{"title":"非正式就业人员内部收入差异研究","authors":"Zhong-lai Zhang, M. Shi","doi":"10.1109/IEIS.2016.7551895","DOIUrl":null,"url":null,"abstract":"According to the China statistical yearbook data of 2014, the informal employment people have accounted for 53.4% of the total population of urban employment. At the same time, the income differentiation also occurred in the internal of informal employment. So this paper makes a research on the income of the informal employment through the Gini coefficient and regression analysis. We classify the informal employment people, while the study found the income difference is not so big. And all their work status, gender, area, skill level and other factors have significant influence on income.","PeriodicalId":334364,"journal":{"name":"2016 International Conference on Industrial Economics System and Industrial Security Engineering (IEIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the internal income difference of the informal employment personnel\",\"authors\":\"Zhong-lai Zhang, M. Shi\",\"doi\":\"10.1109/IEIS.2016.7551895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the China statistical yearbook data of 2014, the informal employment people have accounted for 53.4% of the total population of urban employment. At the same time, the income differentiation also occurred in the internal of informal employment. So this paper makes a research on the income of the informal employment through the Gini coefficient and regression analysis. We classify the informal employment people, while the study found the income difference is not so big. And all their work status, gender, area, skill level and other factors have significant influence on income.\",\"PeriodicalId\":334364,\"journal\":{\"name\":\"2016 International Conference on Industrial Economics System and Industrial Security Engineering (IEIS)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Industrial Economics System and Industrial Security Engineering (IEIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEIS.2016.7551895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Industrial Economics System and Industrial Security Engineering (IEIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEIS.2016.7551895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the internal income difference of the informal employment personnel
According to the China statistical yearbook data of 2014, the informal employment people have accounted for 53.4% of the total population of urban employment. At the same time, the income differentiation also occurred in the internal of informal employment. So this paper makes a research on the income of the informal employment through the Gini coefficient and regression analysis. We classify the informal employment people, while the study found the income difference is not so big. And all their work status, gender, area, skill level and other factors have significant influence on income.