{"title":"机器人与欧洲超级明星企业的崛起","authors":"Joel Stiebale, Jens Suedekum, Nicole Woessner","doi":"10.1016/j.ijindorg.2024.103085","DOIUrl":null,"url":null,"abstract":"<div><p>We study how a recent digital automation technology—industrial robots—is associated with the distribution of sales, productivity, markups, and profits within industries. Our empirical analysis combines data on the industry-level stock of industrial robots with firms' balance sheet data for six European countries from 2004 to 2013. We find that industries with high robot exposure are characterized by dis-proportional increases in productivity in those firms that are already most productive to begin with. Those firms are able to increase their markups and overall profits, while less profitable firms within the same industry, country and year tend to see declining markups and profits. We also find that variation in robot exposure across industries is correlated with declining labor income shares, mainly through adjustments within firms that are initially large, productive and have low labor cost-to -sales ratios. In sum, our paper suggests that European manufacturing industries with higher robot adoption rates experience a stronger emergence of <em>superstar firms</em> and more pronounced shifts of the functional income distribution away from wages and towards profits.</p></div>","PeriodicalId":48127,"journal":{"name":"International Journal of Industrial Organization","volume":"97 ","pages":"Article 103085"},"PeriodicalIF":1.7000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167718724000407/pdfft?md5=3e2d998e375f55c605e5165667371176&pid=1-s2.0-S0167718724000407-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Robots and the rise of European superstar firms\",\"authors\":\"Joel Stiebale, Jens Suedekum, Nicole Woessner\",\"doi\":\"10.1016/j.ijindorg.2024.103085\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We study how a recent digital automation technology—industrial robots—is associated with the distribution of sales, productivity, markups, and profits within industries. Our empirical analysis combines data on the industry-level stock of industrial robots with firms' balance sheet data for six European countries from 2004 to 2013. We find that industries with high robot exposure are characterized by dis-proportional increases in productivity in those firms that are already most productive to begin with. Those firms are able to increase their markups and overall profits, while less profitable firms within the same industry, country and year tend to see declining markups and profits. We also find that variation in robot exposure across industries is correlated with declining labor income shares, mainly through adjustments within firms that are initially large, productive and have low labor cost-to -sales ratios. In sum, our paper suggests that European manufacturing industries with higher robot adoption rates experience a stronger emergence of <em>superstar firms</em> and more pronounced shifts of the functional income distribution away from wages and towards profits.</p></div>\",\"PeriodicalId\":48127,\"journal\":{\"name\":\"International Journal of Industrial Organization\",\"volume\":\"97 \",\"pages\":\"Article 103085\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0167718724000407/pdfft?md5=3e2d998e375f55c605e5165667371176&pid=1-s2.0-S0167718724000407-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Industrial Organization\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167718724000407\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Organization","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167718724000407","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
We study how a recent digital automation technology—industrial robots—is associated with the distribution of sales, productivity, markups, and profits within industries. Our empirical analysis combines data on the industry-level stock of industrial robots with firms' balance sheet data for six European countries from 2004 to 2013. We find that industries with high robot exposure are characterized by dis-proportional increases in productivity in those firms that are already most productive to begin with. Those firms are able to increase their markups and overall profits, while less profitable firms within the same industry, country and year tend to see declining markups and profits. We also find that variation in robot exposure across industries is correlated with declining labor income shares, mainly through adjustments within firms that are initially large, productive and have low labor cost-to -sales ratios. In sum, our paper suggests that European manufacturing industries with higher robot adoption rates experience a stronger emergence of superstar firms and more pronounced shifts of the functional income distribution away from wages and towards profits.
期刊介绍:
The IJIO is an international venture that aims at full coverage of theoretical and empirical questions in industrial organization. This includes classic questions of strategic behavior and market structure. The journal also seeks to publish articles dealing with technological change, internal organization of firms, regulation, antitrust and productivity analysis. We recognize the need to allow for diversity of perspectives and research styles in industrial organization and we encourage submissions in theoretical work, empirical work, and case studies. The journal will also occasionally publish symposia on topical issues.