Uncovering gender pay disparities: an examination of chinese gig workers' earnings and asset

Abstract

The analysis utilized gender pay disparities among Chinese gig workers' earnings and asset ownership in Chinese households. To analyse the determinants of gig workers' earnings and asset ownership disparities, we avail data from China Household Finance Survey (CHFS) 2017 sample. Possible presence of endogeneity is accounted in the model specification as well as by using the Lewbel heteroscedasticity identified endogenous variables estimator and Oster's (2019) technique to test for potential omitted variable bias and the coefficient stability of our conflict variable. In addition, we are the first to scrutinise disparity and discrimination by conducting the Blinder–Oaxaca decomposition of asset ownership model by gender, Gig worker, region (Eastern vs. non-Eastern provinces), and urbanisation status (rural vs. urban residents). Our analysis shows: (i) Gig workers who are women typically make less money; (ii) asset ownership determinants including durable goods and precious metals discrimination are found. Female gig workers found discrimination in durable goods; and (iii) the Blinder– Oaxaca decomposition analyses show statistically significant gender and gig workers discrimination in asset ownership in terms of precious metals. However, there is statistically significant discrimination between Eastern and non-Eastern provinces and between rural and urban households in asset ownership.