{"title":"女性媒体发展在中国女性就业中的作用","authors":"Yifei Geng","doi":"10.54097/t63y0a74","DOIUrl":null,"url":null,"abstract":"In the context of the widening gender employment gap in China, this paper discusses whether the use of we-media can improve the employment rate of women. Closing the gender wage gap provides new impetus and is critical to achieving gender equality in China's labor market. Based on China provincial panel data from 2000 to 2020 and using 2015 as a time point, this paper establishes a multiple regression model to analyze the relationship between female employment and we-media. The paper also uses Variance Inflation Factor, F-test and Hausman test to identify the regression model. The result shows that we-media have some negative effect on female employment and developed cities are less affected than under-developed cities. The regression result has been influenced by statistical limitations in employment rates, the small sample of years and the COVID-19 pandemic. In this situation, more data will be used in the future to assist further analysis to reveal the true relationship.","PeriodicalId":346834,"journal":{"name":"Journal of Education, Humanities and Social Sciences","volume":"8 s1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Role of We-Media Development in Female Employment in China\",\"authors\":\"Yifei Geng\",\"doi\":\"10.54097/t63y0a74\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the context of the widening gender employment gap in China, this paper discusses whether the use of we-media can improve the employment rate of women. Closing the gender wage gap provides new impetus and is critical to achieving gender equality in China's labor market. Based on China provincial panel data from 2000 to 2020 and using 2015 as a time point, this paper establishes a multiple regression model to analyze the relationship between female employment and we-media. The paper also uses Variance Inflation Factor, F-test and Hausman test to identify the regression model. The result shows that we-media have some negative effect on female employment and developed cities are less affected than under-developed cities. The regression result has been influenced by statistical limitations in employment rates, the small sample of years and the COVID-19 pandemic. In this situation, more data will be used in the future to assist further analysis to reveal the true relationship.\",\"PeriodicalId\":346834,\"journal\":{\"name\":\"Journal of Education, Humanities and Social Sciences\",\"volume\":\"8 s1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Education, Humanities and Social Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54097/t63y0a74\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Education, Humanities and Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54097/t63y0a74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Role of We-Media Development in Female Employment in China
In the context of the widening gender employment gap in China, this paper discusses whether the use of we-media can improve the employment rate of women. Closing the gender wage gap provides new impetus and is critical to achieving gender equality in China's labor market. Based on China provincial panel data from 2000 to 2020 and using 2015 as a time point, this paper establishes a multiple regression model to analyze the relationship between female employment and we-media. The paper also uses Variance Inflation Factor, F-test and Hausman test to identify the regression model. The result shows that we-media have some negative effect on female employment and developed cities are less affected than under-developed cities. The regression result has been influenced by statistical limitations in employment rates, the small sample of years and the COVID-19 pandemic. In this situation, more data will be used in the future to assist further analysis to reveal the true relationship.