{"title":"加强数字化技术对外出务工人员的监管","authors":"Odiljon Rixsimbayev, Sulkhiya Gazieva, Mukhabbat Toshmurodova, Gavkhar Khidirova, Narzillo Rustamov","doi":"10.1145/3584202.3584277","DOIUrl":null,"url":null,"abstract":"Our goal is to precisely define the relationship between digitalization process development and labor migrant workers' outflow abroad. This paper contests the claim that any relationship between labor migrant workers and the digital regulation process. The research also aimed to determine how important ICT is for workers' daily activity abroad in evidence from the 5 regions of Uzbekistan. The study uses quantitative analysis to gain insights into migrant workers' pull factors. We analyzed a unique panel dataset of five independent variables in the period of ranging 2017-2021. There is a linear relationship (correlation) between keywords occurrences and their total strength. But, using fixed effects and random effects models, we found significant changes in the model. By analyzing the Hausman test we found test results Prob>chi2 = 0.0001, so we use Random effect model parameters. But in this model, only internet personal users have a negative relationship by 3.428 units. As for sigma_u-303.64505, sigma_e- 824.88704 and rho .1193317 (fraction of variance due to u_i), analysis of the variability over time showed F-test that all u_i=0: F (4, 15) = 0.25 with Prob > F = 0.9075. It means model estimations need not necessarily pooled regression results. Mainly the study provides the first detailed evidence of the association with a migrant who left the country for working in Uzbekistan regions.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strengthen Digitalization Technologies on Regulation of Labor Migrant Workers Abroad\",\"authors\":\"Odiljon Rixsimbayev, Sulkhiya Gazieva, Mukhabbat Toshmurodova, Gavkhar Khidirova, Narzillo Rustamov\",\"doi\":\"10.1145/3584202.3584277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our goal is to precisely define the relationship between digitalization process development and labor migrant workers' outflow abroad. This paper contests the claim that any relationship between labor migrant workers and the digital regulation process. The research also aimed to determine how important ICT is for workers' daily activity abroad in evidence from the 5 regions of Uzbekistan. The study uses quantitative analysis to gain insights into migrant workers' pull factors. We analyzed a unique panel dataset of five independent variables in the period of ranging 2017-2021. There is a linear relationship (correlation) between keywords occurrences and their total strength. But, using fixed effects and random effects models, we found significant changes in the model. By analyzing the Hausman test we found test results Prob>chi2 = 0.0001, so we use Random effect model parameters. But in this model, only internet personal users have a negative relationship by 3.428 units. As for sigma_u-303.64505, sigma_e- 824.88704 and rho .1193317 (fraction of variance due to u_i), analysis of the variability over time showed F-test that all u_i=0: F (4, 15) = 0.25 with Prob > F = 0.9075. It means model estimations need not necessarily pooled regression results. Mainly the study provides the first detailed evidence of the association with a migrant who left the country for working in Uzbekistan regions.\",\"PeriodicalId\":438341,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Future Networks & Distributed Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Future Networks & Distributed Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584202.3584277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584202.3584277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
我们的目标是准确界定数字化进程发展与农民工外流之间的关系。本文对农民工与数字监管过程之间存在任何关系的说法提出了质疑。该研究还旨在通过乌兹别克斯坦5个地区的证据确定ICT对工人在国外日常活动的重要性。本研究采用定量分析的方法来深入了解农民工的拉动因素。我们分析了一个独特的面板数据集,其中包括2017-2021年期间的五个自变量。关键词的出现次数与其总强度之间存在线性关系(相关性)。但是,使用固定效应和随机效应模型,我们发现模型发生了显著变化。通过分析Hausman检验,我们发现检验结果Prob>chi2 = 0.0001,所以我们使用Random effect模型参数。但在该模型中,只有互联网个人用户负向关系为3.428个单位。对于sigma_u-303.64505, sigma_e- 824.88704和rho .1193317(由于u_i的方差分数),随时间的变异性分析显示,F-检验表明所有u_i=0: F (4,15) = 0.25, Prob > F = 0.9075。这意味着模型估计不一定需要汇总回归结果。主要是,这项研究提供了第一个详细的证据,证明这种联系与离开该国到乌兹别克斯坦地区工作的移民有关。
Strengthen Digitalization Technologies on Regulation of Labor Migrant Workers Abroad
Our goal is to precisely define the relationship between digitalization process development and labor migrant workers' outflow abroad. This paper contests the claim that any relationship between labor migrant workers and the digital regulation process. The research also aimed to determine how important ICT is for workers' daily activity abroad in evidence from the 5 regions of Uzbekistan. The study uses quantitative analysis to gain insights into migrant workers' pull factors. We analyzed a unique panel dataset of five independent variables in the period of ranging 2017-2021. There is a linear relationship (correlation) between keywords occurrences and their total strength. But, using fixed effects and random effects models, we found significant changes in the model. By analyzing the Hausman test we found test results Prob>chi2 = 0.0001, so we use Random effect model parameters. But in this model, only internet personal users have a negative relationship by 3.428 units. As for sigma_u-303.64505, sigma_e- 824.88704 and rho .1193317 (fraction of variance due to u_i), analysis of the variability over time showed F-test that all u_i=0: F (4, 15) = 0.25 with Prob > F = 0.9075. It means model estimations need not necessarily pooled regression results. Mainly the study provides the first detailed evidence of the association with a migrant who left the country for working in Uzbekistan regions.