Li Haishi | Robots, Tools, and Jobs: Evidence from the Brazilian Labor Market
December 8 - 9, 2023,Sponsored by the Center for International Finance and Economics Research (CIFER) of PBC School of Finance, Tsinghua University, hosted by Liaoning University, and co - organized by the Center for International Finance and Economics Research (CIFER) and the School of Finance and Trade of Liaoning University,"The 2023 Academic Symposium on International Trade Disputes and the Reconstruction of Globalization"was successfully held.
Assistant Professor of the University of Hong KongLi Haishiattendedthe session chaired by ProfessorZhang Yanfrom the Central University of Finance and Economics.Session 8: Artificial Intelligence and the Digital Economy. Heshared an article co - written with his collaborators titled "Robots, Tools, and Jobs: Evidence from the Brazilian Labor Market"
Li Haishi, an assistant professor of economics at the University of Hong Kong and the project leader of the Shenzhen Research Institute of the School of Business and Economics of the University of Hong Kong.He obtained his Ph.D. in economics from the University of Chicago in 2021 and has been teaching at the Department of Economics of the University of Hong Kong since graduation. His main research areas include international trade, international macroeconomics, and regional economics. His research focuses on analyzing, both theoretically and empirically, how economic shocks and natural disasters spread in the international economy, thus affecting well - being and having policy implications. His papers have been published inJournal of International Economicsand other journals.
Li Haishi
When sharing the article, Li Haishi pointed out that this article studies the impact of labor - saving machines and labor - augmenting machines on employment and inequality in Brazil. By using natural language processing and instrumental variable methods, the article finds that labor - saving machines replace workers, while labor - augmenting machines restore workers to the same extent. In addition, labor - saving machines tend to replace workers of all education levels, while labor - augmenting machines mainly benefit low - skilled workers, thus reducing wage inequality. In short, the research results show that if technological progress leads to a continuous decline in the prices of labor - saving machines and labor - augmenting machines, inequality can be reduced without affecting the overall employment level.