Exchanging workers for robots: the impacts of automation in Paraná State/Brazil

Abstract

The replacement of people by machines is not a recent concern. Common occupations may cease to exist due to recent advances in artificial intelligence, robotics, algorithms, and mechanization. This article aims to identify the regional impacts of replacing humans with machines, i.e., which municipalities will be most vulnerable. Using data from the research by Frey and Osborne (2017), the study analyzed and identified through geographically weighted regression that, in Paraná State, municipalities with a larger rural population should be the most affected by automation.

Keywords

• Automation
• regional economy
• economy of Paraná State
• geographically weighted regression