{"title":"Automation, firm employment and skill upgrading: firm-level evidence from China","authors":"Xiaozhen Qin, Weipan Xu, Haohui Chen, Jiawei Zhong, Yifei Sun, Xun Li","doi":"10.1080/13662716.2022.2122411","DOIUrl":null,"url":null,"abstract":"ABSTRACT The present empirical study investigated the impacts of automation technology on employment at the firm level in Dongguan, China. Results of propensity score matching (PSM) and difference-in-difference (DID) modelling show that automation technology increases the total employment as well as employment associated with workers at all skill levels of firms, indicating that the productivity effect is stronger than the displacement effect in manufacturing firms. Furthermore, automation technology has led to the skill upgrading of employment composition, with the proportion of high-skilled labour increasing and low-skilled labour decreasing. Moreover, automation can increase labour turnover in some PSM scenarios but reduce local labour share. Automation technology also has a lasting effect on employment size and local labour share, while its impact on employment skill composition lasts only three years. In addition, automation technology substantially affects the employment composition of labour-intensive, foreign-invested firms and firms older than six years.","PeriodicalId":13585,"journal":{"name":"Industry and Innovation","volume":"29 1","pages":"1075 - 1107"},"PeriodicalIF":3.4000,"publicationDate":"2022-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industry and Innovation","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/13662716.2022.2122411","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 3
Abstract
ABSTRACT The present empirical study investigated the impacts of automation technology on employment at the firm level in Dongguan, China. Results of propensity score matching (PSM) and difference-in-difference (DID) modelling show that automation technology increases the total employment as well as employment associated with workers at all skill levels of firms, indicating that the productivity effect is stronger than the displacement effect in manufacturing firms. Furthermore, automation technology has led to the skill upgrading of employment composition, with the proportion of high-skilled labour increasing and low-skilled labour decreasing. Moreover, automation can increase labour turnover in some PSM scenarios but reduce local labour share. Automation technology also has a lasting effect on employment size and local labour share, while its impact on employment skill composition lasts only three years. In addition, automation technology substantially affects the employment composition of labour-intensive, foreign-invested firms and firms older than six years.
期刊介绍:
Industry and Innovation is an international refereed journal presenting high-quality original scholarship of the dynamics of industries and innovation. Interdisciplinary in nature, Industry and Innovation is informed by, and contributes in turn to, advancing the theoretical frontier within economics, organization theory, and economic geography. Theoretical issues encompass: •What are the institutional underpinnings for different organizational forms? •How are different industrial structures and institutions related to innovation patterns and economic performance?