well.

“We think this would be an extremely good way to reduce the labor burden and improve the quality of clothing,” said Liana Kish, the lead researcher on the report, which was published on Tuesday.

“By providing the garment workers with the same uniform they are used to, we think it would help their lives.”

The study was done by a group of labor experts, including researchers at the University of Chicago and the University at Buffalo, as part of a project called the “Unfinished Business.”

The goal of the project was to find ways to reduce labor costs by improving the process of making clothing.

According to the study, the workers at a textile factory in Bangladesh were required to wear the same garment for two to three weeks.

After the two weeks were up, the garment was washed, then the workers were given new uniforms and were told to return to work.

This is how the study found the company paid workers an average of $1.50 per garment.

While the researchers didn’t find any major issues with the clothing workers, the researchers did say the uniforms could be a significant source of strain.

They say it would be difficult to determine if the company is actually paying workers the same wage as what they would be earning in a normal garment factory, because it would require a lot more statistical information.

They also said that they would need to be able to track and measure how much each worker was making per garment, which is a task that would take years of data collection and analysis.