文章基本信息

标题：Technological Unemployment: An approximation to the Latin American Case
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作者：Andrés Aguilera ; María Gabriela Ramos Barrera
期刊名称：AD-minister
印刷版ISSN：2256-4322
出版年度：2016
期号：29
页码：59-78
DOI：10.17230/ad-minister.29.3
出版社：Universidad EAFIT
摘要：Recent advancements in Artificial Intelligence (AI), robotics, control systems, software and related technologies have revived the debate on the influence that technology has on labor markets.So far, the focus of the literature has been on advanced economies.This document aims to analyze the following variables: domestic spending in science and technology, GDP per capita, nominal minimum wage, domestic spending in education and their impact on unemployment rate in seven Latin American countries from 1996 to 2011.Panel data was used to measure the relation of these variables with unemployment rates in the region.The results allowed us to conclude that investment in Science and Technology in the region has not reached levels that potentially reduce employment; on the contrary, innovation is regarded as a source of labor productivity gains.The broader implications of technology and automation are yet to be seen, however, both firms and the public sector in the region must prepare for massive technological unemployement, as predicted by recent models.
关键词：Technological innovation; unemployment; science and technology investments; gross domestic product.