Fei Peng , Lili Kang , Xiaocong Yang , Sajid Anwar
{"title":"Discrimination based on employer preferences: The height premium in China","authors":"Fei Peng , Lili Kang , Xiaocong Yang , Sajid Anwar","doi":"10.1016/j.jpolmod.2024.10.002","DOIUrl":null,"url":null,"abstract":"<div><div>This paper examines the policy issue of height-based discrimination in China's labour market using a comprehensive nationwide survey dataset spanning from 1989 to 2015. Employing a theoretical framework that considers statistical discrimination resulting from employer preferences for cognitive and non-cognitive skills associated with productivity, the research investigates the impact of height on hourly wages. The empirical analysis reveals a height premium of approximately 5.97 % per ten-centimetre increase and identifies educational attainment as a factor explaining about one-third of this premium. Furthermore, the study finds that female employees with higher education levels experience greater height premiums. Interestingly, the height premium is smaller in the public sector, senior technical occupations, in regions with a collectivist culture that centres around traditional rice-growing practices, and during the earlier transition period (before 2000) when cognitive skills held more significance. These findings suggest the widespread occurrence of height-based statistical discrimination in China’s labour market and underscore the necessity for the policy interventions of health care and nutrition intake in early life and the later effective anti-discrimination regulations in labour market.</div></div>","PeriodicalId":48015,"journal":{"name":"Journal of Policy Modeling","volume":"47 2","pages":"Pages 276-297"},"PeriodicalIF":3.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Policy Modeling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0161893824001479","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the policy issue of height-based discrimination in China's labour market using a comprehensive nationwide survey dataset spanning from 1989 to 2015. Employing a theoretical framework that considers statistical discrimination resulting from employer preferences for cognitive and non-cognitive skills associated with productivity, the research investigates the impact of height on hourly wages. The empirical analysis reveals a height premium of approximately 5.97 % per ten-centimetre increase and identifies educational attainment as a factor explaining about one-third of this premium. Furthermore, the study finds that female employees with higher education levels experience greater height premiums. Interestingly, the height premium is smaller in the public sector, senior technical occupations, in regions with a collectivist culture that centres around traditional rice-growing practices, and during the earlier transition period (before 2000) when cognitive skills held more significance. These findings suggest the widespread occurrence of height-based statistical discrimination in China’s labour market and underscore the necessity for the policy interventions of health care and nutrition intake in early life and the later effective anti-discrimination regulations in labour market.
期刊介绍:
The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.